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Ajith Abraham & Sujata Dash 
Artificial Intelligence for Neurological Disorders 

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Couverture du Ajith Abraham & Sujata Dash: Artificial Intelligence for Neurological Disorders (ePUB)
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 the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, f MRI, f NIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with 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 therapy advances. Discusses various AI and ML methods to apply for neurological research Explores Deep Learning techniques for brain MRI images Covers AI techniques for the early detection of neurological diseases and seizure prediction Examines cognitive therapies using AI and Deep Learning methods
€193.25
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Langue Anglais ● Format EPUB ● Pages 432 ● ISBN 9780323902786 ● Éditeur Ajith Abraham & Sujata Dash ● Maison d’édition Elsevier Science ● Publié 2022 ● Téléchargeable 3 fois ● Devise EUR ● ID 8654986 ● Protection contre la copie Adobe DRM
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