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    New Findings from Xi’an University of Technology Update Understanding of Robotic s (A Rise-based Asymptotic Prescribed Performance Trajectory Tracking Control of Two-wheeled Self-balancing Mobile Robot)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting originating inXi’an, People’s Republic of China , by NewsRx journalists, research stated, “This paper proposes a robustintegral of sign error (RISE) based tracking control method with asymptotic prescribed p erformance fortwo-wheeled self-balancing mobile robot (TSBR) in presence of exo genous disturbances and modelinguncertainties. First, a velocity planner is des igned to provide the desirable longitudinal speed and yaw ratebased on the TSBR ’s kinematics model.”

    Investigators from Texas A&M University Zero in on Machine Learning (Applying Explainable Machine Learning Techniques In Daily Crash Occurrence and Severity Modeling for Rural Interstates)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting out ofCollege Station, Texas, by NewsRx editors, research stated, “Conventional traffic crash analysis methodsoften us e highly aggregated data, making it difficult to understand the effects of time- varying factors oncrash occurrence. Although studies have used data with small aggregation intervals, they typically analyzethe effect of a single factor on c rash occurrence.”

    Reports from East China Jiaotong University Highlight Recent Findings in Machine Learning (Interpretable Machine Learning-based Text Classification Method for C onstruction Quality Defect Reports)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting originating in Nancha ng, People’s Republic of China, by NewsRx journalists, research stated,“Efficie nt identification and remediation of construction defects are critical for ensur ing the quality andsuccess of engineering projects. However, the complexity of construction environments poses challenges tothis endeavor.”

    Findings from Yantai University Update Understanding of Intelligent Vehicles (Hi gh-order Structural Relation Distillation Networks From Lidar To Monocular Image 3d Detectors)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Transportation - Intelligent Vehic les is now available. According to news reportingfrom Yantai, People’s Republic of China, by NewsRx journalists, research stated, “3D object detectionis a cru cial and complex undertaking in the realm of 3D scene comprehension. Monocular-b ased 3Ddetectors, in comparison to LiDAR 3D detectors that utilize point clouds as input, often exhibit a significantperformance gap.”

    New Findings from Max-Planck-Institute for Microstructure Physics Update Underst anding of Machine Learning (Searching Materials Space for Hydride Superconductor s At Ambient Pressure)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews originating from Halle, Germany , by NewsRx correspondents, research stated, “A machine-learningassistedapproa ch is employed to search for superconducting hydrides under ambient pressure wit hin anextensive dataset comprising over 150 000 compounds. The investigation yi elds approximate to 50 systemswith transition temperatures surpassing 20 K, and some even reaching above 70 K. These compounds havevery different crystal stru ctures, with different dimensionality, chemical composition, stoichiometry, andarrangement of the hydrogens.”

    Research on Machine Learning Described by Researchers at American University of the Middle East (Estimating the Bitumen Ratio to be Used in Highway Asphalt Conc rete by Machine Learning)

    33-33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 Egaila, Kuwait, b y NewsRx editors, research stated, “Hot mix asphalt, which is frequentlyused in road pavements, contains bitumen in certain proportions. This bitumen ratio var ies according tothe layers in the road pavements.”

    Data from Geological Survey of Canada Advance Knowledge in Machine Learning (Pre dictive Modeling of Canadian Carbonatitehosted Ree Plus /- Nb Deposits)

    35-35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 Ma chine Learning. According to news originatingfrom Ottawa, Canada, by NewsRx cor respondents, research stated, “Carbonatites are the primary geologicalsources f or rare earth elements (REEs) and niobium (Nb). This study applies machine learn ingtechniques to generate national-scale prospectivity models and support miner al exploration targeting ofCanadian carbonatite-hosted REE +/- Nb deposits.”

    University Hospital Tubingen Reports Findings in Heart Attack (Machine learning predicts emergency physician specialties from treatment strategies for patients suspected of myocardial infarction)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Attack is the subject of areport. According to news reporting or iginating in Tuebingen, Germany, by NewsRx journalists, researchstated, “Our in vestigation aimed to determine how the diverse backgrounds and medical specialti es ofemergency physicians (Eps) influence the accuracy of diagnoses and the sub sequent treatment pathwaysfor patients presenting preclinically with MI symptom s. By scrutinizing the relationships between EPs’specialties and their approach es to patient care, we aimed to unveil potential variances in diagnosticaccurac y and treatment choices.”

    Study Findings from Florida State University Broaden Understanding of Machine Le arning (Geoshapley: a Game Theory Approach To Measuring Spatial Effects In Machi ne Learning Models)

    38-38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 Ma chine Learning. According to news reportingfrom Tallahassee, Florida, by NewsRx editors, the research stated, “This article introduces GeoShapley, agame theor y approach to measuring spatial effects in machine learning models. GeoShapley e xtends theNobel Prize-winning Shapley value framework in game theory by concept ualizing location as a player in amodel prediction game, which enables the quan tification of the importance of location and the synergiesbetween location and other features in a model.”

    North China University of Water Resources and Electric Power Researcher Describe s Research in Machine Learning (Tiny-Machine- Learning-Based Supply Canal Surface Condition Monitoring)

    38-39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 reportingout of Zhengzhou, People’s Republic of China, by NewsRx editors, research stated, “The South-to-NorthWater Diversion Project in China is an extensive inter-basin water transfer project, for which ensuring thesafe operation and maintenance of infrastructure poses a fundamental challenge.”