Titlebook: Soft Computing and Signal Processing; Proceedings of 4th I V. Sivakumar Reddy,V. Kamakshi Prasad,K.T.V. Reddy Conference proceedings 2022 T

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Charge the Missing Data with Synthesized Data by Using SN-Sync Technique, the model was inconsistent or missing, then this might lead to some false predictions. For example, if the model is something related to a healthcare system that needs to predict a patient’s condition over a while, then predictions must be accurate. Here, the accuracy depends on the data we feed to

chisel

Discovery of Popular Languages from GitHub Repository: A Data Mining Approach,zaar” where the project constructors and end-users meet together and search for suitable matches to their skills and requirements. OSS is emerging as a strong competitor to commercial or closed software. GitHub is an OSS forge started in 2008 in order to simplify code sharing. It is a Web site and c

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Performance Analysis of Flower Pollination Algorithms Using Statistical Methods: An Overview,f the same, has been carried out with the help of statistical analysis to a certain degree. Their comparison with other metaheuristic algorithms has also been done; sometimes, with the help of statistical methods and mostly with the help of benchmarking functions. More exploration can be done in thi

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Counterfactual Causal Analysis on Structured Data,derstanding their dynamics can provide deeper understanding of business events. However, finding important causal relations among entities is a daunting task with heavy dependency on data scientists. Also due to fundamental problem of causal inference, it is impossible to directly observe causal eff

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Crime Analysis Using Machine Learning,m the kaggle which belongs to the San Francisco crime dataset. We are finding the model with best accuracy, and performance of all the models is tested by us. Here, the implementation of multiple approaches from machine learning and its comparative analysis is done with the help of the data. We are

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Multi-model Neural Style Transfer (MMNST) for Audio and Image,his specific field has picked up pace amongst various techniques that deal with neural networks and it has emerged as one of the most efficient means of producing style transfer. In order to address the shortcomings in the existing system, multi-model neural style transfer (MMNST) approach for image

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