Handbook of research on deep learning techniques for cloud-based industrial IoT / edited by P. Swarnalatha, and S. Prabu.



Book

Information About

Chapter 1: Applications of deep learning in robotics: Deep Learning in Robotics Mr. Pranav Katte, Computer Science and Engineering, VIT, Vellore Mr. Pranav Arage, Computer Science and Engineering, VIT, Vellore Mr. Satvik Nadkarni, VIT, Vellore Mr. Ramani Selvanambi, VIT University Chapter 2: Content-based Video Retrieval using a Deep Bimodal Fusion Approach Mrs. Megala G, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore Dr. Swarnalatha P*, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore Chapter 3: Insulator Fault Detection From UAV Images With Yolov5 Family Dr. S Venkata Suryanarayana, Information Technology, CVR College of Engineering Mr. Katakam Koushik, Information Technology, CVR College of Engineering Chapter 4: Blockchain-Based Deep Learning Approach for Alzheimer's Disease Classification Mr. Sanjay V, Vellore Institute of Technology , Vellore Dr. Swarnalatha P*, School of Computer Science and Engineering, Vellore Institute of Technology Chapter 5: Applications of Fuzzy Sets and their Generalizations to Assessment Processes Prof. Michael Gr. Voskoglou, Graduate Technological Educational Institute (T.E.I.) of Western Greece. Includes bibliographical references and index.

Title
Handbook of research on deep learning techniques for cloud-based industrial IoT / edited by P. Swarnalatha, and S. Prabu.
Artist
Swarnalatha, P. (Purushotham), 1977- editor.
Subjects
Language
English
Type
Book
Abstract
"Deep Learning Techniques for Cloud-Based Industrial IoT aims to demonstrate how computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based Internet of Things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students"-- Provided by publisher.
Year
2023
Original Publisher(s)
Digital Publisher(s)