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    Investigators from Chinese Academy of Sciences Target Machine Learning (Search f or Young Stellar Objects Within 4xmm-dr13 Using Catboost and Spe)

    85-86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 Machine Learning. According to news originatingfrom Beijing, People’s Republic of Chin a, by NewsRx correspondents, research stated, “Classifying andsummarizing large data sets from different sky survey projects is essential for various subsequen t scientificresearch. By combining data from 4XMM-DR13, Sloan Digital Sky Surve y (SDSS) DR18, and CatWISE,we formed an XMM-WISE-SDSS sample that included info rmation in the X-ray, optical, and infraredbands.”

    Doshisha University Researchers Highlight Recent Research in Robotics (Effect of impedance characteristics on human cortical and upper limb muscle activity and work characteristics in human-robot physical interaction)

    86-87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 robotics. According to news reporting originatingfrom Doshisha University by Ne wsRx correspondents, research stated, “Impedance control has beenextensively us ed in robot control in physical human-robot interactions between humans and robo ts. Toachieve smooth operation, various evaluations of operator responses have been performed during robotoperation under impedance control.”

    Investigators from Shanghai Jiao Tong University Have Reported New Data on Robot ics (Learning of Long-horizon Sparse-reward Robotic Manipulator Tasks With Base Controllers)

    87-88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 Robotics. According to news reporting out ofShanghai, People’s Republic of Chin a, by NewsRx editors, research stated, “Deep reinforcement learning(DRL) enable s robots to perform some intelligent tasks end-to-end. However, there are still manychallenges for long-horizon sparse-reward robotic manipulator tasks.”

    Xinjiang University Researchers Detail Findings in Machine Learning (Interpretab le machine learning study of a collector based on combined twisted-tape and wavy -tape inserts)

    88-89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 ar tificial intelligence. According to news reportingoriginating from Urumqi, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Nowadays,th e efficiency of air collectors for solar thermal applications is still low, and many researchers tend touse machine learning to predict and model the performan ce of thermal systems, but most of the existingmachine learning methods are uni nterpretable, which poses a challenge for machine learning applications.”Financial supporters for this research include Science And Technology Department of Xinjiang UygurAutonomous Region.

    Research Conducted at Northeastern University Has Updated Our Knowledge about Ro botics (The Effects of Type and Form of Collaborative Robots In Manufacturing On Trustworthiness, Risk Perceived, and Acceptance)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics have been pr esented. According to news reporting originatingin Liaoning, People’s Republic of China, by NewsRx journalists, research stated, “As one of the latestapplicat ions in the field of artificial intelligence, collaborative robots (cobots) are playing an increasinglyimportant role in manufacturing. This study is aimed to ascertain the effects of the type and form of acollaborative robot in manufactu ring on trustworthiness, risk perceived, and acceptance.”

    Research on Machine Learning Described by a Researcher at University of Carthage (Spatiotemporal monitoring of groundwater supply and active energy for irrigati on practice in semi-arid regions of Tunisia with machine learning)

    90-90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 out of Ariana, Tunisia, by NewsRx editors, research stated, “ABSTRACT: Semiarid regions arefacing overe xploitation of groundwater resources to meet irrigation needs.”

    Findings on Robotics Reported by Investigators at Northeastern University (Effic ient Impedance Controller Tuning of Robot Environment Interaction With Improved Transient and Steady-state Performance)

    91-91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 Robotic s. According to news reporting originatingin Shenyang, People’s Republic of Chi na, by NewsRx journalists, research stated, “This article proposesan efficient tuning strategy for impedance controllers based on multiobjective Bayesian optim ization toachieve accurate force tracking in robot-environment interaction task s. Contrasting with the singleobjectiveoptimization-based tuning methods, we f ully exploit the force feedback information to constructobjective functions tha t characterize both the transient and steady-state behaviors, thereby enabling ajoint optimization of the response performance of the interaction force.”

    Research in the Area of Machine Learning Reported from Department of Electronics and Telecommunication Engineering (Design & development of adulte ration detection system by fumigation method & machine learning te chniques)

    92-92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 ar tificial intelligence. According to news reportingoriginating from the Departme nt of Electronics and Telecommunication Engineering by NewsRxcorrespondents, re search stated, “A novel method for discovery of adulteration in edible oil is pr oposedbased on concept of refractive index and electronic sensors. The research work focusses on two distinctmethodologies like employing datasets and impleme nting a fumigation technique that integrates real-timehardware for testing Edib le oil Impurities.”

    Qufu Normal University Reports Findings in Robotics (Distributed leader-followin g bipartite consensus for one-sided Lipschitz multiagent systems via dual-termi nal event-triggered mechanism)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subjec t of a report. According to news reporting outof Shandong, People’s Republic of China, by NewsRx editors, research stated, “This article analyses leaderfollowing bipartite consensus for one-sided Lipschitz multi-agent systems by dual-term inal event-triggeredoutput feedback control approach. A distributed observer is designed to estimate unknown system statesby employing relative output informa tion at triggering time instants, and then an event-triggered outputfeedback co ntroller is proposed.”

    Data on Machine Learning Described by Researchers at Zhejiang Ocean University ( Construction and Comparison of Machine-Learning Forecast Models of Albacore * * Thunnus alalunga* * Fishing Grounds in the South Pacific Ocean)

    94-94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 ar tificial intelligence. According to news reportingout of Zhoushan, People’s Rep ublic of China, by NewsRx editors, research stated, “The traditional methodsfor predicting the distribution of albacore (* * Thunnus alalunga* * ) fishing grou nds have low performanceand accuracy. Uneven sampling can result in unreasonabl e evaluation indicators.”