Data on Machine Learning Reported by Researchers at Information Engineering Coll ege (Waste-to-energy Poly-generation Scheme for Hydrogen/freshwater/power/ Oxyge n/heating Capacity Production; Optimized By Regression Machine Learning Algorith ms)
Data on Machine Learning Reported by Researchers at Information Engineering Coll ege (Waste-to-energy Poly-generation Scheme for Hydrogen/freshwater/power/ Oxyge n/heating Capacity Production; Optimized By Regression Machine Learning Algorith ms)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting from Yantai, People’s Republic of China, by NewsRx journalists, research stated, “Utilization of machine learning techni ques in the analysis and enhancement of poly-generation energy systems improves their efficiency and sustainability. Also, waste-to-energy systems propose a hop eful answer for both waste management and sustainable energy and water productio n.” Financial support for this research came from King Saud University.
Key words
Yantai/People’s Republic of China/Asia/Algorithms/Chalcogens/Cyborgs/Elements/Emerging Technologies/Gases/Hydro gen/Inorganic Chemicals/Machine Learning/Information Engineering College
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NSTL