Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) Udgata, Siba K. editor. edt http://id.loc.gov/vocabulary/relators/edt Sethi, Srinivas. editor. edt http://id.loc.gov/vocabulary/relators/edt Gao, Xiao-Zhi. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XIX, 619 p. 413 illus., 286 illus. in color. online resource. This book features best selected research papers presented at the Third International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2023) held at Indira Gandhi Institute of Technology, Sarang, India, during March 10–12, 2023. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques. edited by Siba K. Udgata, Srinivas Sethi, Xiao-Zhi Gao. Internet of things Machine learning Big data Computational intelligence Internet of Things Machine Learning Big Data Computational Intelligence TK5105.8857 9789819939329 https://doi.org/10.1007/978-981-99-3932-9 https://doi.org/10.1007/978-981-99-3932-9 231006 20251030110821.0 978-981-99-3932-9