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Titlebook: Computation of Artificial Intelligence and Machine Learning; First International Amit Kumar Bairwa,Varun Tiwari,Thittaporn Ganokrat Confer

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發(fā)表于 2025-3-30 12:18:11 | 只看該作者
,Deep Learning Models for?Building and?Shadow Detection in?Aerial Imagery: A Comparative Study, comparative performance of UNET and DeepLabV3+ models for semantic segmentation. The findings contribute to the understanding of the strengths and weaknesses of these models in building and shadow detection and segmentation in aerial imagery.
52#
發(fā)表于 2025-3-30 14:24:30 | 只看該作者
,Smart Meter Security and?Solutions with?IOT in?India,of prioritizing load shifting to off-peak hours. This approach enables the utilization of the proposed smart tariff, which aims to reduce costs, mitigate power blackouts, and prevent grid failures during non-peak hours, ultimately enhancing the overall network reliability..In this paper, a new proce
53#
發(fā)表于 2025-3-30 18:29:47 | 只看該作者
Optimization of Positioning of Reclosers in the High Voltage Category a Distribution Network of Aliectively from 1.21 to 0.091 and the SAIDI from 7.52 to 0.171 and consequently, a reduction in undistributed energy of 97%. on the two departures and a recovery of undistributed energy of 67.12% over the entire Alibori HTA network (11°19′ North Latitude and 2°55′ East Longitude). Thus, consumers will
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發(fā)表于 2025-3-31 00:42:36 | 只看該作者
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發(fā)表于 2025-3-31 00:56:01 | 只看該作者
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發(fā)表于 2025-3-31 07:44:56 | 只看該作者
Combating Toxicity on the Internet: An Efficient HateSwarm Algorithm for Classifying Hate Speech,e on two benchmark datasets. The proposed algorithm achieves a remarkable classification accuracy of 92% and competes favorably with state-of-the-art models. Experimental results demonstrate that our approach is effective in detecting and preventing hate speech on the internet. This paper presents a
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發(fā)表于 2025-3-31 09:21:45 | 只看該作者
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發(fā)表于 2025-3-31 16:11:13 | 只看該作者
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發(fā)表于 2025-3-31 20:13:52 | 只看該作者
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發(fā)表于 2025-3-31 23:23:29 | 只看該作者
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