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Intelligent Systems: Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023) de Siba K. Udgata

Intelligent Systems: Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data (ICMIB 2023): Lecture Notes in Networks and Systems, cartea 728

Editat de Siba K. Udgata, Srinivas Sethi, Xiao-Zhi Gao
en Limba Engleză Paperback – 7 oct 2023
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.
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Specificații

ISBN-13: 9789819939312
ISBN-10: 9819939313
Pagini: 619
Ilustrații: XIX, 619 p. 413 illus., 286 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.11 kg
Ediția:1st ed. 2024
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

Notă biografică

Prof. Siba Kumar Udgata is Professor in Computer and Information Sciences at University of Hyderabad, India. He has a Ph.D. in Computer Science in the area of mobile computing and wireless communications and also worked as United Nations Fellow and worked in the UNU/IIST, Macau. His research focus is on wireless communication, Wi-Fi sensing, mobile computing, intelligent sensors, sensor network algorithms, Internet of Things, and applications. He was Volume Editor for several Springer LNAI, AISC International Conference proceedings and also Associate Editor and Editorial Board Member of IOS Press KES Journal International Journal of Graphs and Combinatorics. Prof. Udgata has published more than 150 research papers in reputed international journals and conference proceedings. He has worked as Principal Investigator in many Government of India funded research projects mainly for the development of wireless sensor network applications, network security-related applications, and application of swarm intelligence techniques in the cognitive radio network domain.Prof. Srinivas Sethi is Professor and has been actively involved in teaching and research in Computer Science since 1997. He did his Ph.D., in the area of routing algorithms in mobile ad hoc network and is also continuing his work in the wireless sensor network, cognitive radio network, and cloud computing. He is Member of Editorial Board for different journal and Program Committee Member for different international conferences/workshop. Now he is working as Faculty in the Department of Computer Science Engineering and Application at Indira Gandhi Institute of Technology Sarang, India, and has published more than 50 research papers in international journals and conference proceedings. He completed 3 research projects funded by different funding agencies such as DST, AICTE, and DRDO. Now he is continuing with other 3 projects funded by agency such as AICTE and NPIU. Prof. Xiao-Zhi Gao is Full Professor at School of Computing, University of Eastern Finland, Finland. He heads the nature-inspired machine learning research group at UEF. His main research interests are bio-inspired computing, nature-inspired computing, machine learning, soft computing, data mining, and communication networks. He has published more than 400 papers in different international journals and conferences of repute. He has been associated with many international conference as Technical Program Co-chair, Member, and Editorial Board Member also. His recent publications dealing with modeling of infectious diseases and cure rate are very well acclaimed.

Textul de pe ultima copertă

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.

Caracteristici

Discusses the outcomes of ICMIB 2023, held in Sarang, India Presents recent research in the field of machine learning and big data Serves as a reference resource for researchers and practitioners in academia and industry

Cuprins

GKEAE-Group Key Exchange and Authentication with ECC in Internet of Things.- PIDA Regulator For Frequency Limitation of Conventional Power Systems.- Synchronization and its use in Communication Network with Frequency Control.- A Comparative Analysis of Weekly Sales Forecasting using Regression Techniques.- Complex Network Visualization using Javascript: A Review.- A Novel Optimized Revenue Scheme in Finite Capacity SLA Aware Service Model in Fog Computing Environment.- Analysis of COVID-19 Data Through Machine Learning Techniques.- Ubiquitous Healthcare System using Recent ICT.- A Parallel Approach to Partition Based Frequent Pattern Mining Algorithm.- A Novel Task Offloading and Resource Allocation Scheme for Mist Assisted Cloud Computing Environment.- Analysis of Performance Characteristics of Social Wireless Sensor Networks.- Finite Element Analysis of an Optimised Sandwiched Spur Gear Set.- Predicting Missing Links in Gene Regulatory Networks using Network Embeddings: A QualitativeAssessment of Selective Embedding Techniques.- Prediction of Heart Diseases Using Soft Computing Technique.- An Architectural Framework to Manage Heterogeneous Emergencies.- Improving Navigational Parameters During Robot Motion Planning using SOMA Technique.- Review on Automated Detection of Covid-19 from X-Ray Images using Machine Learning.- Design and Analysis of a Biconcave DRA by using Machine Learning Algorithms for 5G Application.- An Approach for The Estimation of Rotor Position of PV Fed Switched Reluctance Motor Using ANFIS.