UID:
almafu_9959768549702883
Format:
1 online resource (XI, 122 p. 45 illus., 27 illus. in color.)
Edition:
1st ed. 2021.
ISBN:
981-15-8469-9
Series Statement:
Studies in Computational Intelligence, 921
Content:
This book gathers the latest quality research work of Ph.D. students working on the current areas presented in the Doctoral Symposium on Computational Intelligence (DoSCI 2020). The book includes works in the areas of artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making. The book is useful for researchers, students, engineers, practitioners and academicians in their advance studies.
Note:
Onto-Semantic Indian Tourism Information Retrieval System -- An Efficient Link Prediction Model Using Supervised Machine Learning -- Optimizing Cost and Maximizing Profit for Multi Cloud-Based Big Data Computing by Deadline Aware Optimize Resource Allocation -- A Comprehensive Survey on Passive Video Forgery Detection Techniques -- DDOS Detection using Machine Learning Technique -- Enhancements in Performance of Reduced Order Modelling of Large Scale Control Systems -- Solution to Unit Commitment Problem: Modified hGADE Algorithm -- In silico modeling and screening studies of PfRAMA protein: Implications in malaria -- IBRP: An Infrastructure Based Routing Protocol Using Static Clusters in Urban VANETs.
Additional Edition:
ISBN 981-15-8468-0
Language:
English
DOI:
10.1007/978-981-15-8469-5
