http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (XXXIII, 689 pages 350 illustrations, 296 illustrations in color.)
This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things, and Big Data (ICMIB 2021) held at Indira Gandhi Institute of Technology, Sarang, India, during December 2021. 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 healthcare, sensor networks and social sensing, and statistical analysis of search techniques.
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 Qualitative Assessment 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.
edited by Siba K. Udgata, Srinivas Sethi, Xiao-Zhi Gao.
Lecture Notes in Networks and Systems, 431