Titlebook: Data Science and Applications; Proceedings of ICDSA Satyasai Jagannath Nanda,Rajendra Prasad Yadav,Muk Conference proceedings 2024 The Edit

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Medical Image Segmentation Using Deep Learning Method,g knowledge from the axial, coronal, and sagittal viewpoints, as an illustration. Brain tumour identification and segmentation using MR imaging are challenging and crucial for the medical community. To enable doctors to select the most appropriate treatments and perhaps save lives, brain tumours sho

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,Enhancing Federated Learning Performance for IoT Anomaly Detection Under Label-Skewed Data,s on a real-world IoT dataset (X-IIoTID). The results demonstrate that this approach shows significant improvements under label-skewed data and its ease of implementation has the potential to make it a promising solution for resource-constrained domains like IoT anomaly detection.

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,Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer nd Grey Wolf Optimization (GWO) techniques are incorporated into these machine learning models. This integration furnishes robust search mechanisms for refining hyperparameters, thus facilitating the discovery of optimal solutions. This iterative tuning process significantly amplifies the models’ cl

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Design and Development of Energy Harvesting System for Wireless Local Area Network, power devices for IoT applications. The RF signals are omni present in various frequencies and energy levels. The ambience RF radiation and wifi signals at 2.45 GHz over wireless local area network is captured by microstrip patch antenna followed by RF to DC convertion to obtain DC energy for real

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