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Artificial Intelligence for Neurological Disorders Ajith Abraham
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 22. septembris |
| ISBN13 | 9780323902779 |
| Izdevēji | Elsevier Science & Technology |
| Lapas | 432 |
| Izmēri | 150 × 220 × 10 mm · 450 g |
| Valoda | Angļu |
| Redaktors | Abraham, Ajith (Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, WA, United States) |
| Redaktors | Dash, Sujata (Department of Computer Application, Maharaja Srirama Chandra BhanjaDeo University (erstwhile North Orissa University), Baripada, Mayurbhanj, Odisha, India) |
| Redaktors | Garcia-Hernandez, Laura (Associate Professor of Project Engineering, University of Cordoba, Cordoba, Spain) |
| Redaktors | Pani, Subhendu Kumar (Krupajal Engineering College, Prashanti Vihar, Near CIFA, Kausalya Ganga, Bhubaneswar, Khordha, Odisha, India) |
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