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    Zhejiang Agriculture & Forestry University Details Findings in Mac hine Learning (Prediction of Holey Graphyne-supported Single Atom Catalyst for N itrogen Reduction Reaction By Interpretable Machine Learning and First-principle s Calculations)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Zhejiang, People’s Republic of China, by NewsRx journalists, research stated, “The electrocatalyticnitrogen r eduction reaction (NRR) with efficient and selective electrocatalysts has emerge d as a promisingalternative for sustainable ammonia synthesis. In this study, w e designed a novel class of singleatomcatalysts (SACs), denoted as TM@HGY, by e mbedding 3d, 4d, and 5d transition metals into synthesizedholey graphyne (HGY), and investigated their potential for NRR using a combined approach of density functional theory (DFT) calculations and machine learning.”

    Zhejiang Agriculture & Forestry University Details Findings in Mac hine Learning (Prediction of Holey Graphyne-supported Single Atom Catalyst for N itrogen Reduction Reaction By Interpretable Machine Learning and First-principle s Calculations)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingfrom Zhejiang, People’s Republic of China, by NewsRx journalists, research stated, “The electrocatalyticnitrogen r eduction reaction (NRR) with efficient and selective electrocatalysts has emerge d as a promisingalternative for sustainable ammonia synthesis. In this study, w e designed a novel class of singleatomcatalysts (SACs), denoted as TM@HGY, by e mbedding 3d, 4d, and 5d transition metals into synthesizedholey graphyne (HGY), and investigated their potential for NRR using a combined approach of density functional theory (DFT) calculations and machine learning.”

    Researcher at Moscow State University of Civil Engineering Zeroes in on Machine Learning (Machine Learning Methods for the Prediction of Wastewater Treatment Ef ficiency and Anomaly Classification with Lack of Historical Data)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on artificial intelligence is now available. According to news reporting out ofMoscow, Russia, by NewsRx editors, research stated, “This study examines an algorithm for collecting anda nalyzing data from wastewater treatment facilities, aimed at addressing regressi on tasks for predictingthe quality of treated wastewater and classification tas ks for preventing emergency situations, specificallyfilamentous bulking of acti vated sludge.”

    Researcher at Moscow State University of Civil Engineering Zeroes in on Machine Learning (Machine Learning Methods for the Prediction of Wastewater Treatment Ef ficiency and Anomaly Classification with Lack of Historical Data)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on artificial intelligence is now available. According to news reporting out ofMoscow, Russia, by NewsRx editors, research stated, “This study examines an algorithm for collecting anda nalyzing data from wastewater treatment facilities, aimed at addressing regressi on tasks for predictingthe quality of treated wastewater and classification tas ks for preventing emergency situations, specificallyfilamentous bulking of acti vated sludge.”

    BioSense Institute Researchers Detail Findings in Artificial Intelligence (Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorit hm)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in artificial intelli gence. According to news originating from Novi Sad, Serbia, by NewsRx editors, t he research stated, “Crop breeders often face challenges due to limited dataava ilability when making crucial decisions, such as selecting top-performing variet ies/hybrids for furtherexperiments, registration, and commercialization.”

    BioSense Institute Researchers Detail Findings in Artificial Intelligence (Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorit hm)

    8-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in artificial intelli gence. According to news originating from Novi Sad, Serbia, by NewsRx editors, t he research stated, “Crop breeders often face challenges due to limited dataava ilability when making crucial decisions, such as selecting top-performing variet ies/hybrids for furtherexperiments, registration, and commercialization.”

    Studies in the Area of Robotics Reported from Qingdao University (Gait Sensors W ith Customized Protruding Structures for Quadruped Robot Applications)

    8-8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 Ro botics. According to news reporting fromQingdao, People’s Republic of China, by NewsRx journalists, research stated, “Stable data acquisition andaccurate reco gnition of motion states are critical for biomimetic robots operating in complex environments.This study proposes flexible gait sensors that can detect pressur e and vibration for quadruped robots.”

    Studies in the Area of Robotics Reported from Qingdao University (Gait Sensors W ith Customized Protruding Structures for Quadruped Robot Applications)

    8-8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 Ro botics. According to news reporting fromQingdao, People’s Republic of China, by NewsRx journalists, research stated, “Stable data acquisition andaccurate reco gnition of motion states are critical for biomimetic robots operating in complex environments.This study proposes flexible gait sensors that can detect pressur e and vibration for quadruped robots.”

    New Findings from China University of Geosciences Beijing in Machine Learning Pr ovides New Insights (Machine Learning Methods for Predicting Co2 Solubility In H ydrocarbons)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The application ofcarbon dioxi de (CO2) in enhanced oil recovery (EOR) has increased significantly, in which CO 2 solubilityin oil is a key parameter in predicting CO2 flooding performance. H ydrocarbons are the major constituentsof oil, thus the focus of this work lies in investigating the solubility of CO2 in hydrocarbons.”

    New Findings from China University of Geosciences Beijing in Machine Learning Pr ovides New Insights (Machine Learning Methods for Predicting Co2 Solubility In H ydrocarbons)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The application ofcarbon dioxi de (CO2) in enhanced oil recovery (EOR) has increased significantly, in which CO 2 solubilityin oil is a key parameter in predicting CO2 flooding performance. H ydrocarbons are the major constituentsof oil, thus the focus of this work lies in investigating the solubility of CO2 in hydrocarbons.”