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Titlebook: Digital Communication and Soft Computing Approaches Towards Sustainable Energy Developments; Proceedings of ISSET Gayadhar Panda,Thaiyal Na

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樓主: CYNIC
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發(fā)表于 2025-3-23 11:29:20 | 只看該作者
Analyzing Customers Buying Behavior Before and After COVID-19 Using Association Rule Mining and Mac the demand and sales of some new items amid this. To effectively manage with such kind of changing economy, variety of products, their layout on shelves, and promoting special promotions, a quick and efficient customer purchasing pattern analysis is required which can help in increasing the revenue
12#
發(fā)表于 2025-3-23 15:30:12 | 只看該作者
13#
發(fā)表于 2025-3-23 18:28:38 | 只看該作者
Profitability Allocation of UAVs and Stopping Points Empowered MEC System,the technology on board, each spacecraft generates a large quantity of data that must be sent to prospective destinations. It is proposed that the well-known Intelligent Ocean Convergence Platform, which currently supports oceanic services, assists these services using cutting-edge Internet of Thing
14#
發(fā)表于 2025-3-23 23:10:32 | 只看該作者
Development of SPV-Assisted E-Mobility Charging System Based on Fuzzy Logic and PI Control as Chargg (MPPT) approach is suggested for using a boost converter derived from a photovoltaic (PV) panel at constant temp. 25?°C and constant irradiance. The constant current (CC) and constant voltage (CV) are two traditional methods for charging a battery. For fast charging with low loss, it is necessary
15#
發(fā)表于 2025-3-24 05:08:24 | 只看該作者
16#
發(fā)表于 2025-3-24 08:59:42 | 只看該作者
,A Comparative Analysis of?Short Term Load Forecasting Using LSTM, CNN, and?Hybrid CNN-LSTM,y comparing the results of three different deep learning models LSTM (Long-Short Term Memory), CNN (Convolutional Neural Network), and Hybrid CNN-LSTM for forecasting the short-term load, and each model is trained using sliding window algorithm and analyzed with statistical parameters like Mean Squa
17#
發(fā)表于 2025-3-24 13:44:56 | 只看該作者
Enhancing Grid Resilience for Improved Power System Reliability,d, also the need to lessen the effects of natural disasters. A sleek transition to a more intelligent grid depends heavily on the conceptualisation, expression, and assessment of the power grid‘s resilience. There have been several attempts to define, gauge, and evaluate smart grid resilience. Both
18#
發(fā)表于 2025-3-24 16:40:03 | 只看該作者
19#
發(fā)表于 2025-3-24 22:09:07 | 只看該作者
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發(fā)表于 2025-3-24 23:19:41 | 只看該作者
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