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Titlebook: Data Intelligence and Cognitive Informatics; Proceedings of ICDIC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings

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樓主: 雜技演員
31#
發(fā)表于 2025-3-26 21:15:42 | 只看該作者
Clustering Aspects of Polarized Beam Studieschieve perfect accuracy. Traditional approaches like building a neural network from scratch or other convolutional models have some limitations. In this work, evaluating the effectiveness of the application of transfer learning while comparing various architectures in Pneumonia identification using
32#
發(fā)表于 2025-3-27 01:17:24 | 只看該作者
Text Generation and Enhanced Evaluation of Metric for Machine Translation,ranslation system is emerged. The synonym issue is not considered by the BLEU metric. A synonym is treated as a separate word. A modified BLEU (M-BLEU) has been developed as evaluation metrics. It includes several features such as replacing synonym and shallow modules of parsing. The final score of
33#
發(fā)表于 2025-3-27 06:41:41 | 只看該作者
34#
發(fā)表于 2025-3-27 12:40:30 | 只看該作者
35#
發(fā)表于 2025-3-27 15:20:27 | 只看該作者
36#
發(fā)表于 2025-3-27 20:40:14 | 只看該作者
A Review on Efficient Scheduling Techniques for Cloud Computing,the main performance indicating parameters such as makespan time, response time, cost, reliability, energy consumption, availability, and resource utilization. Many state-of-the-art scheduling algorithms are proposed in the past to fulfill these requirements. These algorithms are based on heuristic,
37#
發(fā)表于 2025-3-27 23:10:17 | 只看該作者
38#
發(fā)表于 2025-3-28 02:55:10 | 只看該作者
Enhancements on the Efficacy of Firefighting Robots Through Team Allocation and Path-Planning,rative analyses, the best possible option to enhance the efficiency of the fire-extinguishing process has been identified. An enhanced algorithm that can be used to allocate the total number of available robots into teams of different sizes to target different fires is also implemented and validated
39#
發(fā)表于 2025-3-28 06:24:55 | 只看該作者
40#
發(fā)表于 2025-3-28 11:58:49 | 只看該作者
Utilization of Fish Excrete for Plant Growth Using SVM,is noted, and further irrigation process is done. The irrigation system is done eco-friendly, organic and sustainable type of farming. The proposed system will successfully examine the diseases with an accuracy of 89.2%.
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