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Autor MacIntyre, John |
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Crear una solicitud de compra Refinar búsquedaArtificial Intelligence Applications and Innovations / MacIntyre, John ; Maglogiannis, Ilias ; Iliadis, Lazaros ; Pimenidis, Elias
TÃtulo : Artificial Intelligence Applications and Innovations : 15th IFIP WG 12.5 International Conference, AIAI 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / Tipo de documento: documento electrónico Autores: MacIntyre, John, ; Maglogiannis, Ilias, ; Iliadis, Lazaros, ; Pimenidis, Elias, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXIV, 689 p. 265 ilustraciones, 185 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-19823-7 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Procesamiento de datos Visión por computador Sistemas de almacenamiento y recuperación de información. Software de la aplicacion TeorÃa de las máquinas MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Lenguajes formales y teorÃa de los autómatas Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 15.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2019, celebrada en Hersonissos, Creta, Grecia, en mayo de 2019. Los 49 artÃculos completos y 6 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados. de 101 presentaciones. Cubren una amplia gama de temas como ANN de aprendizaje profundo; algoritmos genéticos - optimización; modelado de restricciones; Algoritmos de entrenamiento de RNA; modelado inteligente de redes sociales; minerÃa de textos/traducción automática; modelado difuso; algoritmos y sistemas biomédicos y bioinformáticos; selección de caracterÃsticas; reconocimiento de emociones; modelos hÃbridos inteligentes; clasificación - reconocimiento de patrones; modelado de seguridad inteligente; juegos estocásticos complejos; aprendizaje automático no supervisado; RNA en la industria; agrupamiento inteligente; ANN convolucional y recurrente; sistemas de recomendación; modelado de telecomunicaciones inteligentes; y sistemas hÃbridos inteligentes que utilizan Internet de las cosas. Los artÃculos están organizados en las siguientes secciones temáticas: Detección de anomalÃas de IA: aprendizaje activo; vehÃculos autónomos - vehÃculos aéreos; IA biomédica; clasificación - agrupación; programación de restricciones: modelado inspirado en el cerebro; aprendizaje profundo: ANN convolucional; modelado difuso; autómatas de aprendizaje: razonamiento basado en la lógica; aprendizaje automático: lenguaje natural; multiagente - IoT; vuelo y robot inspirados en la naturaleza; control - visión artificial; y sistemas de recomendación. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recognition; intelligent security modeling; complex stochastic games; unsupervised machine learning; ANN in industry; intelligent clustering; convolutional and recurrent ANN; recommender systems; intelligent telecommunications modeling; and intelligent hybrid systems using Internet of Things. The papers are organized in the following topical sections: AI anomaly detection - active learning; autonomous vehicles - aerial vehicles; biomedical AI; classification - clustering; constraint programming - brain inspired modeling; deep learning - convolutional ANN; fuzzy modeling; learning automata - logic based reasoning; machine learning - natural language; multi agent - IoT; nature inspired flight and robot; control - machine vision; and recommendation systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Artificial Intelligence Applications and Innovations : 15th IFIP WG 12.5 International Conference, AIAI 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / [documento electrónico] / MacIntyre, John, ; Maglogiannis, Ilias, ; Iliadis, Lazaros, ; Pimenidis, Elias, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXIV, 689 p. 265 ilustraciones, 185 ilustraciones en color.
ISBN : 978-3-030-19823-7
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Procesamiento de datos Visión por computador Sistemas de almacenamiento y recuperación de información. Software de la aplicacion TeorÃa de las máquinas MinerÃa de datos y descubrimiento de conocimientos Almacenamiento y recuperación de información Aplicaciones informáticas y de sistemas de información Lenguajes formales y teorÃa de los autómatas Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 15.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2019, celebrada en Hersonissos, Creta, Grecia, en mayo de 2019. Los 49 artÃculos completos y 6 artÃculos breves presentados fueron cuidadosamente revisados ​​y seleccionados. de 101 presentaciones. Cubren una amplia gama de temas como ANN de aprendizaje profundo; algoritmos genéticos - optimización; modelado de restricciones; Algoritmos de entrenamiento de RNA; modelado inteligente de redes sociales; minerÃa de textos/traducción automática; modelado difuso; algoritmos y sistemas biomédicos y bioinformáticos; selección de caracterÃsticas; reconocimiento de emociones; modelos hÃbridos inteligentes; clasificación - reconocimiento de patrones; modelado de seguridad inteligente; juegos estocásticos complejos; aprendizaje automático no supervisado; RNA en la industria; agrupamiento inteligente; ANN convolucional y recurrente; sistemas de recomendación; modelado de telecomunicaciones inteligentes; y sistemas hÃbridos inteligentes que utilizan Internet de las cosas. Los artÃculos están organizados en las siguientes secciones temáticas: Detección de anomalÃas de IA: aprendizaje activo; vehÃculos autónomos - vehÃculos aéreos; IA biomédica; clasificación - agrupación; programación de restricciones: modelado inspirado en el cerebro; aprendizaje profundo: ANN convolucional; modelado difuso; autómatas de aprendizaje: razonamiento basado en la lógica; aprendizaje automático: lenguaje natural; multiagente - IoT; vuelo y robot inspirados en la naturaleza; control - visión artificial; y sistemas de recomendación. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recognition; intelligent security modeling; complex stochastic games; unsupervised machine learning; ANN in industry; intelligent clustering; convolutional and recurrent ANN; recommender systems; intelligent telecommunications modeling; and intelligent hybrid systems using Internet of Things. The papers are organized in the following topical sections: AI anomaly detection - active learning; autonomous vehicles - aerial vehicles; biomedical AI; classification - clustering; constraint programming - brain inspired modeling; deep learning - convolutional ANN; fuzzy modeling; learning automata - logic based reasoning; machine learning - natural language; multi agent - IoT; nature inspired flight and robot; control - machine vision; and recommendation systems. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Artificial Intelligence Applications and Innovations : 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Maglogiannis, Ilias, ; MacIntyre, John, ; Iliadis, Lazaros, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXXIII, 795 p. 284 ilustraciones, 223 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-79150-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Software de la aplicacion Red de computadoras Gestión de base de datos Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 17.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2021, celebrada virtualmente y en Hersonissos, Creta, Grecia, en junio de 2021. Los 50 artÃculos completos y 11 artÃculos breves presentados fueron revisados ​​cuidadosamente y seleccionado entre 113 presentaciones. Cubren una amplia gama de temas relacionados con aspectos técnicos, legales y éticos de los sistemas de inteligencia artificial y sus aplicaciones y están organizados en las siguientes secciones: modelado adaptativo/neurociencia; IA en aplicaciones biomédicas; Impactos de la IA/big data; aprendizaje automático automatizado; agentes autónomos; agrupamiento; NN convolucional; minerÃa de datos/recuento de palabras; aprendizaje profundo; modelado difuso; computación hiperdimensional; Internet de las Cosas/Internet de la energÃa; aprendizaje automático; sistemas multiagente; lenguaje natural; sistemas de recomendación; análisis de los sentimientos; y aplicaciones inteligentes de blockchain/ciberseguridad. El capÃtulo "Mejora de la flexibilidad de la programación de la producción en la producción de acero plano mediante enfoques estándar y basados ​​en IA: desafÃos y perspectiva" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Adaptive Modeling, Neuroscience -- 'If Only I Would Have Done That...': A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise -- AI in Biomedical Applications -- ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis -- Improved Biomedical Entity Recognition via longer context modelling -- Scalable NPairLoss-based Deep-ECG for ECG Verification -- A Comparative Study of Embedded Feature Selection Methods on Microarray data -- AI Impacts/Big Data -- The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications -- Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- An Ontology-Based Concept for Meta AutoML -- Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19 -- Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task -- Clustering -- A Multi-View Clustering Approach for Analysis of Streaming Data -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- Self-organizing maps for optimized robotic trajectory planning applied to surface coating -- Convolutional Neural Networks -- An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices -- Automatic Classification of XCT Images in Manufacturing -- Cross-lingual Approaches for Task-specific Dialogue ActRecognition -- Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size -- Robustness testing of AI systems: A case study for traffic sign recognition -- Data Mining/ Word Counts -- BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics -- Topic identification via human interpretation of word clouds: The case of Instagram hashtags -- Deep Learning -- A Comparative Study of Deep Learning Techniques for Financial Indices Prediction -- An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering -- Collaborative Edge-Cloud Computing for Personalized Fall Detection -- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection -- Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems -- System-wide anomaly detection of industrial control systems via deep learning and correlation analysis -- Verification of Size Invariance in DNN Activations using Concept Embeddings -- Artificial Intelligence in Music Composition -- Deep Learning and AI for Optimization in 5GTechnology -- Fuzzy Modeling -- Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices -- Hyperdimensional Computing -- PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing -- Hyperdimensional Computing with Learnable Projection for User Adaptation Framework -- Internet of Things/Internet of Energy -- "SAVE" – an Integrated Approach of Personal and Home Safety for Active Assisted Living -- BEMS in the Era of Internet of Energy: A Review -- Machine Learning -- A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data -- An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning -- Classification of Point Clouds with Neural Networks and Continuum-Type Memories -- Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology -- Intelligent Techniques and Hybrid SystemsExperiments Using the Acumen Modeling and Simulation Environment -- Predicting CO2 Emissions for Buildings Using Regression and Classification -- Robust Pose Estimation Based on Maximum Correntropy Criterion -- The Generative Adversarial Random Neural Network -- Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform -- Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach -- Multi Agent Systems -- Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms -- Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives -- Natural Language -- A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction -- An Approach Utilizing Linguistic Features for Fake News Detection -- CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modelingapproach -- Machine Learning Meets Natural Language Processing - The story so far -- SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies -- Recommendation Systems -- Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage -- Recommending Database Architectures For Social Queries: A Twitter Case Study -- Science4Fashion: An Autonomous Recommendation System for Fashion Designers -- Sentiment Analysis -- A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news -- Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis -- Smart Blockchain Applications/ Cybersecurity -- Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework -- Validation and Verification for Data Marketplaces. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter "Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Artificial Intelligence Applications and Innovations : 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings / [documento electrónico] / Maglogiannis, Ilias, ; MacIntyre, John, ; Iliadis, Lazaros, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXXIII, 795 p. 284 ilustraciones, 223 ilustraciones en color.
ISBN : 978-3-030-79150-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Software de la aplicacion Red de computadoras Gestión de base de datos Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 17.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2021, celebrada virtualmente y en Hersonissos, Creta, Grecia, en junio de 2021. Los 50 artÃculos completos y 11 artÃculos breves presentados fueron revisados ​​cuidadosamente y seleccionado entre 113 presentaciones. Cubren una amplia gama de temas relacionados con aspectos técnicos, legales y éticos de los sistemas de inteligencia artificial y sus aplicaciones y están organizados en las siguientes secciones: modelado adaptativo/neurociencia; IA en aplicaciones biomédicas; Impactos de la IA/big data; aprendizaje automático automatizado; agentes autónomos; agrupamiento; NN convolucional; minerÃa de datos/recuento de palabras; aprendizaje profundo; modelado difuso; computación hiperdimensional; Internet de las Cosas/Internet de la energÃa; aprendizaje automático; sistemas multiagente; lenguaje natural; sistemas de recomendación; análisis de los sentimientos; y aplicaciones inteligentes de blockchain/ciberseguridad. El capÃtulo "Mejora de la flexibilidad de la programación de la producción en la producción de acero plano mediante enfoques estándar y basados ​​en IA: desafÃos y perspectiva" está disponible en acceso abierto bajo una licencia internacional Creative Commons Attribution 4.0 a través de link.springer.com. Nota de contenido: Adaptive Modeling, Neuroscience -- 'If Only I Would Have Done That...': A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise -- AI in Biomedical Applications -- ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis -- Improved Biomedical Entity Recognition via longer context modelling -- Scalable NPairLoss-based Deep-ECG for ECG Verification -- A Comparative Study of Embedded Feature Selection Methods on Microarray data -- AI Impacts/Big Data -- The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications -- Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- An Ontology-Based Concept for Meta AutoML -- Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19 -- Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task -- Clustering -- A Multi-View Clustering Approach for Analysis of Streaming Data -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- Self-organizing maps for optimized robotic trajectory planning applied to surface coating -- Convolutional Neural Networks -- An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices -- Automatic Classification of XCT Images in Manufacturing -- Cross-lingual Approaches for Task-specific Dialogue ActRecognition -- Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size -- Robustness testing of AI systems: A case study for traffic sign recognition -- Data Mining/ Word Counts -- BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics -- Topic identification via human interpretation of word clouds: The case of Instagram hashtags -- Deep Learning -- A Comparative Study of Deep Learning Techniques for Financial Indices Prediction -- An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering -- Collaborative Edge-Cloud Computing for Personalized Fall Detection -- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection -- Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems -- System-wide anomaly detection of industrial control systems via deep learning and correlation analysis -- Verification of Size Invariance in DNN Activations using Concept Embeddings -- Artificial Intelligence in Music Composition -- Deep Learning and AI for Optimization in 5GTechnology -- Fuzzy Modeling -- Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices -- Hyperdimensional Computing -- PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing -- Hyperdimensional Computing with Learnable Projection for User Adaptation Framework -- Internet of Things/Internet of Energy -- "SAVE" – an Integrated Approach of Personal and Home Safety for Active Assisted Living -- BEMS in the Era of Internet of Energy: A Review -- Machine Learning -- A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data -- An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning -- Classification of Point Clouds with Neural Networks and Continuum-Type Memories -- Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology -- Intelligent Techniques and Hybrid SystemsExperiments Using the Acumen Modeling and Simulation Environment -- Predicting CO2 Emissions for Buildings Using Regression and Classification -- Robust Pose Estimation Based on Maximum Correntropy Criterion -- The Generative Adversarial Random Neural Network -- Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform -- Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach -- Multi Agent Systems -- Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms -- Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives -- Natural Language -- A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction -- An Approach Utilizing Linguistic Features for Fake News Detection -- CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modelingapproach -- Machine Learning Meets Natural Language Processing - The story so far -- SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies -- Recommendation Systems -- Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage -- Recommending Database Architectures For Social Queries: A Twitter Case Study -- Science4Fashion: An Autonomous Recommendation System for Fashion Designers -- Sentiment Analysis -- A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news -- Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis -- Smart Blockchain Applications/ Cybersecurity -- Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework -- Validation and Verification for Data Marketplaces. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, held virtually and in Hersonissos, Crete, Greece, in June 2021. The 50 full papers and 11 short papers presented were carefully reviewed and selected from 113 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: adaptive modeling/ neuroscience; AI in biomedical applications; AI impacts/ big data; automated machine learning; autonomous agents; clustering; convolutional NN; data mining/ word counts; deep learning; fuzzy modeling; hyperdimensional computing; Internet of Things/ Internet of energy; machine learning; multi-agent systems; natural language; recommendation systems; sentiment analysis; and smart blockchain applications/ cybersecurity. Chapter "Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-based Approaches: Challenges and Perspective" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Artificial Intelligence Applications and Innovations : AIAI 2019 IFIP WG 12.5 International Workshops: MHDW and 5G-PINE 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / Tipo de documento: documento electrónico Autores: MacIntyre, John, ; Maglogiannis, Ilias, ; Iliadis, Lazaros, ; Pimenidis, Elias, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XIII, 244 p. 91 ilustraciones, 56 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-19909-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Red de computadoras Computadoras digitales electrónicas Software de la aplicacion Sistemas operativos (computadoras) Redes de comunicación informática Rendimiento y evaluación del sistema Aplicaciones informáticas y de sistemas de información Sistemas operativos Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de dos talleres internacionales celebrados como eventos paralelos de la 15.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2019, en Hersonissos, Creta, Grecia, en mayo de 2019: el 8.º Taller de Datos HumanÃsticos Mineros, MHDW 2019 y el 4.º Taller sobre 5G-Putting Intelligence to the Network Edge, 5G-PINE 2019. Los 6 artÃculos completos y 4 artÃculos breves presentados en MHDW 2019 fueron cuidadosamente revisados ​​y seleccionados entre 13 presentaciones; De los 14 artÃculos presentados a 5G-PINE 2019, 6 fueron aceptados como artÃculos completos y 1 como artÃculo breve. Los artÃculos del MHDW se centran en la aplicación de técnicas innovadoras y existentes de combinación, fusión y extracción de datos y de descubrimiento y gestión de conocimientos (como reglas de decisión, árboles de decisión, reglas de asociación, ontologÃas y alineamientos, agrupación, filtrado, aprendizaje, sistemas de clasificación, redes neuronales, máquinas de vectores de soporte, preprocesamiento, posprocesamiento, selección de caracterÃsticas, técnicas de visualización) hasta datos derivados de todas las áreas de las ciencias humanÃsticas, por ejemplo, informática lingüÃstica, histórica, conductual, psicológica, artÃstica, musical, educativa, social y ubicua. bioinformática. Los documentos presentados en 5G-PINE se centran en varios hallazgos innovadores provenientes directamente de la investigación europea moderna en el área de las infraestructuras de telecomunicaciones 5G modernas y los servicios innovadores relacionados y cubren una amplia variedad de aspectos técnicos y comerciales que promueven opciones para el crecimiento y el desarrollo. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of two International Workshops held as parallel events of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, in Hersonissos, Crete, Greece, in May 2019: the 8th Mining Humanistic Data Workshop, MHDW 2019, and the 4th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2019. The 6 full papers and 4 short papers presented at MHDW 2019 were carefully reviewed and selected from 13 submissions; out of the 14 papers submitted to 5G-PINE 2019, 6 were accepted as full papers and 1 as short paper. The MHDW papers focus on the application of innovative as well as existing data matching, fusion and mining and knowledge discovery and management techniques (such as decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from all areas of humanistic sciences, e.g., linguistic, historical, behavioral, psychological, artistic, musical, educational, social, and ubiquitous computing and bioinformatics. The papers presented at 5G-PINE focus on several innovative findings coming directly from modern European research in the area of modern 5G telecommunications infrastructures and related innovative services and cover a wide variety of technical and business aspects promoting options for growth and development. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Artificial Intelligence Applications and Innovations : AIAI 2019 IFIP WG 12.5 International Workshops: MHDW and 5G-PINE 2019, Hersonissos, Crete, Greece, May 24–26, 2019, Proceedings / [documento electrónico] / MacIntyre, John, ; Maglogiannis, Ilias, ; Iliadis, Lazaros, ; Pimenidis, Elias, . - 1 ed. . - [s.l.] : Springer, 2019 . - XIII, 244 p. 91 ilustraciones, 56 ilustraciones en color.
ISBN : 978-3-030-19909-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Red de computadoras Computadoras digitales electrónicas Software de la aplicacion Sistemas operativos (computadoras) Redes de comunicación informática Rendimiento y evaluación del sistema Aplicaciones informáticas y de sistemas de información Sistemas operativos Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de dos talleres internacionales celebrados como eventos paralelos de la 15.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2019, en Hersonissos, Creta, Grecia, en mayo de 2019: el 8.º Taller de Datos HumanÃsticos Mineros, MHDW 2019 y el 4.º Taller sobre 5G-Putting Intelligence to the Network Edge, 5G-PINE 2019. Los 6 artÃculos completos y 4 artÃculos breves presentados en MHDW 2019 fueron cuidadosamente revisados ​​y seleccionados entre 13 presentaciones; De los 14 artÃculos presentados a 5G-PINE 2019, 6 fueron aceptados como artÃculos completos y 1 como artÃculo breve. Los artÃculos del MHDW se centran en la aplicación de técnicas innovadoras y existentes de combinación, fusión y extracción de datos y de descubrimiento y gestión de conocimientos (como reglas de decisión, árboles de decisión, reglas de asociación, ontologÃas y alineamientos, agrupación, filtrado, aprendizaje, sistemas de clasificación, redes neuronales, máquinas de vectores de soporte, preprocesamiento, posprocesamiento, selección de caracterÃsticas, técnicas de visualización) hasta datos derivados de todas las áreas de las ciencias humanÃsticas, por ejemplo, informática lingüÃstica, histórica, conductual, psicológica, artÃstica, musical, educativa, social y ubicua. bioinformática. Los documentos presentados en 5G-PINE se centran en varios hallazgos innovadores provenientes directamente de la investigación europea moderna en el área de las infraestructuras de telecomunicaciones 5G modernas y los servicios innovadores relacionados y cubren una amplia variedad de aspectos técnicos y comerciales que promueven opciones para el crecimiento y el desarrollo. . Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of two International Workshops held as parallel events of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, in Hersonissos, Crete, Greece, in May 2019: the 8th Mining Humanistic Data Workshop, MHDW 2019, and the 4th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2019. The 6 full papers and 4 short papers presented at MHDW 2019 were carefully reviewed and selected from 13 submissions; out of the 14 papers submitted to 5G-PINE 2019, 6 were accepted as full papers and 1 as short paper. The MHDW papers focus on the application of innovative as well as existing data matching, fusion and mining and knowledge discovery and management techniques (such as decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from all areas of humanistic sciences, e.g., linguistic, historical, behavioral, psychological, artistic, musical, educational, social, and ubiquitous computing and bioinformatics. The papers presented at 5G-PINE focus on several innovative findings coming directly from modern European research in the area of modern 5G telecommunications infrastructures and related innovative services and cover a wide variety of technical and business aspects promoting options for growth and development. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops : 5G-PINE 2021, AI-BIO 2021, DAAI 2021, DARE 2021, EEAI 2021, and MHDW 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Maglogiannis, Ilias, ; MacIntyre, John, ; Iliadis, Lazaros, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XVI, 499 p. 147 ilustraciones, 126 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-79157-5 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Software de la aplicacion Red de computadoras Sistemas informáticos Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Implementación de sistema informático Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de seis talleres internacionales celebrados como eventos paralelos de la 17.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2021, virtualmente y en Hersonissos, Creta, Grecia, en junio de 2021: el 6.º Taller sobre 5G. -Llevar la Inteligencia al Borde de la Red, 5G-PINE 2021; Taller de Inteligencia Artificial en IngenierÃa Biomédica e Informática, AI-BIO 2021; Taller sobre Aplicaciones de la IA en Defensa, DAAI 2021; Taller de IA distribuida para plataformas con recursos limitados, DARE 2021; Taller de Eficiencia Energética e Inteligencia Artificial, EEAI 2021; y el 10º Taller de Datos HumanÃsticos Mineros, MHDW 2021. Los 24 artÃculos completos y 16 artÃculos breves presentados en estos talleres fueron cuidadosamente revisados ​​y seleccionados entre 72 presentaciones. Los artÃculos presentados en 5G-PINE se centran en las últimas aplicaciones de IA en la industria de las telecomunicaciones y la IA en infraestructuras de telecomunicaciones modernas orientadas a 5G. Los artÃculos seleccionados para AI-BIO 2021 presentan investigaciones sobre el tema de la IA, en su sentido más amplio, en ingenierÃa biomédica e informática de la salud. Los artÃculos de DAAI 2021 tienen como objetivo presentar las evoluciones recientes en inteligencia artificial aplicables a aplicaciones de defensa y seguridad. Los artÃculos seleccionados para DARE 2021 abordan una variedad de temas pertinentes y desafiantes dentro del alcance de la IA distribuida para plataformas con recursos limitados. Los artÃculos presentados en EEAI 2021 tienen como objetivo reunir enfoques interdisciplinarios que se centran en la aplicación de soluciones impulsadas por IA para aumentar y mejorar la eficiencia energética de los edificios residenciales y terciarios y el comportamiento de los ocupantes. Los artÃculos del MHDW se centran en temas como sistemas de recomendación, análisis de sentimientos, reconocimiento de patrones, extracción de datos y series temporales. Nota de contenido: 6th Workshop on "5G – Putting Intelligence to the Network Edge" (5G-PINE 2021) -- 5G Communications as "Enabler" for Smart Power Grids: The Case of the Smart5Grid Project -- 5G-VICTORI: Future Railway Communications Requirements Driving 5G Deployments in Railways -- 5G-VICTORI: Optimizing Media Streaming in Mobile Environments using mmWave, NBMP and 5G Edge Computing -- A Novel Architectural Approach for the Provision of Scalable and Automated Network Slice Management, in 5G and Beyond -- A prototype 5G/IoT implementation for transforming a legacy facility to a Smart Factory -- Advanced first responders' services by using FASTER project Architectural Solution -- High mobility 5G services for vertical industries - network operator's view -- Machine Learning-Based, Networking and Computing Infrastructure Resource Management -- Power Control in 5G Heterogeneous Cells considering User Demands using Deep Reinforcement Learning -- The Challenge of Security Breaches in the Era of 5G Networking.-Top Challenges in 5G Densification -- TYPHON: Hybrid Data Lakes for Real-time Big Data Analytics – An Evaluation Framework in the Telecom Industry -- V2X Communications for the Support of GLOSA and Intelligent Intersection Applications -- Artificial Intelligence in Biomedical Engineering and Informatics Workshop (AI-BIO 2021) -- A Machine Learning Approach for Recognition of Elders' Activities using Passive Sensors -- Analyzing Collective Knowledge towards Public Health Policy Making -- Evaluating mental patients utilizing video analysis of facial expressions -- An inception-based architecture for haemodialysis time series classification -- Workshop on Defense Applications of AI (DAAI 2021) -- A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks -- A Multimodal AI-leveraged Counter-UAV Framework for Diverse Environments -- Cyber attack detection and trust management toolkit for defence-related microgrids -- On the potential of SDN enabled network deployment in tactical environments -- Distributed AI for Resource - Constrained Platforms Workshop (DARE 2021) -- A first sensitivity study of multi-object multi-camera tracking performance -- An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases -- Distributed data compression for edge devices -- PFilter: Privacy-aware and secure data filtering at the edge for distributed edge analytics -- Towards a Distributed Learning Architecture for Securing ISP Home Customers -- Energy Efficiency and Artificial Intelligence Workshop (ΕΕΑΙ 2021) -- A Recommendation Specific Human Activity Recognition Dataset with Mobile Device's Sensor Data -- Explainable needn't be (much) less accurate: evaluating an explainable AI dashboard for energy forecasting -- Improving Energy Efficiency in Tertiary Buildings through user-driven Recommendations delivered on optimal Micro-moments -- Semantic modeling of trustworthy IoT entities in energy-efficient cultural spaces -- Short Term Net Imbalance Volume Forecasting through Machine and Deep Learning: A UK case study -- 10th Mining Humanistic Data Workshop (MHDW 2021) -- Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks -- Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark -- Movie Recommendation System based on Character Graph Embeddings -- Privacy-Preserving Text Labelling Through Crowdsourcing -- Recognition of epidemic cases in social web texts -- Active Bagging Ensemble Selection -- Applying Machine Learning to Predict Whether Learners will Start a MOOC after Initial Registration -- Self-supervised approach for Urban Tree Recognition on Aerial Images -- Visitor behavior analysis for an ancient Greek technology exhibition. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. Thepapers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Artificial Intelligence Applications and Innovations. AIAI 2021 IFIP WG 12.5 International Workshops : 5G-PINE 2021, AI-BIO 2021, DAAI 2021, DARE 2021, EEAI 2021, and MHDW 2021, Hersonissos, Crete, Greece, June 25–27, 2021, Proceedings / [documento electrónico] / Maglogiannis, Ilias, ; MacIntyre, John, ; Iliadis, Lazaros, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVI, 499 p. 147 ilustraciones, 126 ilustraciones en color.
ISBN : 978-3-030-79157-5
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Software de la aplicacion Red de computadoras Sistemas informáticos Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Implementación de sistema informático Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de seis talleres internacionales celebrados como eventos paralelos de la 17.ª Conferencia Internacional IFIP WG 12.5 sobre Aplicaciones e Innovaciones de Inteligencia Artificial, AIAI 2021, virtualmente y en Hersonissos, Creta, Grecia, en junio de 2021: el 6.º Taller sobre 5G. -Llevar la Inteligencia al Borde de la Red, 5G-PINE 2021; Taller de Inteligencia Artificial en IngenierÃa Biomédica e Informática, AI-BIO 2021; Taller sobre Aplicaciones de la IA en Defensa, DAAI 2021; Taller de IA distribuida para plataformas con recursos limitados, DARE 2021; Taller de Eficiencia Energética e Inteligencia Artificial, EEAI 2021; y el 10º Taller de Datos HumanÃsticos Mineros, MHDW 2021. Los 24 artÃculos completos y 16 artÃculos breves presentados en estos talleres fueron cuidadosamente revisados ​​y seleccionados entre 72 presentaciones. Los artÃculos presentados en 5G-PINE se centran en las últimas aplicaciones de IA en la industria de las telecomunicaciones y la IA en infraestructuras de telecomunicaciones modernas orientadas a 5G. Los artÃculos seleccionados para AI-BIO 2021 presentan investigaciones sobre el tema de la IA, en su sentido más amplio, en ingenierÃa biomédica e informática de la salud. Los artÃculos de DAAI 2021 tienen como objetivo presentar las evoluciones recientes en inteligencia artificial aplicables a aplicaciones de defensa y seguridad. Los artÃculos seleccionados para DARE 2021 abordan una variedad de temas pertinentes y desafiantes dentro del alcance de la IA distribuida para plataformas con recursos limitados. Los artÃculos presentados en EEAI 2021 tienen como objetivo reunir enfoques interdisciplinarios que se centran en la aplicación de soluciones impulsadas por IA para aumentar y mejorar la eficiencia energética de los edificios residenciales y terciarios y el comportamiento de los ocupantes. Los artÃculos del MHDW se centran en temas como sistemas de recomendación, análisis de sentimientos, reconocimiento de patrones, extracción de datos y series temporales. Nota de contenido: 6th Workshop on "5G – Putting Intelligence to the Network Edge" (5G-PINE 2021) -- 5G Communications as "Enabler" for Smart Power Grids: The Case of the Smart5Grid Project -- 5G-VICTORI: Future Railway Communications Requirements Driving 5G Deployments in Railways -- 5G-VICTORI: Optimizing Media Streaming in Mobile Environments using mmWave, NBMP and 5G Edge Computing -- A Novel Architectural Approach for the Provision of Scalable and Automated Network Slice Management, in 5G and Beyond -- A prototype 5G/IoT implementation for transforming a legacy facility to a Smart Factory -- Advanced first responders' services by using FASTER project Architectural Solution -- High mobility 5G services for vertical industries - network operator's view -- Machine Learning-Based, Networking and Computing Infrastructure Resource Management -- Power Control in 5G Heterogeneous Cells considering User Demands using Deep Reinforcement Learning -- The Challenge of Security Breaches in the Era of 5G Networking.-Top Challenges in 5G Densification -- TYPHON: Hybrid Data Lakes for Real-time Big Data Analytics – An Evaluation Framework in the Telecom Industry -- V2X Communications for the Support of GLOSA and Intelligent Intersection Applications -- Artificial Intelligence in Biomedical Engineering and Informatics Workshop (AI-BIO 2021) -- A Machine Learning Approach for Recognition of Elders' Activities using Passive Sensors -- Analyzing Collective Knowledge towards Public Health Policy Making -- Evaluating mental patients utilizing video analysis of facial expressions -- An inception-based architecture for haemodialysis time series classification -- Workshop on Defense Applications of AI (DAAI 2021) -- A Lipschitz - Shapley Explainable Defense Methodology Against Adversarial Attacks -- A Multimodal AI-leveraged Counter-UAV Framework for Diverse Environments -- Cyber attack detection and trust management toolkit for defence-related microgrids -- On the potential of SDN enabled network deployment in tactical environments -- Distributed AI for Resource - Constrained Platforms Workshop (DARE 2021) -- A first sensitivity study of multi-object multi-camera tracking performance -- An Initial Analysis of the Shortcomings of Conventional AI and the Benefits of Distributed AI Approaches in Industrial Use Cases -- Distributed data compression for edge devices -- PFilter: Privacy-aware and secure data filtering at the edge for distributed edge analytics -- Towards a Distributed Learning Architecture for Securing ISP Home Customers -- Energy Efficiency and Artificial Intelligence Workshop (ΕΕΑΙ 2021) -- A Recommendation Specific Human Activity Recognition Dataset with Mobile Device's Sensor Data -- Explainable needn't be (much) less accurate: evaluating an explainable AI dashboard for energy forecasting -- Improving Energy Efficiency in Tertiary Buildings through user-driven Recommendations delivered on optimal Micro-moments -- Semantic modeling of trustworthy IoT entities in energy-efficient cultural spaces -- Short Term Net Imbalance Volume Forecasting through Machine and Deep Learning: A UK case study -- 10th Mining Humanistic Data Workshop (MHDW 2021) -- Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks -- Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark -- Movie Recommendation System based on Character Graph Embeddings -- Privacy-Preserving Text Labelling Through Crowdsourcing -- Recognition of epidemic cases in social web texts -- Active Bagging Ensemble Selection -- Applying Machine Learning to Predict Whether Learners will Start a MOOC after Initial Registration -- Self-supervised approach for Urban Tree Recognition on Aerial Images -- Visitor behavior analysis for an ancient Greek technology exhibition. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of six International Workshops held as parallel events of the 17th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2021, virtually and in Hersonissos, Crete, Greece, in June 2021: the 6th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2021; Artificial Intelligence in Biomedical Engineering and Informatics Workshop, AI-BIO 2021; Workshop on Defense Applications of AI, DAAI 2021; Distributed AI for Resource-Constrained Platforms Workshop, DARE 2021; Energy Efficiency and Artificial Intelligence Workshop, EEAI 2021; and the 10th Mining Humanistic Data Workshop, MHDW 2021. The 24 full papers and 16 short papers presented at these workshops were carefully reviewed and selected from 72 submissions. The papers presented at 5G-PINE focus on the latest AI applications in the telecommunication industry and AI in modern 5G-oriented telecommunications infrastructures. Thepapers chosen for AI-BIO 2021 present research on the subject of AI, in its broadest sense, in biomedical engineering and health informatics. The DAAI 2021 papers aim at presenting recent evolutions in artificial intelligence applicable to defense and security applications. The papers selected for DARE 2021 address a variety of pertinent and challenging topics within the scope of distributed AI for resource-constrained platforms. The papers presented at EEAI 2021 aim to bring together interdisciplinary approaches that focus on the application of AI-driven solutions for increasing and improving energy efficiency of residential and tertiary buildings and of occupant behavior. The MHDW papers focus on topics such as recommendation systems, sentiment analysis, pattern recognition, data mining, and time series. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Engineering Applications of Neural Networks : 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings Tipo de documento: documento electrónico Autores: MacIntyre, John, ; Iliadis, Lazaros, ; Maglogiannis, Ilias, ; Jayne, Chrisina, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXV, 546 p. 222 ilustraciones, 163 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-20257-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Visión por computador Red de computadoras Inteligencia Computacional Redes de comunicación informática Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 19.ª Conferencia Internacional sobre Aplicaciones de IngenierÃa de Redes Neuronales, EANN 2019, celebrada en Xersonisos, Creta, Grecia, en mayo de 2019. Los 35 artÃculos completos revisados ​​y los 5 artÃculos breves revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados de 72 presentaciones. Los artÃculos están organizados en secciones temáticas sobre IA en la gestión energética: aplicaciones industriales; biomédico - modelado bioinformático; clasificación - aprendizaje; aprendizaje profundo; aprendizaje profundo: ANN convolucional; difuso - vulnerabilidad - modelado de navegación; modelado de aprendizaje automático: optimización; ML - DL modelado financiero; seguridad - detección de anomalÃas; 1er taller de PEINT. Nota de contenido: AI in Energy Management - Industrial Applications -- Biomedical - Bioinformatics Modeling -- Classification - Learning -- Deep Learning -- Deep Learning - Convolutional ANN -- Fuzzy - Vulnerability - Navigation Modeling -- Machine Learning Modeling - Optimization -- ML - DL Financial Modeling -- Security - Anomaly detection -- Pervasive. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Engineering Applications of Neural Networks : 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings [documento electrónico] / MacIntyre, John, ; Iliadis, Lazaros, ; Maglogiannis, Ilias, ; Jayne, Chrisina, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXV, 546 p. 222 ilustraciones, 163 ilustraciones en color.
ISBN : 978-3-030-20257-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Visión por computador Red de computadoras Inteligencia Computacional Redes de comunicación informática Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 19.ª Conferencia Internacional sobre Aplicaciones de IngenierÃa de Redes Neuronales, EANN 2019, celebrada en Xersonisos, Creta, Grecia, en mayo de 2019. Los 35 artÃculos completos revisados ​​y los 5 artÃculos breves revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados de 72 presentaciones. Los artÃculos están organizados en secciones temáticas sobre IA en la gestión energética: aplicaciones industriales; biomédico - modelado bioinformático; clasificación - aprendizaje; aprendizaje profundo; aprendizaje profundo: ANN convolucional; difuso - vulnerabilidad - modelado de navegación; modelado de aprendizaje automático: optimización; ML - DL modelado financiero; seguridad - detección de anomalÃas; 1er taller de PEINT. Nota de contenido: AI in Energy Management - Industrial Applications -- Biomedical - Bioinformatics Modeling -- Classification - Learning -- Deep Learning -- Deep Learning - Convolutional ANN -- Fuzzy - Vulnerability - Navigation Modeling -- Machine Learning Modeling - Optimization -- ML - DL Financial Modeling -- Security - Anomaly detection -- Pervasive. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
