Titlebook: Intelligent Computing Techniques for Smart Energy Systems; Proceedings of ICTSE Anshuman Tripathi,Amit Soni,Jagrati Sahariya Conference pro

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Image Processing Using Elephant Herding Optimization: A Review,herding optimization (EHO) is most preferably used as its application in image segmentation due to its high accuracy, efficient and optimized output, optimal to high speed, excellent performance, and ability of solve multi-objective optimization problems. This paper presents a review of various arti

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A Review on IoT-Based Efficient Energy Management System for Smart Homes,smart devices which will be incorporated into smart homes and effectively take an interest in power market through demand response (DR) programs for efficient management of electrical energy to fulfill this expanding energy need. In terms of cost of electricity, energy consumption, and peak average

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Investigation of Timing Issues of True Single-Phase Clock Circuits for Nanodevices,f the important factors to be dealt with. With the reduction in chip area need of low power circuits increased, these circuits would consume less dynamic power. Static CMOS logic implementation is a widely used technology for VLSI circuits as it offers high noise immunity and low static power consum

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Comparative Analysis of Machine Learning Techniques for Software Effort Estimation,ccessful completion of project. The accuracy of estimation controls the project success. This paper conducts an empirical comparison among the most popular machine learning techniques for SEE to figure out the most accurate one. Three models namely ANN_SG, SVR_SG, and GLR_SG are developed using arti

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Microgrid Energy Management Strategy for Low Dynamics Load Applications Using Simulink,ctrolyzer system. Rule-based energy management strategy is designed to meet efficiently the slow varying residential load demand of rural households within the individual source limits. Simulation is carried out using MATLAB. Simulation results show that the developed energy management strategy is a

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Comparative Analysis of Traditional and Cloud-Based Disaster Recovery Methods,tion due to a cyber-attack or a natural calamity like a flood and fire. In addition, these plans should achieve target recovery requirements of recovery time. Earlier disaster recovery was done via storing backups at a data center. However, this required the organization to maintain every aspect of