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    Reports on Robotics and Automation from Carnegie Mellon University Provide New I nsights (Robust Preintegrated Wheel Odometry for Off-road Autonomous Ground Vehi cles)

    11-11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 Robotics - Ro botics and Automation have been published.According to news reporting originati ng in Pittsburgh, Pennsylvania, by NewsRx journalists, researchstated, “Wheel o dometry is not often used in state estimation for off-road vehicles due to frequ ent wheelslippage, varying wheel radii, and the 3D motion of the vehicle not fi tting with the 2D nature of integratedwheel odometry. This letter attempts to o vercome these issues by proposing a novel 3D preintegration ofwheel encoder mea surements on manifold.”

    Reports on Robotics and Automation from Carnegie Mellon University Provide New I nsights (Robust Preintegrated Wheel Odometry for Off-road Autonomous Ground Vehi cles)

    11-11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 Robotics - Ro botics and Automation have been published.According to news reporting originati ng in Pittsburgh, Pennsylvania, by NewsRx journalists, researchstated, “Wheel o dometry is not often used in state estimation for off-road vehicles due to frequ ent wheelslippage, varying wheel radii, and the 3D motion of the vehicle not fi tting with the 2D nature of integratedwheel odometry. This letter attempts to o vercome these issues by proposing a novel 3D preintegration ofwheel encoder mea surements on manifold.”

    Data on Machine Learning Detailed by Researchers at Beijing University of Techno logy (Interpretable Gradient Boosting Based Ensemble Learning and African Vultur es Optimization Algorithm Optimization for Estimating Deflection Induced By ...)

    12-12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 reporting originatingfrom Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Intelligentconstructi on has become an inevitable trend in the development of the construction industr y. In theexcavation project, using machine learning methods for early warning c an improve construction efficiencyand quality and reduce the chances of damage in the excavation process.”

    Data on Machine Learning Detailed by Researchers at Beijing University of Techno logy (Interpretable Gradient Boosting Based Ensemble Learning and African Vultur es Optimization Algorithm Optimization for Estimating Deflection Induced By ...)

    12-12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 reporting originatingfrom Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Intelligentconstructi on has become an inevitable trend in the development of the construction industr y. In theexcavation project, using machine learning methods for early warning c an improve construction efficiencyand quality and reduce the chances of damage in the excavation process.”

    New Artificial Intelligence Study Findings Recently Were Reported by Researchers at Swiss Federal Institute of Technology Lausanne (Can We Trust Explainable Art ificial Intelligence In Wind Power Forecasting?)

    13-13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 Artificial In telligence have been published. According to newsreporting out of Lausanne, Swi tzerland, by NewsRx editors, research stated, “Advanced artificial intelligence(AI) models typically achieve high accuracy in wind power forecasting, but their internal mechanismslack interpretability, which undermines user confidence in forecast value and strategy execution. To thisend, this paper aims to investiga te the interpretability of AI models, which is crucial but usually overlookedin wind power forecasting.”

    New Artificial Intelligence Study Findings Recently Were Reported by Researchers at Swiss Federal Institute of Technology Lausanne (Can We Trust Explainable Art ificial Intelligence In Wind Power Forecasting?)

    13-13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 Artificial In telligence have been published. According to newsreporting out of Lausanne, Swi tzerland, by NewsRx editors, research stated, “Advanced artificial intelligence(AI) models typically achieve high accuracy in wind power forecasting, but their internal mechanismslack interpretability, which undermines user confidence in forecast value and strategy execution. To thisend, this paper aims to investiga te the interpretability of AI models, which is crucial but usually overlookedin wind power forecasting.”

    Reports Summarize Support Vector Machines Study Results from Arctic University o f Norway (UiT) (Evaluating Performances of LSTM, SVM, GPR, and RF for Drought Pr ediction in Norway: A Wavelet Decomposition Approach on Regional Forecasting)

    14-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on support vector ma chines are discussed in a new report. Accordingto news reporting out of Tromso, Norway, by NewsRx editors, research stated, “A serious natural disasterthat po ses a threat to people and their living spaces is drought, which is difficult to notice at first andcan quickly spread to wide areas through subtle progression .”

    Reports Summarize Support Vector Machines Study Results from Arctic University o f Norway (UiT) (Evaluating Performances of LSTM, SVM, GPR, and RF for Drought Pr ediction in Norway: A Wavelet Decomposition Approach on Regional Forecasting)

    14-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on support vector ma chines are discussed in a new report. Accordingto news reporting out of Tromso, Norway, by NewsRx editors, research stated, “A serious natural disasterthat po ses a threat to people and their living spaces is drought, which is difficult to notice at first andcan quickly spread to wide areas through subtle progression .”

    German Cancer Research Center Reports Findings in Catatonia (Deciphering white m atter microstructural alterations in catatonia according to ICD-11: replication and machine learning analysis)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Nervous System Disease s and Conditions - Catatonia is the subject ofa report. According to news repor ting from Heidelberg, Germany, by NewsRx journalists, research stated,“Catatoni a is a severe psychomotor disorder characterized by motor, affective and cogniti ve-behavioralabnormalities. Although previous magnetic resonance imaging (MRI) studies suggested white matter (WM)dysconnectivity in the pathogenesis of catat onia, it is unclear whether microstructural alterations of WMtracts connecting psychomotor regions might contribute to a better classification of catatonia pat ients.”

    German Cancer Research Center Reports Findings in Catatonia (Deciphering white m atter microstructural alterations in catatonia according to ICD-11: replication and machine learning analysis)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Nervous System Disease s and Conditions - Catatonia is the subject ofa report. According to news repor ting from Heidelberg, Germany, by NewsRx journalists, research stated,“Catatoni a is a severe psychomotor disorder characterized by motor, affective and cogniti ve-behavioralabnormalities. Although previous magnetic resonance imaging (MRI) studies suggested white matter (WM)dysconnectivity in the pathogenesis of catat onia, it is unclear whether microstructural alterations of WMtracts connecting psychomotor regions might contribute to a better classification of catatonia pat ients.”