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    New Data from Ministry of Education Illuminate Research in Int elligent Transport Systems (Exploring changes in residents’ dailyactivity patterns through sequen ce visualization analysis)

    29-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on intelligent transport sy stems have been published. According to newsoriginating from the Ministry of Ed ucation by NewsRx editors, the research stated, “The analysis ofpeople’s daily activities has played a crucial role in various applications, such as urban geog raphy, activityprediction, and homogeneous population detection.”

    Reports from University of Maryland Highlight Recent Findings in Machine Learnin g (Dual Energy Ct for Deep Learning-based Segmentation and Volumetric Estimation of Early Ischemic Infarcts)

    30-31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 Learn ing have been published. According to newsreporting originating from Baltimore, Maryland, by NewsRx correspondents, research stated, “Ischemic changes are not visible on non-contrast head CT until several hours after infarction, though dee p convolutionalneural networks have shown promise in the detection of subtle im aging findings. This study aimsto assess if dual-energy CT (DECT) acquisition c an improve early infarct visibility for machine learning.”

    Studies from Wuhan Technology and Business University Further Understanding of R obotics (Cluster formation tracking of networked perturbed robotic systems via h ierarchical fixed-time neural adaptive approach)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news originatingfrom Wuhan Technology and Business University by NewsRx correspondents, research stated, “This paperinvestigates the fixed-time cluster formation tracking (CFT) problem for networked perturbed robotic systems(NPRSs) under directed graph information interaction, considerin g parametric uncertainties, externalperturbations, and actuator input deadzone. ”

    Mansoura University Reports Findings in Machine Learning (Circular rubber aggreg ate CFST stub columns under axial compression: prediction and reliability analys is)

    31-32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 th e subject of a report. According to newsreporting from Mansoura, Egypt, by News Rx journalists, research stated, “Extensive studies support usingsteel tubes to enhance the structural integrity of rubber aggregate concrete (RBAC), namely RB AC-filled steel tubes (RCFST). However, current design codes for assessing the a xial compressive behaviour ofcircular stub RCFST (CS-RCFST) columns are limited .”

    Auckland University of Technology Reports Findings in Artificial Intelligence (P erceptions Toward Using Artificial Intelligence and Technology for Asthma Attack Risk Prediction: Qualitative Exploration of Maori Views)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating in Aucklan d, New Zealand, by NewsRx journalists, research stated, “Asthma is asignificant global health issue, impacting over 500,000 individuals in New Zealand and disp roportionatelyaffecting Maori communities in New Zealand, who experience worse asthma symptoms and attacks. Digitaltechnologies, including artificial intellig ence (AI) and machine learning (ML) models, are increasinglypopular for asthma risk prediction.”

    UCLH NHS Foundation Trust Reports Findings in Artificial Intelligence (Artificia l intelligence versus human touch: can artificial intelligence accurately genera te a literature review on laser technologies?)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating in London, United Kingdom, by NewsRx journalists, research stated, “To comparethe accurac y of open-source Artificial Intelligence (AI) Large Language Models (LLM) agains t humanauthors to generate a systematic review (SR) on the new pulsed-Thulium:Y AG (p-Tm:YAG) laser. Fivemanuscripts were compared.”

    Studies from Guangdong University of Technology in the Area of Robotics Reported (Consensus Formation Control of Wheeled Mobile Robots With Mixed Disturbances U nder Input Constraints)

    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 Ro botics. According to news originating fromMaoming, People’s Republic of China, by NewsRx correspondents, research stated, “This paper addressesthe problem of distributed consensus-based formation control for wheeled mobile robots (WMRs) u nder theinfluence of mixed disturbances, including both random noise and non-ra ndom disturbances. A consensusformation auxiliary subsystem is constructed base d on the leader’s position estimated by the distributedestimator.”

    New Findings from Indian Institute for Technology Describe Advances in Machine L earning (Return Management In E-commerce Firms: a Machine Learning Approach To P redict Product Returns and Examine Variables Influencing Returns)

    36-36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 Learn ing have been published. According to newsreporting originating from Mumbai, In dia, by NewsRx correspondents, research stated, “The advent oftechnology with i nternet penetration has led to exponential growth in sales through online medium sworldwide. Although the growth has increased sales and created opportunities f or many firms and sellersto flourish, it also brings in the challenge of custom er returns, making it a formidable challenge forbusinesses.”

    Researcher from Kyoto University Provides Details of New Studies and Findings in the Area of Robotics (Field Trial of a Queue- Managing Security Guard Robot)

    37-37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 originating fromKyoto, Japan, by NewsRx correspondents, r esearch stated, “We developed a security guard robot that isspecifically design ed to manage queues of people and conducted a field trial at an actual public ev ent toassess its effectiveness. However, the acceptance of robot instructions o r admonishments poses challengesin real-world applications.”

    Research from Lucian Blaga University of Sibiu in Robotics Provides New Insights (Robotic assembly - mobile platform for construction field)

    38-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to news reportingoriginating from Sibiu, Roman ia, by NewsRx correspondents, research stated, “Construction sites ofteninvolve the manual transportation of heavy objects, posing risks to workers’ safety and efficiency.”Our news reporters obtained a quote from the research from Lucian Blaga Universi ty of Sibiu: “In thispaper, it was proposed a design, development, and evaluati on of a service robot specifically created forcarrying heavy objects in the con struction field. The robot is equipped with robust locomotion capabilities,inte lligent perception systems, and efficient control mechanisms to navigate through complex environmentsand handle various types of loads. It was presented the te chnical design of the robot, including its hardwarecomponents, sensing modaliti es, and software architecture. Furthermore, it was discussed the experimentalva lidation of the robot’s performance in real-world construction scenarios, highli ghting its effectivenessin improving productivity, reducing labor costs, and en hancing workplace safety.”