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Titlebook: Recent Trends in Image Processing and Pattern Recognition; 6th International Co KC Santosh,Aaisha Makkar,Ravindra Hegadi Conference proceed

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51#
發(fā)表于 2025-3-30 10:19:34 | 只看該作者
52#
發(fā)表于 2025-3-30 14:38:35 | 只看該作者
Conference proceedings 2024 I:.Artificial intelligence and applied machine learning;?applied image processing and pattern recognition; and?biometrics and applications..Volume II:.Healthcare informatics;?pattern recognition in blockchain, IOT, cyber plus network security, and cryptography..
53#
發(fā)表于 2025-3-30 18:04:35 | 只看該作者
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發(fā)表于 2025-3-30 22:00:45 | 只看該作者
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發(fā)表于 2025-3-31 01:20:06 | 只看該作者
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發(fā)表于 2025-3-31 05:03:00 | 只看該作者
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發(fā)表于 2025-3-31 09:14:05 | 只看該作者
A Review on?Machine Learning Techniques in?IoT-Based Smart Grid ApplicationsThe article critically examines such security challenges and their remedies. The reviews are summarised to provide a succinct image of the practice and prospective future disciplines for industry developments, including existing constraints and feasible remedies, as well as their applicability.
58#
發(fā)表于 2025-3-31 13:33:18 | 只看該作者
Potato Leaf Disease Classification Using Federated Learningcation and contributes to advances in precision agriculture. The framework can be adapted for other crop disease classification tasks, showcasing the potential of distributed learning in agriculture. Overall, our study demonstrates the effectiveness of FL in achieving accurate and scalable disease classification models in potato crops.
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發(fā)表于 2025-3-31 19:34:33 | 只看該作者
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發(fā)表于 2025-3-31 22:45:21 | 只看該作者
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