Ajith Abraham
Artificial Intelligence for Neurological Disorders Ajith Abraham

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Artificial Intelligence for Neurological Disorders

Ajith Abraham

Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and Machine Learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks, and image processing methods. Chapters include AI techniques for early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with a broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapies advances.

500 pages, Approx. 100 illustrations (50 in full color); Illustrations, unspecified

メディア	書籍 Paperback Book (ソフトカバーで背表紙を接着した本)
リリース済み	2022年9月22日
ISBN13	9780323902779
出版社	Elsevier Science & Technology
ページ数	432
寸法	150 × 220 × 10 mm · 450 g
言語	英語
編集者	Abraham, Ajith (Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, United States)
編集者	Dash, Sujata (Department of Computer Application, Maharaja Srirama Chandra BhanjaDeo University (erstwhile North Orissa University), Baripada, Mayurbhanj, Odisha, India)
編集者	Garcia-Hernandez, Laura (Associate Professor of Project Engineering, University of Cordoba, Cordoba, Spain)
編集者	Pani, Subhendu Kumar (Krupajal Engineering College, Prashanti Vihar, Near CIFA, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, India)