Titlebook: Intelligent Data Engineering and Analytics; Proceedings of the 1 Vikrant Bhateja,Xin-She Yang,Ranjita Das Conference proceedings 2023 The E

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Weighted Low-Rank and Sparse Matrix Decomposition Models for Separating Background and Foreground iernal body structure over time. For the improved disease diagnosis, Machine Learning (ML) techniques are widely employed for the background and foreground separation in the dynamic MRI. Separation using Neural Networks has several limitations like high processing time and the requirement of a large

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MPA Optimized Model Predictive Controller for Optimal Control of an AVR System,or the enhanced control of the AVR system. Herein, the authors have employed an optimally tuned Model Predictive Controller (MPC) technique and its cost function weights have been calculated using the recent Marine Predators Algorithm. The superiority of transient performance of the controller syste

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Lightweight Privacy Preserving Framework at Edge Layer in IoT,as they lack basic security design. When everyone is using IoT, there are high chances of their personal data getting exposed to the outside world. For real-time application, data need to be processed at the edge layer directly instead of doing the entire processing and analysis at cloud. Privacy pr

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Concept Drift Aware Analysis of Learning Engagement During COVID-19 Pandemic Using Adaptive Windowi cases and abrupt in the others to even constantly incremental in yet other cases like ageing. Machine learning (ML) algorithms, in its simplest definitions, use the statistical analysis of static past data records to make predictions about the future and have reached a fair amount of accuracy on di

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Optimal Power Flow Considering Uncertainty of Renewable Energy Sources Using Meta-Heuristic Algoritng the optimal value of control variables, optimal power flow (OPF) primarily implements an intelligent power flow and enhance the system operating condition. This work suggested a new meta-heuristic method entitled Cross Entropy—Covariance Matrix Adaption Evolutionary Strategy (CE-CMAES). For fast