http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Advanced interdisciplinary applications of deep learning for data science
1 online resource ( xxii, 371 pages) : illustrations (some color).
Advancements in real time emotion detection system using deep neural networks / Sundhararajan VS, G. Nagappan -- Text classification of Persian documents with deep learning / Ramin Aghighi, Hassan Bashiri -- Enhancing digital documents using autoencoders / Omar Taher, Hiba Gohar -- Wind speed prediction at multiple heights for offshore wind turbines using deep learning / Dipankar Dutta -- IoT protocols for healthcare for enhancing connectivity and efficiency in medical systems / Sureshkumar Myilsamy -- DeepRank. A novel rank aggregation method using deep-learning ensembles : application of deep-learning in the rank-aggregation problem / Hanieh Rakhshani, Alireza Abolqasemi, Amir Hosein Keyhanipour -- Deep learning for predictive analytics in environmental and social sciences / Arun Chokkalingam -- Machine learning-enhanced water and air quality monitoring technologies and applications / Varun E, Rajesh L, M Lokeshwari, Ashwini S, Devidas Bhat, Chethan Kumar S -- An optimized approach for real-time license plate detection and tracking using YOLO-NAS and SORT with comparative analysis of YOLO variants / Monica Bhutani, Monica Gupta, Charvi Khanna, Bhavini Bisht, Dhruv Kamshetty, Harshit Bhardwaj -- Brain tumor detection using deep learning algorithms / A. Sharada, V. Divya Raj, Akhila Geddhada -- Healthy Living facilitated by deep learning algorithm / Rajeshri Shinkar -- Advanced image enhancement techniques for small object detection in synthetic aperture radar (SAR) imagery / Zeba Khan, Javed Khan Sheikh, Abdul Rahman -- Deep learning in bioinformatics for revolutionizing genomic data analysis / Sampath Boopath -- A novel facial expression recognition system using convolutional neural network / Aniruddha Kulkarni, Bhuvaneswari Amma N.G.
[edited by] Soly Mathew Biju, Farhad Oroumchian.
Includes bibliographical references and index.