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    Study Findings on Support Vector Machines Described by a Researcher at School of Management (Optimisation Analysis of Enterprise Environmental Cost Accounting B ased on Support Vector Machine Model)

    87-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on have been publish ed. According to news originating from Henan, People’s Republic of China, by New sRx correspondents, research stated, “Environmental cost accounting, as a develo ping field, has been implemented in enterprises for only a brief duration, revea ling several areas necessitating enhancements.”

    Investigators at CICESE Research Center Detail Findings in Robotics (A Theoretic al Conversion of Torque Controllers for Handling a Position Servo-actuated Robot Manipulator Model)

    88-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting originating in Ensenada, Mexi co, by NewsRx journalists, research stated, “Traditional robot control theory as sumes implicitly that robot manipulators are equipped with ideal torque actuator s (i.e., torque-driven robots). However, it is important to note that both indus trial robots and economical didactic ones do not typically feature such torque a ctuators.”

    Beijing Technology and Business University Researchers Have Published New Study Findings on Food Safety (Regulation and Analysis of Food Safety Based on Machine Learning)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on food safety h ave been published. According to news reporting originating from Beijing, People ’s Republic of China, by NewsRx correspondents, research stated, “Food is the to p priority for the people, and safety is the top priority for food.”

    Researchers from Optum Inc. Report Findings in Machine Learning (Designing Equit able Health Care Outreach Programs From Machine Learning Patient Risk Scores)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating from Minnetonka, Minnesota, b y NewsRx correspondents, research stated, “There is growing interest in ensuring equity and guarding against bias in the use of risk scores produced by machine learning and artificial intelligence models. Risk scores are used to select pati ents who will receive outreach and support.”

    Julius-Maximilians University Researchers Add New Findings in the Area of Artifi cial Intelligence (Empower the user - The impact of functional understanding tra ining on usage, social perception, and self-determined interactions with intelli gent ...)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting originating from W uerzburg, Germany, by NewsRx correspondents, research stated, “Intelligent voice assistants (IVAs) such as Alexa or Siri are voice-based AI systems that support users in various tasks with simple voice commands, making everyday life easier. However, users tend to have only a superficial understanding of the technologic al functionality of IVAs, leading to misconceptions and usage risks.”

    Studies from University of Douala Describe New Findings in Machine Learning (Enh ancement of Energy and Cost Efficiency In Wastewater Treatment Plants Using Hybr id Bio-inspired Machine Learning Control Techniques)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting originating in Douala, Cameroon, by News Rx journalists, research stated, “Global population growth drives demand for cle an water, energy, and wastewater production in urban areas. Most existing wastew ater treatment plants (WWTPs) are energy- and cost-intensive.”

    Findings from Shanghai Jiao Tong University Provides New Data about Robotics (Dy namic Modeling for Continuous Locomotion of Bionic Soft Worm-like Robot)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “In the nature, worm-like robot can bend it s slender body into an arch bridge when it moves, and it will move quickly in th is deformation mode to nimbly escape from enemies once encountering danger. Insp ired by this locomotion mechanism, a plenty of bionic soft worm-like robots have been devised and studied adopting quasistatic method.”

    Study Findings from University of Shanghai for Science and Technology Update Kno wledge in Robotics (A novel joint depth sensor calibration method without fixtur e for mobile robots’ navigation)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ro botics. According to news reporting originating from the University of Shanghai for Science and Technology by NewsRx correspondents, research stated, “Commercia l mobile robots are usually equipped with multiple depth sensors that can measur e the point cloud information around the robot’s environment.”

    Researchers’ Work from Xi’an Jiaotong Liverpool University Focuses on Intelligen t Systems (Decentralized Multi-agent Cooperation Via Adaptive Partner Modeling)

    94-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning - In telligent Systems have been presented. According to news reporting originating i n Jiangsu, People’s Republic of China, by NewsRx journalists, research stated, “ Multi-agent reinforcement learning encounters a non-stationary challenge, where agents concurrently update their policies, leading to changes in the environment . Existing approaches have tackled this challenge through communication among ag ents to obtain their partners’ actions, but this introduces computational comple xity known as partner sample complexity.”

    Findings from Stanford University in the Area of Machine Learning Reported (Making the Most of Ai and Machine Learning In Organizations and Strategy Research: Supervised Machine Learning, Causal Inference, and Matching Models)

    95-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Stanford, California , by NewsRx correspondents, research stated, “We spotlight the use of machine le arning in two-stage matching models to deal with sample selection bias. Recent a dvances in machine learning have unlocked new empirical possibilities for induct ive theorizing.”