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    Government College of Engineering Researchers Describe Research in Machine Learning [Forecasting failure-prone air pressure systems (FFAPS) in vehicles using machine learning]

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligence have been presented. According to news originatingfrom Dharmapuri, India, by NewsRx correspondents, research stated, “Vehicles become an inevitablefactor in everyone’s life.”

    Researchers from North China University of Science and Technology Publish Research in Robotics (Kinematics simulation of temperature measuring robot for steelmaking furnace)

    58-58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 robotics. According to news originating from Tangshan,People’s Republic of China, by NewsRx correspondents, research stated, “Aiming at the temperaturemeasurement in the refining process, a temperature measurement robot that can go deep into the furnacefor temperature measurement is designed.”

    Findings from Xi’an Jiaotong University in the Area of Machine Learning Reported (Mining Ionic Conductivity Descriptors of Antiperovskite Electrolytes for All-solid-state Batteries Via Machine Learning)

    58-59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 Machine Learning have been published. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Lithiumrichand sodium-rich antiperovskites (X3BA, X = Li, Na) have been explored as promising inorganicelectrolytes for all-solid-state batteries in recent years. To accelerate the design and discovery of high roomtemperature ionic conductivity antiperovskites, in this work, we apply the machine learning (ML) methodto mine material descriptors characterizing ionic conductivity directly.”

    Department of Laboratory Medicine Reports Findings in Helicobacter pylori (Detection of Helicobacter pylori infection in human gastric fluid through surface-enhanced Raman spectroscopy coupled with machine learning algorithms)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Gram-Negative Bacteria - Helicobacter pylori is the subject of a report. Accordingto news reporting out of Huai’an, People’s Republic of China, by NewsRx editors, research stated, “Diagnosticmethods for Helicobacter pylori (Hp) infection include but are not limited to urea breath test, serumantibody test, fecal antigen test, and rapid urease test. However, these methods suffer drawbacks such aslow accuracy, high false-positive rate, complex operations, invasiveness, etc.”

    University of Alberta Researcher Adds New Data to Research in Machine Learning (Machine Learning Approach to Enhance Highway Railroad Grade Crossing Safety by Analyzing Crash Data and Identifying Hotspot Crash Locations)

    60-61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 artificial intelligence is now available. According to news reportingout of Edmonton, Canada, by NewsRx editors, research stated, “Safe railway operation is vital for publicsafety, the environment, and property.”Our news correspondents obtained a quote from the research from University of Alberta: “Concurrentwith climbing amounts of rail traffic on the Canadian rail network are increases in the last decade in theannual crash counts for derailment, collision, and highway railroad grade crossings (HRGCs). HRGCs areimportant spatial areas of the rail network, and the development of community areas near railway tracksincreases the risk of HRGC crashes between highway vehicles and moving trains, resulting in consequences varying from property damage to injuries and fatalities. This research aims to identify major factorsthat cause HRGC crashes and affect the severity of associated casualties. Using these causal factors andensemble algorithms, machine learning models were developed to analyze HRGC crashes and the severityof associated casualties between 2001 and 2022 in Canada. Furthermore, spatial autocorrelation andoptimized hotspot analysis tools from ArcGIS software were used to identify hotspot locations of HRGCcrashes. The optimized hotspot analysis shows the clustering of HRGC crashes around major Canadiancities.”

    University of Nottingham Reports Findings in Robotics (An Analytical Differential Kinematics-based Method for Controlling Tendondriven Continuum Robots)

    61-62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 have been published. According to news originatingfrom Nottingham, United Kingdom, by NewsRx correspondents, research stated, “Generic andhigh-performance feedback control is still challenging for tendon-driven continuum robots. Conventionalmodel-based controllers, based on the piecewise constant curvature (PCC) assumption, explicitly requirethe arc parameters (bending angle and direction angle) to link the task (in Cartesian coordinates) andactuation spaces.”

    Research Conducted at University of Utrecht Has Updated Our Knowledge about Machine Learning (Identifying Politically Connected Firms: a Machine Learning Approach)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Utrecht, Netherlands, by NewsRx journalists, research stated, “This article introducesmachine learning techniques to identify politically connected firms. By assembling information frompublicly available sources and the Orbis company database, we constructed a novel firm population datasetfrom Czechia in which various forms of political connections can be determined.”

    Study Findings from Eindhoven University of Technology Provide New Insights into Machine Learning (Flexible Machine Learning Estimation of Conditional Average Treatment Effects: a Blessing and a Curse)

    63-64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 originating fromEindhoven, Netherlands, by NewsRx correspondents, research stated, “Causal inference from observationaldata requires untestable identification assumptions. If these assumptions apply, machine learning methodscan be used to study complex forms of causal effect heterogeneity.”

    University of Chicago Researcher Provides New Insights into Machine Learning (Predicting 10 Year Mortality With Machine Learning: Evidence From National Social Life, Health, And Aging Project)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are presented in a new report. According to news reporting outof Chicago, Illinois, by NewsRx editors, research stated, “The current academic literature extensively usedlinear logistic models with social, behavioral, and psychological status to predict mortality.”

    Studies from University of Electronic Science and Technology of China in the Area of Intelligent Systems Described (Motion Estimation and Multi-stage Association for Tracking-by-detection)

    65-66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 - Intelligent Systems. Accordingto news reporting originating in Chengdu, People’s Republic of China, by NewsRx journalists, researchstated, “Multi-object tracking (MOT) aims to locate and identify objects in videos. As deep learningbrings excellent performances to object detection, the tracking-by-detection (TBD) has gradually becomea mainstream tracking framework.”