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

Media	Bøker Pocketbok (Bok med mykt omslag og limt rygg)
Utgitt	22. september 2022
ISBN13	9780323902779
Utgivere	Elsevier Science & Technology
Antall sider	432
Mål	150 × 220 × 10 mm · 450 g
Språk	Engelsk
Redaktør	Abraham, Ajith (Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, United States)
Redaktør	Dash, Sujata (Department of Computer Application, Maharaja Srirama Chandra BhanjaDeo University (erstwhile North Orissa University), Baripada, Mayurbhanj, Odisha, India)
Redaktør	Garcia-Hernandez, Laura (Associate Professor of Project Engineering, University of Cordoba, Cordoba, Spain)
Redaktør	Pani, Subhendu Kumar (Krupajal Engineering College, Prashanti Vihar, Near CIFA, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, India)