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Titlebook: Machine Learning and Computational Intelligence Techniques for Data Engineering; Proceedings of the 4 Pradeep Singh,Deepak Singh,Sanjay Mis

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Portfolio Selection Using Golden Eagle Optimizer in Bombay Stock Exchange,ve weed optimization (IWO) on S&P BSE dataset (30 stocks) of Indian stock exchange. Study shows the better performance of the proposed GEO based solution approach among its peer methods on account of execution time, and obtained optimal solutions on efficient frontiers.
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Precise Stratification of Gastritis Associated Risk Factors by Handling Outliers with Feature Selecin the biological data. The dataset contains 21 lifestyle-dietary features that are possible risk factors for pathogen-associated gastritis disease. The Proposed Multilayer Perceptron Model (PMPM) showed highest accuracy of 92% on outliers replaced by median values + feature selection.
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Brain Tumor Segmentation Using Deep Neural Networks: A Comparative Study,inally, the study compared the Cascaded and the U-net performance based on F1 score and Dice loss. It was concluded that the U-net architecture performed better than Cascading architecture and delivered a more precise boundary for the target tumor in an MRI scan.
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Comparative Study of Loss Functions for Imbalanced Dataset of Online Reviews,al cross-entropy loss function, widely used in the evaluation. The final comparison between the two-loss functions will help determine whether the change of loss function can create how much difference in the model performance.
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Conference proceedings 2023 book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes
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