Robotics & Machine Learning Daily News2024,Issue(Jul.11) :53-54.

Studies from East China University of Technology Describe New Findings in Machin e Learning (Statistical Pathways To Low-carbon Cities: Analyzing Renewable Integ ration, Energy-efficient Design, and Job Creation)

Robotics & Machine Learning Daily News2024,Issue(Jul.11) :53-54.

Studies from East China University of Technology Describe New Findings in Machin e Learning (Statistical Pathways To Low-carbon Cities: Analyzing Renewable Integ ration, Energy-efficient Design, and Job Creation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting originatingfrom Nanchang, People’s Republic of Chi na, by NewsRx correspondents, research stated, “To address theexisting gap in u nderstanding the intricate dynamics of resource management in Cloud Fog Computing (CFC)-driven Smart Grids (SG), this study introduces an innovative adaptive fr amework integratingGenetic Optimization Algorithm (GOA) and Cuckoo Search Optim ization Algorithm (CSOA), aiming tooptimize response times and enhance overall efficiency. In the domain of contemporary energy grids, theimplementation of in telligent grids (IG) has ushered in a new era of dependable, streamlined, ecofri endly,and economically viable electric services.”

Key words

Nanchang/People’s Republic of China/As ia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/East China Uni versity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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