Titlebook: Soft Computing: Theories and Applications; Proceedings of SoCTA Rajesh Kumar,Chang Wook Ahn,Anand Agarwal Conference proceedings 2022 The E

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Conference proceedings 2022ft Computing: Theories and Applications (SoCTA 2021), organized online. The book offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

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Sentimental Analysis to Predict Women Violence in India Using Machine Learning,overnment and NGO services. In this research paper, we proposed a new system that uses an SVM algorithm to analyze the proper guidelines for unsafe methods to reach health environments based on analyzing the tweets by checking the intelligent way.

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A Meta-heuristic Learning Approach for Short-term Price Forecasting,COA), fruit fly optimization (FFOA), and particle swarm optimization (PSO). The performance of the hybrid models is evaluated on the New Pool, England dataset to predict the short-term electricity price. Results show that the FTL-ANN algorithm outperforms the other algorithms, including traditional ANN architecture.

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Comparison of Neural Network-Based Soft Computing Techniques for Electromagnetic Modeling of a Micrand disadvantages. For example, it is observed that reduced radial bias network is the most accurate network and scaled conjugate gradient is the most reliable algorithm for electromagnetic modeling. This paper will help a researcher find the optimum network and algorithm directly without doing time-taking experimentation.

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