Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Processing. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences. His career has spanned various prestigious institutions, including the Georgia Institute of Technology in Georgia, USA, where he served as a dedicated researcher. In recognition of his outstanding research contributions, Subasi received the prestigious Queen Effat Award for Excellence in Research in May 2018. His academic journey includes a tenure as a Professor of computer science at Effat University in Jeddah, Saudi Arabia, from 2015 to 2020. Since 2020, he has assumed the role of Professor of medical physics at the Faculty of Medicine, University of Turku in Turku, Finland
Télécharger le livre :  Artificial Intelligence Applications for Brain–Computer  Interfaces

Artificial Intelligence Applications for Brain-Computer Interfaces focuses on the advancements, challenges, and prospects of future technologies involving noninvasive brain-computer interfaces (BCIs). It includes the processing and analysis of multimodal signals,...
Editeur : Academic Press
Parution : 2025-01-10

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162,46

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Télécharger le livre :  Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in bothArtificial Intelligence and Human-Machine Interaction. The book...
Editeur : Academic Press
Parution : 2024-09-18

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162,46

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Télécharger le livre :  Fortschritte in der nicht-invasiven biomedizinischen Signalverarbeitung mit ML

Dieses Buch präsentiert Fortschritte in der biomedizinischen Technologie. IoT und Machine Learning haben neue Ansätze im mobilen Gesundheitswesen ermöglicht, mit Fokus auf kontinuierlicher Überwachung kritischer Gesundheitssituationen. Intelligente Hybridisierung von...
Editeur : Springer Vieweg
Parution : 2024-05-17

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118,31

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Télécharger le livre :  Applications of Artificial Intelligence in Healthcare and Biomedicine

??Applications of Artificial Intelligence in Healthcare and Biomedicine provides ?updated knowledge on the applications of artificial intelligence in medical image analysis. The book starts with an introduction to Artificial Intelligence techniques for Healthcare and...
Editeur : Academic Press
Parution : 2024-03-10

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149,81

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Télécharger le livre :  Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning

This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A...
Editeur : Springer
Parution : 2023-03-01

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200,44

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Télécharger le livre :  Applications of Artificial Intelligence in Medical Imaging

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and...
Editeur : Academic Press
Parution : 2022-11-10

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137,15

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Télécharger le livre :  Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital...
Editeur : Academic Press
Parution : 2020-06-05

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114,99

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Télécharger le livre :  Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in...
Editeur : Academic Press
Parution : 2019-03-16

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138,20

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