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Titlebook: Emerging Trends in Data Driven Computing and Communications; Proceedings of DDCIo Rajeev Mathur,C. P. Gupta,Neha Yadav Conference proceedin

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樓主: HBA1C
21#
發(fā)表于 2025-3-25 03:30:53 | 只看該作者
22#
發(fā)表于 2025-3-25 07:58:45 | 只看該作者
https://doi.org/10.1007/978-3-030-53370-0r the diabetes UCI dataset are calculated by these ensemble methods. Different learning strategies assist physicians and clinicians in the early prediction of diabetes in the prepared outcomes. After all the observation, we find the final effects of the AdaBoostM1 Ensemble process contained 98% accuracy.
23#
發(fā)表于 2025-3-25 13:34:48 | 只看該作者
Application of Machine Learning Algorithms in Agriculture: An Analysis, has emerged alongside big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in agricultural operational environments. This paper reviews the exiting techniques and methods of machine learning applicable in the agriculture sector.
24#
發(fā)表于 2025-3-25 17:35:15 | 只看該作者
Combined DCT-DWT Color Image Digital Watermarking Technique,e Red color (or R-channel) component of the color image for embedding the watermark. Once completing the embedding process, DCT technique is applied to 8X8 block of the color image. The results of proposed algorithm strongly maintain image quality and also it is sufficient for general image processing tasks.
25#
發(fā)表于 2025-3-25 21:27:49 | 只看該作者
26#
發(fā)表于 2025-3-26 02:12:30 | 只看該作者
27#
發(fā)表于 2025-3-26 04:27:12 | 只看該作者
28#
發(fā)表于 2025-3-26 09:09:36 | 只看該作者
29#
發(fā)表于 2025-3-26 15:25:49 | 只看該作者
30#
發(fā)表于 2025-3-26 18:06:33 | 只看該作者
A Theoretical Approach to Reinforcement Learning Algorithm and Nash Equilibrium to Maximize the Scold be best technique for training the agent. It will learn fromas much as it plays, such that our agent can play and win the game with different persons with their differentplaying strategy they use for Scrabble game. To do this, our agents need to find out about other players‘ strategies and win every time they play against the human.
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