Machine Learning and IoT: A Biological Perspective
Editat de Shampa Sen, Leonid Datta, Sayak Mitraen Limba Engleză Hardback – 3 iul 2018
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Specificații
ISBN-13: 9781138492691
ISBN-10: 1138492698
Pagini: 374
Ilustrații: 134
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.29 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1138492698
Pagini: 374
Ilustrații: 134
Dimensiuni: 156 x 234 x 27 mm
Greutate: 0.29 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Cuprins
Machine Learning: A Powerful Tool for Biologists. Mining and Analysis of Bioprocess Data. Data Mining in Nutrigenomics. Machine Learning in Metabolic Engineering. Big Data and Transcriptomics. Comparative Study of Predictive Models In Microbial Induced Corrosion. Application of Data Mining Techniques In Autoimmune Diseases Research and Treatment. Data Mining Techniques in Imaging of Embryogenesis. Machine Learning Approach to Overcome The Challenges In Theranostics: A Review. Emotion Detection System. Segmentation and Clinical Outcome Prediction In Brain Lesions. Machine Learning based Hospital-acquired Infection Control System. No Human Doctor: Learning of the Machine. The IoT Revolution. Healthcare IoT (H-IoT): Applications and Ethical Concerns. Brain Computer Interface. IoT-Based Wearable Medical Devices. People with Disabilities: Helping Hand of IoT. Smart Analytical Lab. Crop and animal farming IoT (CAF-IoT)
Descriere
This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.