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Titlebook: High Performance Computing and Networking; Select Proceedings o Ch. Satyanarayana,Debasis Samanta,Rajiv Kumar Kapo Conference proceedings 2

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樓主: CT951
31#
發(fā)表于 2025-3-26 22:33:33 | 只看該作者
An Effective DNLP Optimization Method for Economic Load Dispatch Problem,. In this paper, different test systems with 38, 13, 40, 20, 10, and 15 generators are evaluated to address valve point impact, transmission loss, prohibited zone, and ramp rate limits. The results are quite promising, and they outperform various existing optimization techniques.
32#
發(fā)表于 2025-3-27 01:45:57 | 只看該作者
Multi-Perspective Reasoning Using Adaptive Learning,terward select the most appropriate methodology by versatile learning. It does not simply mean joining more than one learning calculations and it is not exchanging two unique techniques. It is tied in with discovering information attributes and suggesting the most suitable strategy. It is a test to
33#
發(fā)表于 2025-3-27 07:22:59 | 只看該作者
Statistical Analysis of Soil Properties Using Non-imaging Spectral Data for Quantitative Analysis o chemical fertilizers treatment applied for banana and cotton crops in the context of surface and subsurface for finding the influence of fertilizers. The soil sample was collected from Raver Tehsil of Jalgaon District of Maharashtra, India. The soil spectra of VNIR region were preprocessed to get p
34#
發(fā)表于 2025-3-27 12:41:56 | 只看該作者
35#
發(fā)表于 2025-3-27 14:48:20 | 只看該作者
36#
發(fā)表于 2025-3-27 20:41:35 | 只看該作者
Sliding Windowed Fuzzy Correlation Analysis-Based Marine Motion Detection,d Sarukhanyan, Int J Inf Model Anal 1:146–156, 2012) that consists of five marine videos along with its ground truth. We qualitatively and quantitatively prove that the proposed method attains better motion detection as compared to other existing methods. The computational complexity involved is Int
37#
發(fā)表于 2025-3-28 01:18:08 | 只看該作者
,Automatic License Plate Recognition for?Distorted Images Using SRGAN,acy of license plate recognition is heavily reliant on segmentation and recognition accuracy. ALPR with SRGAN comprises a super-resolution process in between. Super-resolution aids to improve the performance of the system by recreating detailed variation of the localized image, thus providing better
38#
發(fā)表于 2025-3-28 02:10:28 | 只看該作者
39#
發(fā)表于 2025-3-28 07:26:40 | 只看該作者
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發(fā)表于 2025-3-28 13:14:23 | 只看該作者
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