首页|New Machine Learning Findings Reported from University of Hull (Hydrogen Product ion From Plastic Waste: a Comprehensive Simulation and Machine Learning Study)
New Machine Learning Findings Reported from University of Hull (Hydrogen Product ion From Plastic Waste: a Comprehensive Simulation and Machine Learning Study)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Kingston upon Hull, Un ited Kingdom, by NewsRx journalists, research stated, “Gasification,a highly ef ficient method, is under extensive investigation due to its potential to convert biomass and plasticwaste into eco-friendly energy sources and valuable fuels. Nevertheless, there exists a gap in comprehensionregarding the integrated therm ochemical process of polystyrene (PS) and polypropylene (PP) and itscapability to produce hydrogen (H-2) fuel.”
Kingston upon HullUnited KingdomEuropeCyborgsElementsEmerging TechnologiesGasesHydrogenInorganic Chemica lsMachine LearningUniversity of Hull
NETL
NSTL
