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Titlebook: Micro-Electronics and Telecommunication Engineering; Proceedings of 3rd I Devendra Kumar Sharma,Valentina Emilia Balas,Korha Conference pro

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41#
發(fā)表于 2025-3-28 15:56:20 | 只看該作者
Economic Load Dispatch Using PSO,erent evolutionary optimization techniques are being used like CSO, PSO, etc. In this paper, PSO has been implemented on MATLAB to minimize the total cost for 3-unit and 6-unit systems and the results are compared with CSO and other evolutionary optimization techniques for different power demands.
42#
發(fā)表于 2025-3-28 22:49:30 | 只看該作者
Performance Analysis of BIPV Solar Panel Under the Effect of External Conditions,aper, the observations under different external conditions are taken which follow the effect of coal, dust, and shading as well as for the normal conditions. The results are then compared and are observed that the performance of BIPV solar panel is low under the effect of external conditions as compared to normal conditions.
43#
發(fā)表于 2025-3-28 22:57:25 | 只看該作者
44#
發(fā)表于 2025-3-29 05:06:27 | 只看該作者
45#
發(fā)表于 2025-3-29 09:52:39 | 只看該作者
An Approach to Automated Spam Detection Using Deep Neural Network and Machine Learning Classifiers,n, support vector machine, .-nearest neighbor, Bayes, etc. Experimental results of this paper show that the proposed deep neural network model is able to outclass all other machine learning models in terms of achieved accuracy score, and na?ve Bayes classifier is the most efficient model with respect to its computation cost.
46#
發(fā)表于 2025-3-29 12:02:42 | 只看該作者
Effective Vibration Damping Using Self-tuning Smart Material,ls are bonded to structure and can be used as actuator as well as sensor. By rigorous variations of . and . values, a RLC circuit is designed, which nullifies the vibrations at the frequency of resonance. It results in 80% of vibration damping as compared to conventional methods.
47#
發(fā)表于 2025-3-29 16:47:19 | 只看該作者
48#
發(fā)表于 2025-3-29 22:27:20 | 只看該作者
The Dataset for Printed Brahmi Word Recognition,th 4 of these classes belong to vowels, 27 classes of consonants, and 139 classes of compound characters. The 170 classes of characters are further divided into training and testing sets; 6,475 images in the training set while 536 images in the testing set.
49#
發(fā)表于 2025-3-30 00:06:29 | 只看該作者
50#
發(fā)表于 2025-3-30 07:37:14 | 只看該作者
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