首页|Studies from Northeastern University Describe New Findings in Machine Learning ( Vacuum Pressure Swing Adsorption Intensification By Machine Learning: Hydrogen P roduction From Coke Oven Gas)
Studies from Northeastern University Describe New Findings in Machine Learning ( Vacuum Pressure Swing Adsorption Intensification By Machine Learning: Hydrogen P roduction From Coke Oven Gas)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics - Androids. According to news reporting originating from Darmstadt, Germa ny, by NewsRx correspondents, research stated, “Shared dynamics models are impor tant for capturing the complexity and variability inherent in Human-Robot Intera ction (HRI). Therefore, learning such shared dynamics models can enhance coordin ation and adaptability to enable successful reactive interactions with a human p artner.” Financial support for this research came from German Research Foundation (DFG).2024 JUL 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Hydrogen is a vital resource in the fight against climate change, and it has the potenti al to revolutionize the energy sector. Our research focused on optimizing the pr oduction of high -purity hydrogen using coke oven gas (COG), a valuable hydrogen source in the steel industry.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Shenyang, Guangdong Basic and Applied Basic Research Foundation, Ministry of Education, China - 111 Project.
ShenyangPeople's Republic of ChinaAs iaCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic Chemica lsMachine LearningNortheastern University
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