Autor Kaiser, M Shamim
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Documentos disponibles escritos por este autor (3)
Hacer una sugerencia Refinar búsqueda14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings / Mahmud, Mufti ; Kaiser, M Shamim ; Vassanelli, Stefano ; Dai, Qionghai ; Zhong, Ning
TÃtulo : 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings Tipo de documento: documento electrónico Autores: Mahmud, Mufti, ; Kaiser, M Shamim, ; Vassanelli, Stefano, ; Dai, Qionghai, ; Zhong, Ning, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XLVII, 570 p. 202 ilustraciones, 170 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-86993-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Software de la aplicacion Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Computadoras y Educación Interfaces de usuario e interacción persona-computadora Imágenes por computadora visión reconocimiento de patrones y gráficos Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este libro constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Informática Cerebral, BI 2021, celebrada en septiembre de 2021. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 49 artÃculos completos y 2 breves, junto con 18 resúmenes, fueron cuidadosamente revisados ​​y seleccionados entre 90 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: fundamentos cognitivos y computacionales de la ciencia del cerebro; investigaciones de sistemas de procesamiento de información humana; análisis, curación y gestión de big data cerebrales; paradigmas informáticos para la investigación del cerebro y la salud mental; e inteligencia cerebro-máquina y computación inspirada en el cerebro. Nota de contenido: Cognitive and Computational Foundations of Brain Science Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram measures -- Motivation to Learn Action-State Representation with Hierarchical Temporal Memory -- The Effect of Expected Revenue Proportion and Social Value Orientation Index on Players' Behavior in Divergent Interest Tacit Coordination Games -- On the Extraction of High-level Visual Features from Lateral Geniculate Nucleus Activity: A Rat Study -- Disfluency as an Indicator of Cognitive-communication Disorder Through Learning Methods -- Bidirected Information Flow in the High-Level Visual Cortex -- A Computational Network Model for Shared Mental Models in Hospital Operation Rooms -- System Level Knowledge Representation For Metacognition in Neuroscience -- Brain connectivity based classification of Meditation expertise -- Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications -- Organization Investigations of Human Information Processing Systems Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters -- Identifying individuals using EEG-based Brain Connectivity Patterns -- A Novel Hybrid Model for Brain Functional Connectivity based on EEG -- ictogram Classification for Semantic Recognition of Emotional Context -- An Artificial Intelligence based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder -- Emotion recognition model based on the word structural representation -- Towards Learning a Joint Representation from Transformer in Multimodal Emotion Recognition -- Virtual Reality for Enhancement of Emotional Mindset -- Study on the Influencing Factors of Short Video Users' Subjective Well-Being -- Brain Big Data Analytics, Curation and Management System Level Knowledge Analysis and Vocabulary Extraction for Neuroscience -- Analysing, Representing and Classifying Neuroscience Questions Using Ontologies -- Gray Movie Identification from Electroencephalography response using Convolutional Neural Network -- Searching for unique neural descriptors of primary colours in EEG signals: a classification study -- Comparison between Active and Passive Attention Using EEG Waves and Deep Neural Network -- An Image-enhance Topic Modeling Method for Neuroimaging Literature -- Frequency Bands Selection for Seizure Classification and Forecasting using NLP, Random Forest and SVM Models -- Using tools for the analysis of the mental activity of programmers -- Informatics Paradigms for Brain and Mental Health Research Explainable Boosting Machine for predicting Alzheimer's disease from MRI Hippocampal Subfields -- A Matlab-based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals -- Organization D3mciAD: Data-Driven Diagnosis of Mild Cognitive Impairment Utilizing Syntactic Images Generation and Neural Nets -- Mental Healthcare Chatbot using Sequence-to-Sequence Learning and BiLSTM -- A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson's Disease Diagnosis -- Towards Autism Subtype Detection through Identification of Discriminatory Factors using Machine Learning Indoor Navigation Support System for Patients with Neurodegenerative Diseases. . En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings [documento electrónico] / Mahmud, Mufti, ; Kaiser, M Shamim, ; Vassanelli, Stefano, ; Dai, Qionghai, ; Zhong, Ning, . - 1 ed. . - [s.l.] : Springer, 2021 . - XLVII, 570 p. 202 ilustraciones, 170 ilustraciones en color.
ISBN : 978-3-030-86993-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Software de la aplicacion Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Computadoras y Educación Interfaces de usuario e interacción persona-computadora Imágenes por computadora visión reconocimiento de patrones y gráficos Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este libro constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Informática Cerebral, BI 2021, celebrada en septiembre de 2021. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 49 artÃculos completos y 2 breves, junto con 18 resúmenes, fueron cuidadosamente revisados ​​y seleccionados entre 90 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: fundamentos cognitivos y computacionales de la ciencia del cerebro; investigaciones de sistemas de procesamiento de información humana; análisis, curación y gestión de big data cerebrales; paradigmas informáticos para la investigación del cerebro y la salud mental; e inteligencia cerebro-máquina y computación inspirada en el cerebro. Nota de contenido: Cognitive and Computational Foundations of Brain Science Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram measures -- Motivation to Learn Action-State Representation with Hierarchical Temporal Memory -- The Effect of Expected Revenue Proportion and Social Value Orientation Index on Players' Behavior in Divergent Interest Tacit Coordination Games -- On the Extraction of High-level Visual Features from Lateral Geniculate Nucleus Activity: A Rat Study -- Disfluency as an Indicator of Cognitive-communication Disorder Through Learning Methods -- Bidirected Information Flow in the High-Level Visual Cortex -- A Computational Network Model for Shared Mental Models in Hospital Operation Rooms -- System Level Knowledge Representation For Metacognition in Neuroscience -- Brain connectivity based classification of Meditation expertise -- Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications -- Organization Investigations of Human Information Processing Systems Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters -- Identifying individuals using EEG-based Brain Connectivity Patterns -- A Novel Hybrid Model for Brain Functional Connectivity based on EEG -- ictogram Classification for Semantic Recognition of Emotional Context -- An Artificial Intelligence based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder -- Emotion recognition model based on the word structural representation -- Towards Learning a Joint Representation from Transformer in Multimodal Emotion Recognition -- Virtual Reality for Enhancement of Emotional Mindset -- Study on the Influencing Factors of Short Video Users' Subjective Well-Being -- Brain Big Data Analytics, Curation and Management System Level Knowledge Analysis and Vocabulary Extraction for Neuroscience -- Analysing, Representing and Classifying Neuroscience Questions Using Ontologies -- Gray Movie Identification from Electroencephalography response using Convolutional Neural Network -- Searching for unique neural descriptors of primary colours in EEG signals: a classification study -- Comparison between Active and Passive Attention Using EEG Waves and Deep Neural Network -- An Image-enhance Topic Modeling Method for Neuroimaging Literature -- Frequency Bands Selection for Seizure Classification and Forecasting using NLP, Random Forest and SVM Models -- Using tools for the analysis of the mental activity of programmers -- Informatics Paradigms for Brain and Mental Health Research Explainable Boosting Machine for predicting Alzheimer's disease from MRI Hippocampal Subfields -- A Matlab-based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals -- Organization D3mciAD: Data-Driven Diagnosis of Mild Cognitive Impairment Utilizing Syntactic Images Generation and Neural Nets -- Mental Healthcare Chatbot using Sequence-to-Sequence Learning and BiLSTM -- A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson's Disease Diagnosis -- Towards Autism Subtype Detection through Identification of Discriminatory Factors using Machine Learning Indoor Navigation Support System for Patients with Neurodegenerative Diseases. . En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : Brain Informatics : 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings Tipo de documento: documento electrónico Autores: Mahmud, Mufti, ; Vassanelli, Stefano, ; Kaiser, M Shamim, ; Zhong, Ning, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 378 p. 128 ilustraciones, 115 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-59277-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Procesamiento de imágenes Visión por computador Software de la aplicacion Imágenes por computadora visión reconocimiento de patrones y gráficos Aplicaciones informáticas y de sistemas de información Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Informática Cerebral, BI 2020, celebrada en Padua, Italia, en septiembre de 2020. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 33 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 57 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: fundamentos cognitivos y computacionales de la ciencia del cerebro; investigaciones de sistemas de procesamiento de información humana; análisis, curación y gestión de big data cerebrales; paradigmas informáticos para la investigación del cerebro y la salud mental; e inteligencia cerebro-máquina y computación inspirada en el cerebro. Nota de contenido: Cognitive and Computational Foundations Of Brain Science -- An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder -- Are We Producing Narci-nials? An Adaptive Agent Model for Parental Influence -- A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data -- The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordination Games -- Effect of the Gamma Entrainment Frequency in Pertinence to Mood, Memory and Cognition -- Investigations of Human Information Processing Systems -- Temporal-Spatial-Spectral Investigation of Brain Network Dynamics in Human Speech Perception -- Precise estimation of Resting State Functional Connectivity Using Empirical Mode Decomposition -- 3D DenseNet Ensemble in 4-Way Classification of Alzheimer's Disease -- Dynamic Functional Connectivity Captures Individuals' Unique Brain Signatures -- Differential Effects of Trait Empathy on Functional Network Centrality -- Classification of PTSD and non-PTSD Using Cortical Structural Measures in Machine Learning Analyses / Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup -- Segmentation of Brain Tumor Tissues in Multi-Channel MRI using Convolutional Neural Networks -- Brain Big Data Analytics, Curation and Management -- Resolving Neuroscience Questions Using Ontologies and Templates -- Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources -- Automatic Detection of Epileptic Waves in Electroencephalograms Using Bag of Visual Words and Machine Learning -- UPDRS Label Assignment by Analyzing Accelerometer Sensor Data Collected from Conventional Smartphones -- Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis -- A Machine Learning Based Fall Detection System for Elderly People with Neurodegenaration Disorders -- Management of Neurodegenarative Diseases using Machine Learning and Internet of Things -- Informatics Paradigms for Brain and Mental Health Research -- A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies -- Deep LSTM Recurrent Neural Network for Anxiety Classification from EEG in Adolescents With Autism -- Improving Alcoholism Diagnosis: Comparing Instance-based Classifiers against Neural Networks for Classifying EEG signal -- A Monitoring System for Patients of Autism Spectrum Disorder using Artificial Intelligence -- Artificial and Internet of Healthcare Things based Alzheimer Care during COVID 19 -- Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder -- Speech emotion recognition in neurological disorders using Convolutional Neural Network -- Towards Improved Detection of Cognitive Performance using Bidirectional Multi layer Long-Short Term Memory Neural Network -- Brain-Machine Intelligence and Brain-Inspired Computing -- Comparative Study of Wet and Dry Systems on EEG-based Cognitive Tasks -- Recall performance improvement in a bio-inspired model of the mammalian hippocampus -- Canonical retina-to-cortex vision model ready for automatic differentiation -- An Optimized Self-Adjusting Model for EEG Data Analysis in Online Education Processes -- Sequence learning in Associative Neuronal-Astrocytic Networks -- EEG based Sleep-Wake Classification using JOPS Algorithm. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i Brain Informatics : 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings [documento electrónico] / Mahmud, Mufti, ; Vassanelli, Stefano, ; Kaiser, M Shamim, ; Zhong, Ning, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 378 p. 128 ilustraciones, 115 ilustraciones en color.
ISBN : 978-3-030-59277-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Procesamiento de imágenes Visión por computador Software de la aplicacion Imágenes por computadora visión reconocimiento de patrones y gráficos Aplicaciones informáticas y de sistemas de información Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Informática Cerebral, BI 2020, celebrada en Padua, Italia, en septiembre de 2020. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 33 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 57 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: fundamentos cognitivos y computacionales de la ciencia del cerebro; investigaciones de sistemas de procesamiento de información humana; análisis, curación y gestión de big data cerebrales; paradigmas informáticos para la investigación del cerebro y la salud mental; e inteligencia cerebro-máquina y computación inspirada en el cerebro. Nota de contenido: Cognitive and Computational Foundations Of Brain Science -- An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder -- Are We Producing Narci-nials? An Adaptive Agent Model for Parental Influence -- A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data -- The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordination Games -- Effect of the Gamma Entrainment Frequency in Pertinence to Mood, Memory and Cognition -- Investigations of Human Information Processing Systems -- Temporal-Spatial-Spectral Investigation of Brain Network Dynamics in Human Speech Perception -- Precise estimation of Resting State Functional Connectivity Using Empirical Mode Decomposition -- 3D DenseNet Ensemble in 4-Way Classification of Alzheimer's Disease -- Dynamic Functional Connectivity Captures Individuals' Unique Brain Signatures -- Differential Effects of Trait Empathy on Functional Network Centrality -- Classification of PTSD and non-PTSD Using Cortical Structural Measures in Machine Learning Analyses / Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup -- Segmentation of Brain Tumor Tissues in Multi-Channel MRI using Convolutional Neural Networks -- Brain Big Data Analytics, Curation and Management -- Resolving Neuroscience Questions Using Ontologies and Templates -- Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources -- Automatic Detection of Epileptic Waves in Electroencephalograms Using Bag of Visual Words and Machine Learning -- UPDRS Label Assignment by Analyzing Accelerometer Sensor Data Collected from Conventional Smartphones -- Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis -- A Machine Learning Based Fall Detection System for Elderly People with Neurodegenaration Disorders -- Management of Neurodegenarative Diseases using Machine Learning and Internet of Things -- Informatics Paradigms for Brain and Mental Health Research -- A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies -- Deep LSTM Recurrent Neural Network for Anxiety Classification from EEG in Adolescents With Autism -- Improving Alcoholism Diagnosis: Comparing Instance-based Classifiers against Neural Networks for Classifying EEG signal -- A Monitoring System for Patients of Autism Spectrum Disorder using Artificial Intelligence -- Artificial and Internet of Healthcare Things based Alzheimer Care during COVID 19 -- Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder -- Speech emotion recognition in neurological disorders using Convolutional Neural Network -- Towards Improved Detection of Cognitive Performance using Bidirectional Multi layer Long-Short Term Memory Neural Network -- Brain-Machine Intelligence and Brain-Inspired Computing -- Comparative Study of Wet and Dry Systems on EEG-based Cognitive Tasks -- Recall performance improvement in a bio-inspired model of the mammalian hippocampus -- Canonical retina-to-cortex vision model ready for automatic differentiation -- An Optimized Self-Adjusting Model for EEG Data Analysis in Online Education Processes -- Sequence learning in Associative Neuronal-Astrocytic Networks -- EEG based Sleep-Wake Classification using JOPS Algorithm. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
TÃtulo : First International Conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings Tipo de documento: documento electrónico Autores: Mahmud, Mufti, ; Kaiser, M Shamim, ; Kasabov, Nikola, ; Iftekharuddin, Khan, ; Zhong, Ning, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIV, 402 p. 170 ilustraciones, 145 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82269-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial IngenierÃa Informática Red de computadoras Ciencias sociales Procesamiento de imágenes Visión por computador IngenierÃa Informática y Redes Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Imágenes por computadora visión reconocimiento de patrones y gráficos Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Inteligencia Aplicada e Informática, AII 2021, celebrada en Nottingham, Reino Unido, en julio de 2021. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma totalmente virtual. Los 26 artÃculos completos y 4 artÃculos breves presentados fueron revisados ​​minuciosamente y seleccionados del total de 107 presentaciones. Están organizados en las siguientes secciones temáticas: aplicación de la IA y la informática en la detección de enfermedades; aplicación de la IA y la informática en la asistencia sanitaria; aplicación de IA e informática al reconocimiento de patrones; aplicación de IA e informática en redes, seguridad y análisis; Aplicaciones emergentes de la IA y la informática. Nota de contenido: Application of AI and Informatics in Disease Detection -- Application of AI and Informatics in Healthcare -- Application of AI and Informatics in Pattern Recognition -- Application of AI and Informatics in Network, Security,and Analytics -- Emerging Applications of AI and Informatics. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i First International Conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings [documento electrónico] / Mahmud, Mufti, ; Kaiser, M Shamim, ; Kasabov, Nikola, ; Iftekharuddin, Khan, ; Zhong, Ning, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIV, 402 p. 170 ilustraciones, 145 ilustraciones en color.
ISBN : 978-3-030-82269-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial IngenierÃa Informática Red de computadoras Ciencias sociales Procesamiento de imágenes Visión por computador IngenierÃa Informática y Redes Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Imágenes por computadora visión reconocimiento de patrones y gráficos Ãndice Dewey: 006.3 Inteligencia artificial Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Inteligencia Aplicada e Informática, AII 2021, celebrada en Nottingham, Reino Unido, en julio de 2021. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma totalmente virtual. Los 26 artÃculos completos y 4 artÃculos breves presentados fueron revisados ​​minuciosamente y seleccionados del total de 107 presentaciones. Están organizados en las siguientes secciones temáticas: aplicación de la IA y la informática en la detección de enfermedades; aplicación de la IA y la informática en la asistencia sanitaria; aplicación de IA e informática al reconocimiento de patrones; aplicación de IA e informática en redes, seguridad y análisis; Aplicaciones emergentes de la IA y la informática. Nota de contenido: Application of AI and Informatics in Disease Detection -- Application of AI and Informatics in Healthcare -- Application of AI and Informatics in Pattern Recognition -- Application of AI and Informatics in Network, Security,and Analytics -- Emerging Applications of AI and Informatics. En lÃnea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
