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Advances in Computing and Data Sciences / Singh, Mayank ; Gupta, P. K. ; Tyagi, Vipin ; Flusser, Jan ; Ören, Tuncer ; Valentino, Gianluca
TÃtulo : Advances in Computing and Data Sciences : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / Tipo de documento: documento electrónico Autores: Singh, Mayank, ; Gupta, P. K., ; Tyagi, Vipin, ; Flusser, Jan, ; Ören, Tuncer, ; Valentino, Gianluca, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 520 p. 249 ilustraciones, 172 ilustraciones en color. ISBN/ISSN/DL: 978-981-1566349-- 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: Estructuras de datos (Informática) TeorÃa de la información Red de computadoras Aprendizaje automático Ciencias sociales IngenierÃa Informática Estructuras de datos y teorÃa de la información Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Computadoras y Educación Clasificación: 005.73 Resumen: Este libro constituye las actas posteriores a la 4.ª Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2020, celebrada en La Valeta, Malta, en abril de 2020.* Los 46 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 354 presentaciones. Los artÃculos se centran en temas como informática avanzada, ciencias de datos, principios de organización de sistemas distribuidos, marcos y entornos de desarrollo, verificación y validación de software, complejidad computacional y criptografÃa, teorÃa del aprendizaje automático, teorÃa de bases de datos y representaciones probabilÃsticas. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. Tipo de medio : Computadora Summary : This book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.* The 46 full papers were carefully reviewed and selected from 354 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. * The conference was held virtually due to the COVID-19 pandemic. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / [documento electrónico] / Singh, Mayank, ; Gupta, P. K., ; Tyagi, Vipin, ; Flusser, Jan, ; Ören, Tuncer, ; Valentino, Gianluca, . - 1 ed. . - Singapore [Malasia] : Springer, 2020 . - XIV, 520 p. 249 ilustraciones, 172 ilustraciones en color.
ISBN : 978-981-1566349--
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: Estructuras de datos (Informática) TeorÃa de la información Red de computadoras Aprendizaje automático Ciencias sociales IngenierÃa Informática Estructuras de datos y teorÃa de la información Redes de comunicación informática Aplicación informática en ciencias sociales y del comportamiento. IngenierÃa Informática y Redes Computadoras y Educación Clasificación: 005.73 Resumen: Este libro constituye las actas posteriores a la 4.ª Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2020, celebrada en La Valeta, Malta, en abril de 2020.* Los 46 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 354 presentaciones. Los artÃculos se centran en temas como informática avanzada, ciencias de datos, principios de organización de sistemas distribuidos, marcos y entornos de desarrollo, verificación y validación de software, complejidad computacional y criptografÃa, teorÃa del aprendizaje automático, teorÃa de bases de datos y representaciones probabilÃsticas. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. Tipo de medio : Computadora Summary : This book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.* The 46 full papers were carefully reviewed and selected from 354 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. * The conference was held virtually due to the COVID-19 pandemic. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences / Singh, Mayank ; Tyagi, Vipin ; Gupta, P. K. ; Flusser, Jan ; Ören, Tuncer ; Sonawane, V. R.
TÃtulo : Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part I / Tipo de documento: documento electrónico Autores: Singh, Mayank, ; Tyagi, Vipin, ; Gupta, P. K., ; Flusser, Jan, ; Ören, Tuncer, ; Sonawane, V. R., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XX, 750 p. 403 ilustraciones, 274 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-81462-5 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: Estructuras de datos (Informática) TeorÃa de la información Aprendizaje automático Software de la aplicacion Ciencias sociales Visión por computador Estructuras de datos y teorÃa de la información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Clasificación: 005.73 Resumen: Este libro de dos volúmenes constituye las actas posteriores a la 5.ª Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2021, celebrada en Nashik, India, en abril de 2021.* Los 103 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 781 presentaciones. . Los artÃculos de las Partes I y II se centran en temas como principios de organización de sistemas distribuidos, marcos y entornos de desarrollo, verificación y validación de software, complejidad computacional y criptografÃa, teorÃa del aprendizaje automático, teorÃa de bases de datos, motores de sistemas de gestión de bases de datos con representaciones probabilÃsticas, minerÃa de datos, información. procesamiento de consultas de recuperación, seguridad de bases de datos y almacenamiento, computación ubicua y móvil, metodologÃas de computación paralela y otros. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. Nota de contenido: An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT -- Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach -- Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach -- Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images -- Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN -- Efficient Social Distancing Detection using Object Detection and Triangle Similarity -- Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME) -- Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm -- A Study on Morphological Analyser for Indian Languages : A Literature Perspective -- Cyber Safety Against Social Media Abusing -- Predictive Rood Pattern Search for Efficient Video Compression -- An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers -- Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate -- Live stream processing techniques to assist unmanned, regulated railway crossings -- Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval -- Facial Monitoring Using Gradient Based Approach -- Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets -- Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall -- Automatic Tabla Stroke Source Separation Using Machine Learning -- Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach -- Machine Learning Model Interpretability in NLP and Computer Vision Applications -- Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm -- Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach -- Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network -- Performance Analysis of Channel coding techniques for 5G networks -- An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product -- A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit -- Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network -- Key-Based Decoding for Coded Modulation Schemes in the presence of ISI -- Optimizing the Performance of KNN Classifier for Human Activity Recognition -- Face Recognition with Disguise and makeupVariations Using Image Processing and Machine Learning -- Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image -- Visibility improvement in hazy conditions via a deep learning based image fusion approach -- Performance of Reinforcement Learning Simulation: x86 v/s ARM -- A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm -- Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease -- Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images -- Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning -- Biological Sequence Embedding based Classification for MERS and SARS -- Supply Path Optimization in Video Advertising Landscape -- Stack-based CNN Approach to Covid-19 Detection -- Performance Analysis of Various Classifiers for Social Intimidating Activities Detection -- Technique for Enhancing the efficiency and security of lightweight IoT devices -- Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification using Spectrogram -- Performance Analysis of Machine Learning Techniques in Device Free Localization in Indoor Environment -- D-Leach: An Energy Optimized Deterministic Sub-clustering and Multi-hop Routing Protocol for Wireless Sensor Networks -- Robust Image Watermarking Using Support Vector Machine and Multi-Objective Particle Swarm Optimization -- Generalized Intuitionistic Fuzzy Entropy on IFMARCOS Technique and its Application in Multi-Criteria Decision Making -- Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics -- Rainfall Prediction using Logistic Regression and Support Vector Regression Algorithms -- Collaborative Recommender System (CRS) using optimized SGD - ALS -- Violence Detection from CCTV Footage using Optical Flow and Deep Learning in inconsistent weather and lighting conditions -- Speech based Multiple Emotion Classification model using Deep Learning -- A Legal-Relationship Establishment in Smart Contracts: Ontological Semantics for Programming-Language Development -- Aspect Based Sentiment Analysis - An Incremental Model Learning Approach Using LSTM-RNN -- Cloud based Exon Prediction using Maximum Error Normalized Logarithmic Algorithms -- Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval -- Application of Deep Learning in Classification of Encrypted Images -- Ear Recognition Using Pretrained Convolutional Neural Networks -- An Adaptive Service Placement Framework in Fog Computing Environment -- Efficient Ink Mismatch Detection Using Supervised Approach. Tipo de medio : Computadora Summary : This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. The papers in Part I and II are centered around topics like distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations database management system engines, data mining, information retrieval query processing, database and storage security, ubiquitous and mobile computing, parallel computing methodologies, and others. *The conference was held virtually due to the COVID-19 pandemic. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part I / [documento electrónico] / Singh, Mayank, ; Tyagi, Vipin, ; Gupta, P. K., ; Flusser, Jan, ; Ören, Tuncer, ; Sonawane, V. R., . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 750 p. 403 ilustraciones, 274 ilustraciones en color.
ISBN : 978-3-030-81462-5
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: Estructuras de datos (Informática) TeorÃa de la información Aprendizaje automático Software de la aplicacion Ciencias sociales Visión por computador Estructuras de datos y teorÃa de la información Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Clasificación: 005.73 Resumen: Este libro de dos volúmenes constituye las actas posteriores a la 5.ª Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2021, celebrada en Nashik, India, en abril de 2021.* Los 103 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 781 presentaciones. . Los artÃculos de las Partes I y II se centran en temas como principios de organización de sistemas distribuidos, marcos y entornos de desarrollo, verificación y validación de software, complejidad computacional y criptografÃa, teorÃa del aprendizaje automático, teorÃa de bases de datos, motores de sistemas de gestión de bases de datos con representaciones probabilÃsticas, minerÃa de datos, información. procesamiento de consultas de recuperación, seguridad de bases de datos y almacenamiento, computación ubicua y móvil, metodologÃas de computación paralela y otros. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. Nota de contenido: An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT -- Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach -- Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach -- Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images -- Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN -- Efficient Social Distancing Detection using Object Detection and Triangle Similarity -- Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME) -- Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm -- A Study on Morphological Analyser for Indian Languages : A Literature Perspective -- Cyber Safety Against Social Media Abusing -- Predictive Rood Pattern Search for Efficient Video Compression -- An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers -- Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate -- Live stream processing techniques to assist unmanned, regulated railway crossings -- Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval -- Facial Monitoring Using Gradient Based Approach -- Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets -- Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall -- Automatic Tabla Stroke Source Separation Using Machine Learning -- Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach -- Machine Learning Model Interpretability in NLP and Computer Vision Applications -- Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm -- Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach -- Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network -- Performance Analysis of Channel coding techniques for 5G networks -- An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product -- A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit -- Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network -- Key-Based Decoding for Coded Modulation Schemes in the presence of ISI -- Optimizing the Performance of KNN Classifier for Human Activity Recognition -- Face Recognition with Disguise and makeupVariations Using Image Processing and Machine Learning -- Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image -- Visibility improvement in hazy conditions via a deep learning based image fusion approach -- Performance of Reinforcement Learning Simulation: x86 v/s ARM -- A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm -- Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease -- Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images -- Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning -- Biological Sequence Embedding based Classification for MERS and SARS -- Supply Path Optimization in Video Advertising Landscape -- Stack-based CNN Approach to Covid-19 Detection -- Performance Analysis of Various Classifiers for Social Intimidating Activities Detection -- Technique for Enhancing the efficiency and security of lightweight IoT devices -- Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification using Spectrogram -- Performance Analysis of Machine Learning Techniques in Device Free Localization in Indoor Environment -- D-Leach: An Energy Optimized Deterministic Sub-clustering and Multi-hop Routing Protocol for Wireless Sensor Networks -- Robust Image Watermarking Using Support Vector Machine and Multi-Objective Particle Swarm Optimization -- Generalized Intuitionistic Fuzzy Entropy on IFMARCOS Technique and its Application in Multi-Criteria Decision Making -- Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics -- Rainfall Prediction using Logistic Regression and Support Vector Regression Algorithms -- Collaborative Recommender System (CRS) using optimized SGD - ALS -- Violence Detection from CCTV Footage using Optical Flow and Deep Learning in inconsistent weather and lighting conditions -- Speech based Multiple Emotion Classification model using Deep Learning -- A Legal-Relationship Establishment in Smart Contracts: Ontological Semantics for Programming-Language Development -- Aspect Based Sentiment Analysis - An Incremental Model Learning Approach Using LSTM-RNN -- Cloud based Exon Prediction using Maximum Error Normalized Logarithmic Algorithms -- Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval -- Application of Deep Learning in Classification of Encrypted Images -- Ear Recognition Using Pretrained Convolutional Neural Networks -- An Adaptive Service Placement Framework in Fog Computing Environment -- Efficient Ink Mismatch Detection Using Supervised Approach. Tipo de medio : Computadora Summary : This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. The papers in Part I and II are centered around topics like distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations database management system engines, data mining, information retrieval query processing, database and storage security, ubiquitous and mobile computing, parallel computing methodologies, and others. *The conference was held virtually due to the COVID-19 pandemic. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences / Singh, Mayank ; Tyagi, Vipin ; Gupta, P. K. ; Flusser, Jan ; Ören, Tuncer ; Sonawane, V. R.
TÃtulo : Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II / Tipo de documento: documento electrónico Autores: Singh, Mayank, ; Tyagi, Vipin, ; Gupta, P. K., ; Flusser, Jan, ; Ören, Tuncer, ; Sonawane, V. R., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XX, 426 p. 194 ilustraciones, 153 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-88244-0 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: Estructuras de datos (Informática) TeorÃa de la información Aprendizaje automático Ciencias sociales Software de la aplicacion Gestión de base de datos Estructuras de datos y teorÃa de la información Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento. Aplicaciones informáticas y de sistemas de información Clasificación: 005.73 Resumen: Este libro de dos volúmenes constituye las actas posteriores a la 5.ª Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2021, celebrada en Nashik, India, en abril de 2021.* Los 103 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 781 presentaciones. . La Parte II está dedicada a las ciencias de datos, principios organizativos, tecnologÃas médicas, lingüÃstica computacional, etc. *La conferencia se llevó a cabo virtualmente debido a la pandemia de COVID-19. Nota de contenido: Predicting Seasonal Vaccines and H1N1 Vaccines Using Machine Learning Techniques -- Handling Class Imbalance in Electroencephalography data using Synthetic Minority Oversampling Technique -- Dissemination of Firm's Market Information: Application of Kermack-Mckendrick SIR Model -- Improving Image-based Dialog by Reducing Modality Biases -- Dependency Parser for Hindi using Integer Linear Programming -- Medical Records Management using Distributed Ledger and Storage -- Detection of Depression and Suicidal Ideation on Social Media: An Intrinsic Review -- Frequency Based Feature Extraction Technique for Text Documents in Tamil Language -- An Approach of Devanagari License Plate Detection and Recognition Using Deep Learning -- COMBINE: A pipeline for SQL Generation from Natural Language -- Recognition of Isolated Gestures for Indian Sign Language using Transfer Learning -- A Study of Five Models Based on Non-Clinical Data for the Prediction of Diabetes Onset in Medically Under-Served Populations -- Representation and Visualization of Students' Progress Data through Learning Dashboard -- Denoising of Computed Tomography images for improved performance of medical devices in Biomedical Engineering -- Image Dehazing through Dark Channel Prior and Color Attenuation Prior -- Predicting the Death of Road Accidents in Bangladesh Using Machine Learning Algorithms -- Numerical computation of finite quaternion Mellin transform using a new algorithm -- Predictive Modeling of Tandem Silicon Solar Cell for Calculating Efficiency -- Text Summarization of an Article Extracted from Wikipedia using NLTK Library -- Grapheme to Phoneme Mapping for Tamil Language -- Comparative Study of Physiological Signals from Empatica E4 Wristband for Stress Classification -- An E-Commerce Prototype for Predicting the Product Return phenomenon Using Optimization and Regression Techniques.-Crop Yield Prediction for Indiausing Regression Algorithms -- A Novel Framework for Multimodal Twitter Sentiment Analysis using Feature Learning -- An Iterative Approach Based Reversible Data Hiding with Weight Update for Dual Stego Images -- Lower and Upper Bounds for 'Useful' Renyi Information Rate -- Sign Language Recognition using Convolutional Neural Network -- Prediction of Stock Price for Indian Stock Market: A Comparative Study using LSTM and GRU -- Early Prediction of Cardiovascular Disease among Young Adults through Coronary Artery Calcium Score Technique -- Confidentiality Leakage Analysis of Database-driven Applications -- Comparative learning of on request direction-finding procedures in WSNs -- ECG based Stress Detection in Automobile Drivers using Long Short-Term Memory (LSTM) Network -- Evaluation of soil moisture for estimation of irrigation pattern by using Machine Learning Methods -- Sentiment analysis in online learning environment: A systematic review -- Image Splicing Forgery Detection Techniques: A Review -- A Predictive Model for Classification of Breast Cancer Data Sets -- Impact of COVID-19 on the Health of Elderly Person -- The determinants of visit frequency and buying intention at shopping centers in Vietnam. Tipo de medio : Computadora Summary : This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. Part II is devoted to data sciences, organizing principles, medical technologies, computational linguistics etc. *The conference was held virtually due to the COVID-19 pandemic. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II / [documento electrónico] / Singh, Mayank, ; Tyagi, Vipin, ; Gupta, P. K., ; Flusser, Jan, ; Ören, Tuncer, ; Sonawane, V. R., . - 1 ed. . - [s.l.] : Springer, 2021 . - XX, 426 p. 194 ilustraciones, 153 ilustraciones en color.
ISBN : 978-3-030-88244-0
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: Estructuras de datos (Informática) TeorÃa de la información Aprendizaje automático Ciencias sociales Software de la aplicacion Gestión de base de datos Estructuras de datos y teorÃa de la información Computadoras y Educación Aplicación informática en ciencias sociales y del comportamiento. Aplicaciones informáticas y de sistemas de información Clasificación: 005.73 Resumen: Este libro de dos volúmenes constituye las actas posteriores a la 5.ª Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2021, celebrada en Nashik, India, en abril de 2021.* Los 103 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 781 presentaciones. . La Parte II está dedicada a las ciencias de datos, principios organizativos, tecnologÃas médicas, lingüÃstica computacional, etc. *La conferencia se llevó a cabo virtualmente debido a la pandemia de COVID-19. Nota de contenido: Predicting Seasonal Vaccines and H1N1 Vaccines Using Machine Learning Techniques -- Handling Class Imbalance in Electroencephalography data using Synthetic Minority Oversampling Technique -- Dissemination of Firm's Market Information: Application of Kermack-Mckendrick SIR Model -- Improving Image-based Dialog by Reducing Modality Biases -- Dependency Parser for Hindi using Integer Linear Programming -- Medical Records Management using Distributed Ledger and Storage -- Detection of Depression and Suicidal Ideation on Social Media: An Intrinsic Review -- Frequency Based Feature Extraction Technique for Text Documents in Tamil Language -- An Approach of Devanagari License Plate Detection and Recognition Using Deep Learning -- COMBINE: A pipeline for SQL Generation from Natural Language -- Recognition of Isolated Gestures for Indian Sign Language using Transfer Learning -- A Study of Five Models Based on Non-Clinical Data for the Prediction of Diabetes Onset in Medically Under-Served Populations -- Representation and Visualization of Students' Progress Data through Learning Dashboard -- Denoising of Computed Tomography images for improved performance of medical devices in Biomedical Engineering -- Image Dehazing through Dark Channel Prior and Color Attenuation Prior -- Predicting the Death of Road Accidents in Bangladesh Using Machine Learning Algorithms -- Numerical computation of finite quaternion Mellin transform using a new algorithm -- Predictive Modeling of Tandem Silicon Solar Cell for Calculating Efficiency -- Text Summarization of an Article Extracted from Wikipedia using NLTK Library -- Grapheme to Phoneme Mapping for Tamil Language -- Comparative Study of Physiological Signals from Empatica E4 Wristband for Stress Classification -- An E-Commerce Prototype for Predicting the Product Return phenomenon Using Optimization and Regression Techniques.-Crop Yield Prediction for Indiausing Regression Algorithms -- A Novel Framework for Multimodal Twitter Sentiment Analysis using Feature Learning -- An Iterative Approach Based Reversible Data Hiding with Weight Update for Dual Stego Images -- Lower and Upper Bounds for 'Useful' Renyi Information Rate -- Sign Language Recognition using Convolutional Neural Network -- Prediction of Stock Price for Indian Stock Market: A Comparative Study using LSTM and GRU -- Early Prediction of Cardiovascular Disease among Young Adults through Coronary Artery Calcium Score Technique -- Confidentiality Leakage Analysis of Database-driven Applications -- Comparative learning of on request direction-finding procedures in WSNs -- ECG based Stress Detection in Automobile Drivers using Long Short-Term Memory (LSTM) Network -- Evaluation of soil moisture for estimation of irrigation pattern by using Machine Learning Methods -- Sentiment analysis in online learning environment: A systematic review -- Image Splicing Forgery Detection Techniques: A Review -- A Predictive Model for Classification of Breast Cancer Data Sets -- Impact of COVID-19 on the Health of Elderly Person -- The determinants of visit frequency and buying intention at shopping centers in Vietnam. Tipo de medio : Computadora Summary : This two-volume book constitutes the post-conference proceedings of the 5th International Conference on Advances in Computing and Data Sciences, ICACDS 2021, held in Nashik, India, in April 2021.* The 103 full papers were carefully reviewed and selected from 781 submissions. Part II is devoted to data sciences, organizing principles, medical technologies, computational linguistics etc. *The conference was held virtually due to the COVID-19 pandemic. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences / Singh, Mayank ; Gupta, P.K ; Tyagi, Vipin ; Sharma, Arun ; Ören, Tuncer ; Grosky, William
TÃtulo : Advances in Computing and Data Sciences : First International Conference, ICACDS 2016, Ghaziabad, India, November 11-12, 2016, Revised Selected Papers Tipo de documento: documento electrónico Autores: Singh, Mayank, ; Gupta, P.K, ; Tyagi, Vipin, ; Sharma, Arun, ; Ören, Tuncer, ; Grosky, William, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2017 Número de páginas: XXIV, 638 p. 314 ilustraciones ISBN/ISSN/DL: 978-981-10-5427-3 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 Ciencia de los datos Redes de comunicación informática Clasificación: 005.7 Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2016, celebrada en Ghaziabad, India, en noviembre de 2016. Los 64 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 502 presentaciones. Los artÃculos están organizados en secciones temáticas sobre Computación Avanzada; Comunicaciones; informática; Internet de las Cosas; Ciencias de datos. Nota de contenido: Advanced Computing -- Communications -- Informatics -- Internet of Things -- Data Sciences. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First International Conference on Advances in Computing and Data Sciences, ICACDS 2016, held in Ghaziabad, India, in November 2016. The 64 full papers were carefully reviewed and selected from 502 submissions. The papers are organized in topical sections on Advanced Computing; Communications; Informatics; Internet of Things; Data Sciences. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences : First International Conference, ICACDS 2016, Ghaziabad, India, November 11-12, 2016, Revised Selected Papers [documento electrónico] / Singh, Mayank, ; Gupta, P.K, ; Tyagi, Vipin, ; Sharma, Arun, ; Ören, Tuncer, ; Grosky, William, . - 1 ed. . - Singapore [Malasia] : Springer, 2017 . - XXIV, 638 p. 314 ilustraciones.
ISBN : 978-981-10-5427-3
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 Ciencia de los datos Redes de comunicación informática Clasificación: 005.7 Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2016, celebrada en Ghaziabad, India, en noviembre de 2016. Los 64 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 502 presentaciones. Los artÃculos están organizados en secciones temáticas sobre Computación Avanzada; Comunicaciones; informática; Internet de las Cosas; Ciencias de datos. Nota de contenido: Advanced Computing -- Communications -- Informatics -- Internet of Things -- Data Sciences. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First International Conference on Advances in Computing and Data Sciences, ICACDS 2016, held in Ghaziabad, India, in November 2016. The 64 full papers were carefully reviewed and selected from 502 submissions. The papers are organized in topical sections on Advanced Computing; Communications; Informatics; Internet of Things; Data Sciences. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences / Singh, Mayank ; Gupta, P. K. ; Tyagi, Vipin ; Flusser, Jan ; Ören, Tuncer
TÃtulo : Advances in Computing and Data Sciences : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part I Tipo de documento: documento electrónico Autores: Singh, Mayank, ; Gupta, P. K., ; Tyagi, Vipin, ; Flusser, Jan, ; Ören, Tuncer, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2018 Número de páginas: XXI, 556 p. ISBN/ISSN/DL: 978-981-1318108-- 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: Estructuras de datos (Informática) TeorÃa de la información Red de computadoras Estructuras de datos y teorÃa de la información Redes de comunicación informática Clasificación: 005.73 Resumen: Este conjunto de dos volúmenes (CCIS 905 y CCIS 906) constituye las actas arbitradas de la Segunda Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2018, celebrada en Dehradun, India, en abril de 2018. Los 110 artÃculos completos fueron cuidadosamente revisados ​​y seleccionado entre 598 presentaciones. Los artÃculos se centran en temas como informática avanzada, ciencias de datos, principios de organización de sistemas distribuidos, marcos y entornos de desarrollo, verificación y validación de software, complejidad computacional y criptografÃa, teorÃa del aprendizaje automático, teorÃa de bases de datos y representaciones probabilÃsticas. Tipo de medio : Computadora Summary : This two-volume set (CCIS 905 and CCIS 906) constitutes the refereed proceedings of the Second International Conference on Advances in Computing and Data Sciences, ICACDS 2018, held in Dehradun, India, in April 2018. The 110 full papers were carefully reviewed and selected from 598 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part I [documento electrónico] / Singh, Mayank, ; Gupta, P. K., ; Tyagi, Vipin, ; Flusser, Jan, ; Ören, Tuncer, . - 1 ed. . - Singapore [Malasia] : Springer, 2018 . - XXI, 556 p.
ISBN : 978-981-1318108--
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: Estructuras de datos (Informática) TeorÃa de la información Red de computadoras Estructuras de datos y teorÃa de la información Redes de comunicación informática Clasificación: 005.73 Resumen: Este conjunto de dos volúmenes (CCIS 905 y CCIS 906) constituye las actas arbitradas de la Segunda Conferencia Internacional sobre Avances en Computación y Ciencias de Datos, ICACDS 2018, celebrada en Dehradun, India, en abril de 2018. Los 110 artÃculos completos fueron cuidadosamente revisados ​​y seleccionado entre 598 presentaciones. Los artÃculos se centran en temas como informática avanzada, ciencias de datos, principios de organización de sistemas distribuidos, marcos y entornos de desarrollo, verificación y validación de software, complejidad computacional y criptografÃa, teorÃa del aprendizaje automático, teorÃa de bases de datos y representaciones probabilÃsticas. Tipo de medio : Computadora Summary : This two-volume set (CCIS 905 and CCIS 906) constitutes the refereed proceedings of the Second International Conference on Advances in Computing and Data Sciences, ICACDS 2018, held in Dehradun, India, in April 2018. The 110 full papers were carefully reviewed and selected from 598 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Computing and Data Sciences / Singh, Mayank ; Gupta, P. K. ; Tyagi, Vipin ; Flusser, Jan ; Ören, Tuncer
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