Artificial intelligence to analyze psychophysical and human lifestyle / / Gunjan Chhabra [et al.] |
Autore | Chhabra Gunjan |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore : , : Springer, , 2023 |
Descrizione fisica | 1 online resource (156 pages) |
Disciplina | 613 |
Altri autori (Persone) |
KumarSunil
GuptaSunil NagpalPooja |
Soggetto topico |
Health - Data processing
Artificial intelligence - Medical applications Artificial intelligence - Psychological aspects Intel·ligència artificial Estils de vida |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-9930-39-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Interaction and Convergence of IoT and AI -- 2. Artificial Intelligence to Understand Human Behaviours and Psychology -- 3. Wireless Body Area Network in Healthcare -- 4. Techniques Used for Behaviors' Analysis Using Deep Learning -- 5. Technology in Food and Nutrition. |
Record Nr. | UNINA-9910746299003321 |
Chhabra Gunjan
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Singapore : , : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence/machine learning in nuclear medicine and hybrid imaging / / Patrick Veit-Haibach, Ken Herrmann (editors) |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (216 pages) |
Disciplina | 610.28563 |
Soggetto topico |
Artificial intelligence - Medical applications
Diagnostic imaging Nuclear medicine Intel·ligència artificial en medicina Diagnòstic per la imatge Medicina nuclear |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-00119-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580165603321 |
Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Augmented intelligence in healthcare : a pragmatic and integrated analysis / / Sushruta Mishra [and three others] |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (503 pages) |
Disciplina | 610.28563 |
Collana | Studies in Computational Intelligence |
Soggetto topico |
Artificial intelligence - Medical applications
Artificial intelligence - Methodology |
ISBN | 981-19-1076-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910564698903321 |
Singapore : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Big data analytics and artificial intelligence against COVID-19 : innovation vision and approach / / Aboul-Ella Hassanien, Nilanjan Dey, Sally Elghamrawy, editors |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XI, 307 p. 169 illus., 130 illus. in color.) |
Disciplina | 610.28563 |
Collana | Studies in Big Data |
Soggetto topico |
Artificial intelligence - Medical applications
Big data |
ISBN | 3-030-55258-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Coronavirus Spreading Forecasts based on Susceptible-Infectious- Recovered and Linear Regression Model -- Virus Graph and COVID-19 Pandemic: A Graph Theory Approach -- Nonparametric Analysis of Tracking Data in the Context of COVID-19 Pandemic -- Visualization and prediction of trends of Covid-19 pandemic during early outbreak in India using DNN and SVR -- The Detection of COVID-19 in CT Medical Images: A Deep Learning Approach -- COVID-19 Data Analysis and Innovative approach in Prediction of Cases -- Detection of COVID-19 using Chest Radiographs with Intelligent Deployment Architecture -- COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor -- Why are Generative Adversarial Networks Vital for Deep Neural Networks? A Case Study on COVID-19 Chest X-Ray Images -- Artificial intelligence against COVID-19: A meta-analysis of current research -- Insights of Artificial Intelligence to Stop Spread of COVID-19 -- AI based Covid19 analysis-A pragmatic approach -- Artificial Intelligence and Psychosocial Support during the COVID-19 Outbreak -- Role of The Accurate Detection of Core Body Temperature in The Early Detection of Coronavirus -- The effect Coronavirus Pendamic on Education into Electronic Multi-Modal Smart Education -- An H2O’s Deep Learning-inspired model based on Big Data analytics for Coronavirus Disease (COVID-19) Diagnosis -- Coronavirus (COVID-19) Classification using Deep Features Fusion and Ranking Technique -- Stacking Deep Learning for Early COVID-19 Vision Diagnosis. |
Record Nr. | UNINA-9910733707903321 |
Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. Federico II | ||
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Biomedical signal and image processing with artificial intelligence / / Chirag Paunwala [and six others] |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2023] |
Descrizione fisica | 1 online resource (423 pages) |
Disciplina | 610.28563 |
Collana | EAI/Springer Innovations in Communication and Computing |
Soggetto topico |
Artificial intelligence - Medical applications
Imaging systems in medicine |
ISBN | 3-031-15816-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Lung Classification for Covid-19 -- Inspection and Test in Hemodialysis arena -- Applications of Artificial Intelligence in Medical Images Analysis -- Parameter efficient Epileptic seizure detection -- Early lung cancer detection by using an artificial intelligence system -- Decision Making Biomedical Support Systems -- Intelligent Image Segmentation Methods using Deep Convolutional Neural Networks -- Early detection of Dyslexia -- Artificial Intelligence Assisted Cardiac Signal Analysis for Heart Disease Prediction -- An optimal model selection for COVID 19 disease classification -- Histopathology Whole-Slide Image Analysis for Breast Cancer Detection -- Analysis and Classification of Impaired Speech -- Imaging technologies for early detection of breast cancer -- VLSI implementation of sEMG based classification for muscle activity control -- An Object Aware Hybrid U-Net for Breast Tumour Annotation -- Guide to scrutinize the analysis tool for biomedical signals -- Real-time COVID-19 Prediction using Chest X-ray and AI -- Classification of Primary Benign and Primary Malignant Focal Liver Lesions in Spatial and NSCT domain -- Ultrasound Image Analysis using AI -- Conclusion. |
Record Nr. | UNINA-9910640377703321 |
Cham, Switzerland : , : Springer International Publishing, , [2023] | ||
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Lo trovi qui: Univ. Federico II | ||
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Brain informatics : 15th international conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings / / Mufti Mahmud [and four others], editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (390 pages) |
Disciplina | 610.28563 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Artificial intelligence - Medical applications
Human information processing Neural networks (Computer science) |
ISBN | 3-031-15037-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910588599703321 |
Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Brain informatics : 15th international conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings / / Mufti Mahmud [and four others], editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (390 pages) |
Disciplina | 610.28563 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Artificial intelligence - Medical applications
Human information processing Neural networks (Computer science) |
ISBN | 3-031-15037-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996485667603316 |
Cham, Switzerland : , : Springer, , [2022] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Brain informatics : 14th international conference, BI 2021, virtual event, September 17-19, 2021 : proceedings / / Mufti Mahmud [and four others] editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (606 pages) |
Disciplina | 006.32 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Neural networks (Computer science)
Human information processing Artificial intelligence - Medical applications |
ISBN | 3-030-86993-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996464425203316 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Brain informatics : 14th international conference, BI 2021, virtual event, September 17-19, 2021 : proceedings / / Mufti Mahmud [and four others] editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (606 pages) |
Disciplina | 006.32 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Neural networks (Computer science)
Human information processing Artificial intelligence - Medical applications |
ISBN | 3-030-86993-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910502647403321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Brain informatics : 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings / / Mufti Mahmud [and three others] (editors) |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XIV, 378 p. 128 illus., 115 illus. in color.) |
Disciplina | 006.32 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Neural networks (Computer science)
Human information processing Artificial intelligence - Medical applications |
ISBN | 3-030-59277-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910427715103321 |
Cham, Switzerland : , : Springer, , [2020] | ||
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Lo trovi qui: Univ. Federico II | ||
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