Titlebook: Computational Intelligence in Machine Learning; Proceedings of the 2 Vinit Kumar Gunjan,Amit Kumar,Sri Niwas Singh Conference proceedings 2

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Switching Loss Comparison of a Cascaded Diode-Clamped Inverter with Conventional Multilevel InverteWith respect to number of sources. More number of switches for this inverter is an exceptional snag. In contrary, diode-clamped inverter has high efficiency at fundamental frequency. Though the diode-clamped inverter has poor switching efficiency and expensive, it is the widely used inverter in many

angina-pectoris

An Energy-Efficient Mechanism Using Blockchain Technology for Machine-Type Communication in LTE Netudy on handling the network lifetime of MTC devices owing to deficient energy efficient management. This paper intends to propose optimal cluster head selection (CHS). It is vital to select an optimal node for each cluster. We proposed a whale tri-level update (WTL) approach for selecting the CH. As

殺蟲劑

lattice

Creditee

Secure Software Development Life Cycle: An Approach to Reduce the Risks of Cyber Attacks in Cyber P representation which acts as a digital counterpart for Cyber Physical Systems or processes in real-time and addresses every instance of its total life cycle. Nevertheless, it also has huge prospects even in the conventional and well-developed industries like agriculture, construction, medicine and

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,Social Networks and Time Taken for Adoption of Organic Food Product in Virudhunagar District—An Empunagar district, the researcher has taken the social network as one of the factor in assessing the spreadness of information through social media like Whatsapp, Instagram and likes. By this means, the rate of information passing was calculated and the equation is designed to assess the rate of infor

撫育

Usage of Generative Adversarial Network to Improve Text to Image Synthesis,ption has a wide range of applications, like computer-aided design. In this chapter, a new model called Knowledge Transfer Generative Adversarial Networks (KT GAN) is proposed for an exact synthesis of given image. To enhance the quality of generated image, an Alternate Attention Transfer Mechanism

Granular

Recurrent Neural Network-Based Solar Power Generation Forecasting Model in Comparison with ANN,t all renewable energy system is nature dependent which introduces non-linearity in the system. To forecast nonlinear data machine learning and computation techniques are used. In this work, a memory-based recurrent neural network is developed and compared with a traditional ML model, that is, Artif

CANDY

瑣事

Conference proceedings 2024ts cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML