Amalgam
发表于 2025-3-21 17:09:19
书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620722<br><br> <br><br>书目名称Machine Learning, Advances in Computing, Renewable Energy and Communication读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620722<br><br> <br><br>
定点
发表于 2025-3-21 21:31:47
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声音刺耳
发表于 2025-3-22 02:33:30
Optimal Planning of Green Hybrid Microgrid in Power Industry, simulation environment, to compare and evaluate the most feasible solution based on the cost parameters of the system. The analysis was also carried out to find out the electrical power production and environmental pollutants of different components for the typical Iraqi rural village, i.e., Sakran in district Choman.
不透明性
发表于 2025-3-22 06:33:27
Performance Evaluation of Sliding Mode Control for Underactuated Systems Based on Decoupling Algorih the proposed control scheme demonstrate robust performance in a wide range of operations and disturbances. The system’s stability, accuracy and transient performance measures like peak overshoot and response time improved with increment in the type of control input to the system.
使饥饿
发表于 2025-3-22 11:53:32
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下船
发表于 2025-3-22 14:05:20
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原始
发表于 2025-3-22 18:33:38
Conference proceedings 2022n (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications... .
FECK
发表于 2025-3-23 00:20:14
Performance Evaluation of HHO Optimized Model Predictive Controller for AVR System and Its Comparisent response specifications have been compared with conventional PID and two degrees of freedom (2-DOF) PID controllers. Moreover, the robustness of discussed methodology has been discussed under parameter variation and external disturbance case.
Lucubrate
发表于 2025-3-23 01:30:28
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小丑
发表于 2025-3-23 07:30:13
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