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    Researchers from Western Sydney University Report Recent Findings in Robotics [A Process Analysis Framework To Adopt Intelligent Robotic Process Automation (Ir pa) In Supply Chains]

    90-91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 originating fromPenrith, Australia, by NewsRx corresp ondents, research stated, “Intelligent Robotic Process Automation(IRPA) combine s Artificial Intelligence (AI) and Robotic Process Automation (RPA) to automate complexunstructured tasks, improve decision-making, and cope with changing scen arios. A process analysisframework for IRPA adoption was developed by identifyi ng key factors through a literature review andsemi-structured expert opinion su rvey.”

    Researchers from Western Sydney University Report Recent Findings in Robotics [A Process Analysis Framework To Adopt Intelligent Robotic Process Automation (Ir pa) In Supply Chains]

    90-91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 originating fromPenrith, Australia, by NewsRx corresp ondents, research stated, “Intelligent Robotic Process Automation(IRPA) combine s Artificial Intelligence (AI) and Robotic Process Automation (RPA) to automate complexunstructured tasks, improve decision-making, and cope with changing scen arios. A process analysisframework for IRPA adoption was developed by identifyi ng key factors through a literature review andsemi-structured expert opinion su rvey.”

    Findings from Jiangsu University Yields New Data on Machine Learning (Machine Le arning Approaches for Enhancing Energy Efficiency and Stability In Parallel Pump ing Systems)

    91-92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 out of Jiangsu, People’s Re public of China, by NewsRx editors, research stated, “Pumps areamong the larges t energy consumers, and there is still significant potential for energy savings of 20-30% in pumping systems. To address the issue of poor modelin g accuracy of traditional approaches inpump systems under extreme conditions, t his study employs a machine learning model combined with animproved swarm intel ligence algorithm to optimize the control strategy of a four-pump parallel syste m.”

    Findings from Jiangsu University Yields New Data on Machine Learning (Machine Le arning Approaches for Enhancing Energy Efficiency and Stability In Parallel Pump ing Systems)

    91-92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 out of Jiangsu, People’s Re public of China, by NewsRx editors, research stated, “Pumps areamong the larges t energy consumers, and there is still significant potential for energy savings of 20-30% in pumping systems. To address the issue of poor modelin g accuracy of traditional approaches inpump systems under extreme conditions, t his study employs a machine learning model combined with animproved swarm intel ligence algorithm to optimize the control strategy of a four-pump parallel syste m.”

    American University of Beirut Researcher Publishes Findings in Artificial Intell igence and Soft Computing (An Unsupervised Anomaly Detection in Electricity Cons umption Using Reinforcement Learning and Time Series Forest Based Framework)

    92-93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 and soft computing is the subject of a new report.According to news reporting from Beirut, Lebanon, by NewsRx journalists, research stated, “Anomalydetectio n (AD) plays a crucial role in time series applications, primarily because time series data isemployed across real-world scenarios. Detecting anomalies poses s ignificant challenges since anomaliestake diverse forms making them hard to pin point accurately.”

    American University of Beirut Researcher Publishes Findings in Artificial Intell igence and Soft Computing (An Unsupervised Anomaly Detection in Electricity Cons umption Using Reinforcement Learning and Time Series Forest Based Framework)

    92-93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 and soft computing is the subject of a new report.According to news reporting from Beirut, Lebanon, by NewsRx journalists, research stated, “Anomalydetectio n (AD) plays a crucial role in time series applications, primarily because time series data isemployed across real-world scenarios. Detecting anomalies poses s ignificant challenges since anomaliestake diverse forms making them hard to pin point accurately.”

    Royal Roads University Reports Findings in Machine Learning (Predicting financia l distress in TSX-listed firms using machine learning algorithms)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news originating fromVictoria, Canada, by NewsRx corre spondents, research stated, “This study investigates the applicationof machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict f inancial distressin companies. Given the critical need for reliable financial h ealth indicators, this research evaluates thepredictive capabilities of various ML techniques on firm-level financial data.”

    Royal Roads University Reports Findings in Machine Learning (Predicting financia l distress in TSX-listed firms using machine learning algorithms)

    93-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news originating fromVictoria, Canada, by NewsRx corre spondents, research stated, “This study investigates the applicationof machine learning (ML) algorithms, a subset of artificial intelligence (AI), to predict f inancial distressin companies. Given the critical need for reliable financial h ealth indicators, this research evaluates thepredictive capabilities of various ML techniques on firm-level financial data.”

    State University of Campinas (UNICAMP) Researcher Discusses Research in Artifici al Intelligence (Microstrip Antenna Design Supported by Generative Adversarial N etworks)

    94-95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 artificial intelligence. According to news originatingfrom Sao Paulo, Brazil, b y NewsRx editors, the research stated, “We report on the effectiveness of usinggenerative neural networks in an antenna design.”

    State University of Campinas (UNICAMP) Researcher Discusses Research in Artifici al Intelligence (Microstrip Antenna Design Supported by Generative Adversarial N etworks)

    94-95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 artificial intelligence. According to news originatingfrom Sao Paulo, Brazil, b y NewsRx editors, the research stated, “We report on the effectiveness of usinggenerative neural networks in an antenna design.”