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    Study Findings from Dongguan University of Technology Broaden Understanding of M achine Learning (Machine Learning Prediction of Dye Adsorption By Hydrochar: Par ameter Optimization and Experimental Validation)

    87-88页
    查看更多>>摘要: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 originating from Dongguan, People’s Republic of China, by NewsRx correspondents, researchstated, “In respo nse to escalating global wastewater issues, particularly from dye contaminants, manystudies have begun using hydrochar to adsorb dye from wastewater. However, the relationship between thepreparation conditions of hydrochar, the properties of hydrochar, experimental conditions, types of dyes,and equilibrium adsorptio n capacity (Q) has not yet been fully explored.”

    Study Findings from Dongguan University of Technology Broaden Understanding of M achine Learning (Machine Learning Prediction of Dye Adsorption By Hydrochar: Par ameter Optimization and Experimental Validation)

    87-88页
    查看更多>>摘要: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 originating from Dongguan, People’s Republic of China, by NewsRx correspondents, researchstated, “In respo nse to escalating global wastewater issues, particularly from dye contaminants, manystudies have begun using hydrochar to adsorb dye from wastewater. However, the relationship between thepreparation conditions of hydrochar, the properties of hydrochar, experimental conditions, types of dyes,and equilibrium adsorptio n capacity (Q) has not yet been fully explored.”

    Findings from University of Aquila in the Area of Machine Learning Reported (Exp loring the Compound Nature of Coastal Flooding By Tropical Cyclones: a Machine L earning Framework)

    88-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from L’Aquila, Italy, by NewsRx correspondents, research stated, “Modeling inundation patternsresulting from compound flooding induced by tropical cyclones presents significant challe nges due to thecomplex interplay of drivers and features affecting inundation m echanisms. This study introduces amachine learning framework designed to optimi ze the prediction of inundation depth by balancing modelperformance, computatio nal costs and efforts for input data retrieval.”

    Findings from University of Aquila in the Area of Machine Learning Reported (Exp loring the Compound Nature of Coastal Flooding By Tropical Cyclones: a Machine L earning Framework)

    88-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating from L’Aquila, Italy, by NewsRx correspondents, research stated, “Modeling inundation patternsresulting from compound flooding induced by tropical cyclones presents significant challe nges due to thecomplex interplay of drivers and features affecting inundation m echanisms. This study introduces amachine learning framework designed to optimi ze the prediction of inundation depth by balancing modelperformance, computatio nal costs and efforts for input data retrieval.”

    Reports from Chulalongkorn University Add New Study Findings to Research in Arti ficial Intelligence (Artificial Intelligence Chatbot as Perceived by Nursing Stu dents: A Qualitative Study)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Bangkok, Thailand , by NewsRx correspondents, research stated, “This study aimed toexplore the pe rspectives of Indonesian nursing students on the utilization of ChatGPT in their learningprocess.”

    Reports from Chulalongkorn University Add New Study Findings to Research in Arti ficial Intelligence (Artificial Intelligence Chatbot as Perceived by Nursing Stu dents: A Qualitative Study)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in artific ial intelligence. According to news reportingoriginating from Bangkok, Thailand , by NewsRx correspondents, research stated, “This study aimed toexplore the pe rspectives of Indonesian nursing students on the utilization of ChatGPT in their learningprocess.”

    Suzhou University Researcher Updates Knowledge of Support Vector Machines (Asses sment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectro scopy and Optimized Support Vector Machine)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on are presented in a new r eport. According to news reporting out of Suzhou, People’s Republic of China, by NewsRx editors, research stated, “Accurate assessment of the agingstate of tra nsformer oil-barrier insulation is crucial for ensuring the safe and reliable op eration of powersystems.”Financial supporters for this research include Anhui Provincial Department of Ed ucation Natural ScienceResearch Key Project; Outstanding Academic And Technical Youths Backbone of Suzhou University; AnhuiProvincial Department of Education Quality Engineering Project; Ph.D. Research Start-up Fund Project;Key Laborator y of Agriculture And Rural Affairs 2023 Open Project; Key Natural Science Resear chProject of Suzhou University; Key Laboratory of Agricultural Sensors, Ministr y of Agriculture And RuralAffairs.

    Suzhou University Researcher Updates Knowledge of Support Vector Machines (Asses sment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectro scopy and Optimized Support Vector Machine)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on are presented in a new r eport. According to news reporting out of Suzhou, People’s Republic of China, by NewsRx editors, research stated, “Accurate assessment of the agingstate of tra nsformer oil-barrier insulation is crucial for ensuring the safe and reliable op eration of powersystems.”Financial supporters for this research include Anhui Provincial Department of Ed ucation Natural ScienceResearch Key Project; Outstanding Academic And Technical Youths Backbone of Suzhou University; AnhuiProvincial Department of Education Quality Engineering Project; Ph.D. Research Start-up Fund Project;Key Laborator y of Agriculture And Rural Affairs 2023 Open Project; Key Natural Science Resear chProject of Suzhou University; Key Laboratory of Agricultural Sensors, Ministr y of Agriculture And RuralAffairs.

    Researchers from Ufa State Petroleum Technological University Describe Findings in Machine Learning (Drivers of Soil Organic Carbon Spatial Distribution In the Southern Ural Mountains: a Machine Learning Approach)

    91-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Ufa, Russia, by NewsRx j ournalists, research stated, “AbstractThis study aims to assessthe relationship s between SOC content and main soil-forming factors and identify key factors exp lainingthe spatial distribution of SOC. The research was conducted in the South ern Ural Mountains throughout420 km from north to south in the Republic of Bash kortostan.”

    Researchers from Ufa State Petroleum Technological University Describe Findings in Machine Learning (Drivers of Soil Organic Carbon Spatial Distribution In the Southern Ural Mountains: a Machine Learning Approach)

    91-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Ufa, Russia, by NewsRx j ournalists, research stated, “AbstractThis study aims to assessthe relationship s between SOC content and main soil-forming factors and identify key factors exp lainingthe spatial distribution of SOC. The research was conducted in the South ern Ural Mountains throughout420 km from north to south in the Republic of Bash kortostan.”