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    Reports from Tsinghua University Highlight Recent Findings in Intelligent System s (Long-term Student Performance Prediction Using Learning Ability Self-adaptive Algorithm)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Machine Learn ing - Intelligent Systems. According to news reporting from Beijing, People’s Re public of China, by NewsRx journalists, research stated, “Predicting student per formance is crucial for both preventing failure and enabling personalized teachi ng-and-learning strategies. The digitalization of educational institutions has l ed to the collection of extensive student learning data over the years.”

    Data on Robotics Discussed by Researchers at Beijing Institute of Technology (Ad aptive High-order Control Barrier Function-based Iterative Lqr for Real Time Saf ety-critical Motion Planning)

    41-41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 Robotics is now availab le. According to news originating from Beijing, People’s Republic of China, by N ewsRx correspondents, research stated, “This letter proposes an adaptive high-or der control barrier function-based iterative linear quadratic regulator (AHOCBF- ILQR) algorithm for real time safety-critical motion planning. Firstly, we propo se a HOCBF-ILQR method, where a HOCBF-based controller is designed as a safety f ilter of ILQR to guarantee safety.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

    Researcher from Jiangsu Ocean University Reports on Findings in Pattern Recognit ion and Artificial Intelligence (Interpretable Long-Term Forecasting Based on Dy namic Attention in Smart City)

    42-42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 pattern recog nition and artificial intelligence have been published. According to news report ing from Lianyungang, People’s Republic of China, by NewsRx journalists, researc h stated, “Accurate prediction is of great significance to the construction of a smart city.” Funders for this research include National Natural Science Foundation of China.

    Investigators at Huazhong University of Science and Technology Detail Findings i n Machine Learning (Machine Learning In Modelling the Urban Thermal Field Varian ce Index and Assessing the Impacts of Urban Land Expansion On Seasonal Thermal . ..)

    43-43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 originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “Land use practices in urban areas e xert a profound influence on the urban thermal environment and the pursuit of su stainable development. This paper aims to investigate and forecast future change s in land use/land cover (LULC) and their response to seasonal variations in lan d surface temperatures (LST), the urban thermal field variance index (UTFVI), an d the urban heat island effect (UHI).”

    Studies from North China University of Water Resources and Electric Power Have P rovided New Data on Robotics (The Design of Decoupled Robotic Arm Based on Chain Transmission)

    44-44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 out of Zhengzhou, People’s Re public of China, by NewsRx editors, research stated, “Unlike the conventional ro botic arm where the joints are coupled to each other, this paper proposes a posi tion and posture decoupling method to mechanically correct the end position of t he robotic arm in real time through dual-motion transmission, which is both moto r-reducer-driven and chain-driven; when the position of the end of the robotic a rm changes, the positional linkage of each articulated arm end is unaffected.”

    New Findings from Coventry University Describe Advances in Symbolic Computation (Explainable Ai Insights for Symbolic Computation: a Case Study On Selecting the Variable Ordering for Cylindrical Algebraic Decomposition)

    45-45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 Symbolic Computation is now available. According to news reporting originating in Coventry, United King dom, by NewsRx journalists, research stated, “In recent years there has been inc reased use of machine learning (ML) techniques within mathematics, including sym bolic computation where it may be applied safely to optimise or select algorithm s.” Funders for this research include Engineering & Physical Sciences Research Council (EPSRC), Coventry University Research Excellence grant, Univers ity of Cincinnati, Ohio Space Grant Consortium Research Fellowship, University o f Cincinnati International Study Abroad Scholarship.

    University of Toronto Reports Findings in Robotics (Care Providers' Perspectives on the Design of Assistive Persuasive Behaviors for Socially Assistive Robots)

    46-46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 Robotics is the subjec t of a report. According to news originating from Toronto, Canada, by NewsRx cor respondents, research stated, “The main objectives of this research were (1) to uniquely design assistive behaviors for socially assistive robots using the prin ciples of persuasion from behavioral psychology, and (2) to investigate caregive rs’ perspectives and opinions on the use of these behaviors to engage and motiva te older adults in cognitive activities. We developed 10 unique robot persuasive assistive behavior strategies for the social robot Pepper using both verbal and nonverbal communication modes.”

    New Findings from University of London in Machine Learning Provides New Insights (Machine Learning Clifford Invariants of Ade Coxeter Elements)

    47-48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 Ma chine Learning. According to news originating from London, United Kingdom, by Ne wsRx correspondents, research stated, “There has been recent interest in novel C lifford geometric invariants of linear transformations. This motivates the inves tigation of such invariants for a certain type of geometric transformation of in terest in the context of root systems, reflection groups, Lie groups and Lie alg ebras: the Coxeter transformations.”

    New Findings on Machine Learning from National Institute of Technology Summarize d (Exploring Spatial Machine Learning Techniques for Improving Land Surface Temp erature Prediction)

    48-48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 from Tamil Nadu, India, by NewsRx journa lists, research stated, “Land Surface Temperature (LST) is a crucial parameter i n Earth observation and environmental studies due to its significance in various fields. The purpose of this study is to investigate the effects of including sp atial information into the Random Forest (RF) and eXtreme Gradient Boosting (XGB oost) models for forecasting LST.”

    Data on Stroke Reported by Janne M. Veerbeek and Colleagues (Upper Limb Robots f or Recovery of Motor Arm Function in Patients With Stroke: A Systematic Review a nd Meta-Analysis)

    49-50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 Cerebrovascular Diseas es and Conditions - Stroke is the subject of a report. According to news reporti ng out of Milan, Italy, by NewsRx editors, research stated, “Robot technology to support upper limb (UL) rehabilitation poststroke has rapidly developed over th e past 3 decades. We aimed to assess the effects of UL-robots (UL-RTs) on recove ry of UL motor functioning and capacity poststroke when compared with any non-UL -RT and to identify variables that are associated with the found effect sizes (E Ss).”