首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Studies from Texas A&M University in the Area of Artificial Intelli gence Described (No Silver Bullet: Artificial Intelligence Is Not a Panacea, but It Works for Fault Analysis and Outage Management)

    75-76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 reportingfrom College Station, Texas, by N ewsRx journalists, research stated, “To facilitate repair of the systemafter fa ults occur or implement appropriate control action to restore the power system’s normal operation,the occurrence of faults is tracked through a variety of reco rding equipment, such as digital fault recorders(DFRs), protective relays, circ uit breaker monitors, sequence-of-events recorders, fault locators, smartmeters , power quality meters, and many other specialized devices; these are often loca ted in substationsor mounted on related power apparatus being monitored. A weal th of data is collected in real time, andadditional descriptions of causes and impacts are recorded by maintenance crews as they inspect the siteswhere faults occurred.”

    Studies from Texas A&M University in the Area of Artificial Intelli gence Described (No Silver Bullet: Artificial Intelligence Is Not a Panacea, but It Works for Fault Analysis and Outage Management)

    75-76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 reportingfrom College Station, Texas, by N ewsRx journalists, research stated, “To facilitate repair of the systemafter fa ults occur or implement appropriate control action to restore the power system’s normal operation,the occurrence of faults is tracked through a variety of reco rding equipment, such as digital fault recorders(DFRs), protective relays, circ uit breaker monitors, sequence-of-events recorders, fault locators, smartmeters , power quality meters, and many other specialized devices; these are often loca ted in substationsor mounted on related power apparatus being monitored. A weal th of data is collected in real time, andadditional descriptions of causes and impacts are recorded by maintenance crews as they inspect the siteswhere faults occurred.”

    New Machine Learning Data Have Been Reported by Researchers at University of Vie nna (Merging holography, fluorescence, and machine learning for in situ continuo us characterization and classification of airborne microplastics)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Vienna, Austria, by NewsRx journalists, research stated, “The continued increase in globalplastic production and poor waste management ensures that plastic pollution will be a se rious environmentalconcern for years to come. Because of their size, shape, and relatively low density, plastic particlesbetween 1 and 1000 m in size (known a s microplastics or MPs) emitted directly into the environment (‘primary’)or cre ated due to degradation (‘secondary’) may be transported through the atmosphere, similarlyto other coarse-mode particles such as mineral dust.”

    New Machine Learning Data Have Been Reported by Researchers at University of Vie nna (Merging holography, fluorescence, and machine learning for in situ continuo us characterization and classification of airborne microplastics)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Vienna, Austria, by NewsRx journalists, research stated, “The continued increase in globalplastic production and poor waste management ensures that plastic pollution will be a se rious environmentalconcern for years to come. Because of their size, shape, and relatively low density, plastic particlesbetween 1 and 1000 m in size (known a s microplastics or MPs) emitted directly into the environment (‘primary’)or cre ated due to degradation (‘secondary’) may be transported through the atmosphere, similarlyto other coarse-mode particles such as mineral dust.”

    University of West Attica Reports Findings in Artificial Intelligence (Predictiv e Performance of Artificial intelligence Models on Heart and Lung Posttransplant Health Outcomes: A Systematic Review)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Athen s, Greece, by NewsRx correspondents, research stated, “The efficacy andcapacity of artificial intelligence models to predict posttransplant health complication s have been disputedover the past few years. In this systematic review, we asse ssed the performance of different artificialintelligence models in predicting h ealth outcomes after heart and lung transplantations.”

    University of West Attica Reports Findings in Artificial Intelligence (Predictiv e Performance of Artificial intelligence Models on Heart and Lung Posttransplant Health Outcomes: A Systematic Review)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Athen s, Greece, by NewsRx correspondents, research stated, “The efficacy andcapacity of artificial intelligence models to predict posttransplant health complication s have been disputedover the past few years. In this systematic review, we asse ssed the performance of different artificialintelligence models in predicting h ealth outcomes after heart and lung transplantations.”

    Reports from Guilin University of Technology Highlight Recent Research in Roboti cs (Design and Performance Analysis of a Parallel Pipeline Robot)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reportingoriginating from Guilin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Aparallel four-legged pipeline robot is designed to mitigate the issue of uneven motor loading on the singleleglinkage responsible for movement along the pipe diameter.”

    Reports from Guilin University of Technology Highlight Recent Research in Roboti cs (Design and Performance Analysis of a Parallel Pipeline Robot)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reportingoriginating from Guilin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Aparallel four-legged pipeline robot is designed to mitigate the issue of uneven motor loading on the singleleglinkage responsible for movement along the pipe diameter.”

    New Machine Learning Findings from Zhengzhou Normal University Outlined (Blockch ain-enabled Federated Learning With Differential Privacy for Internet of Vehicle s)

    79-80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 Zhengzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “The rap id evolution of artificial intelligence (AI) technologies has significantly prop elled the advancementof the Internet of Vehicles (IoV). With AI support, repres ented by machine learning technology,vehicles gain the capability to make intel ligent decisions.”

    New Machine Learning Findings from Zhengzhou Normal University Outlined (Blockch ain-enabled Federated Learning With Differential Privacy for Internet of Vehicle s)

    79-80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 Zhengzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “The rap id evolution of artificial intelligence (AI) technologies has significantly prop elled the advancementof the Internet of Vehicles (IoV). With AI support, repres ented by machine learning technology,vehicles gain the capability to make intel ligent decisions.”