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    First Affiliated Hospital of Yangtze University Reports Findings in Artificial I ntelligence (Application of artificial intelligence in the diagnosis and treatme nt of Kawasaki disease)

    117-118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 Jingzho u, People’s Republic of China, by NewsRx journalists, research stated, “Thisedi torial provides commentary on an article titled ‘Potential and limitations of Ch atGPT and generativeartificial intelligence (AI) in medical safety education’ r ecently published in the. AI has enormous potentialfor various applications in the field of Kawasaki disease (KD).”

    New Robotics Study Findings Reported from Zhejiang University (Deep Reinforcemen t Learning-based Pitch Attitude Control of a Beaver-like Underwater Robot)

    118-119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 from Hangzhou,People’s Republic of China, by Ne wsRx journalists, research stated, “The foot paddling of an underwaterrobot cau ses continuous changes of the water flow field, which results in the unbalanced hydrodynamicforce to change the robot ‘s posture continuously. As the water env ironment and robot swimming arenonlinear and strongly coupled systems, it is di fficult to establish an accurate model.”

    Studies Conducted at University of Technology on Machine Learning Recently Repor ted (Decision Tree Regression Supervised Machine Learning Assisted Large Dynamic Range Refractive Index Detection Using Mmi Coreless Multimode Fiber Sensor)

    119-120页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Machine Learning have been prese nted. According to news originating fromJohor Baharu, Malaysia, by NewsRx corre spondents, research stated, “A supervised machine learning(ML) algorithm is pro posed for measuring refractive index (RI) values both below and above the RI of thefiber material using a multimode interference (MMI) fiber sensor. The sensor is constructed by splicing acoreless multimode fiber (CMF) segment between two single-mode fiber (SMF) leads.”

    Study Data from Wuxi Institute of Technology Provide New Insights into Machine L earning (Performance Optimization of Cement Calciner Based On Cfd Simulation and Machine Learning Algorithm)

    120-121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 originating fromJiangsu, People’s Republic of Chi na, by NewsRx correspondents, research stated, “In order to improvethe combusti on efficiency and decomposition rate of the cement calciner and reduce pollutant emission, aperformance optimization method based on Computational Fluid Dynami cs (CFD) numerical simulationintegrated with machine learning is proposed. The Multiphase Particle-in-cell (MP-PIC) method and thechemical reaction models are employed to simulate the coal combustion and CaCO3 decomposition process,whose calculation results are combined with the industrial practical data of the ceme nt plant, so as toestablish a more comprehensive training database.”

    New Robotics Findings from University of California San Diego (UCSD) Discussed ( Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Plan ning With Transformers)

    121-121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 La Jolla, California, by News Rx correspondents, research stated, “Motion planning is integral torobotics app lications such as autonomous driving, surgical robots, and industrial manipulato rs. Existingplanning methods lack scalability to higher-dimensional spaces, whi le recent learning-based planners haveshown promise in accelerating sampling-ba sed motion planners (SMP) but lack generalizability to out-ofdistributionenvir onments.”

    Investigators at Shanghai University Describe Findings in Robotics (Positioning Accuracy Improvement for Target Point Tracking of Robots Based On Extended Kalma n Filter With an Optical Tracking System)

    122-123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 fromShanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Although industrialrobots have bee n successfully used in a wide spectrum of applications for production automation , theystill face challenges for many high precision tasks especially in low-vol ume high-mix production due totheir low absolute positioning accuracy. To respo nd to such rapidly changing production tasks, an efficientmeans is required to determine the pose relationship between the robot and the workpiece without human intervention such as teaching the robot.”

    Reports Outline Machine Learning Study Findings from Max-Planck-Institute for Ex traterrestrial Physics (How To Set Up Your First Machine Learning Project In Ast ronomy)

    124-124页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reporting fromGarching, Germany, by NewsRx journ alists, research stated, “Large, freely available, well-maintained datasets hav e made astronomy a popular playground for machine learning (ML) projects. Nevert heless, robustinsights gained to both ML and physics could be improved by clari ty in problem definition and establishingworkflows that critically verify, char acterize and calibrate ML models.”

    Data on Machine Learning Detailed by a Researcher at Simon Fraser University (Ma chine Learning for Criteria Weighting in GIS-Based Multi-Criteria Evaluation: A Case Study of Urban Suitability Analysis)

    124-125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 news reporting out of Burnaby, Canada, by NewsRx editors, research stated, “Geographic Information SystembasedMulti-C riteria Evaluation (GIS-MCE) methods are designed to assist in various spatial d ecisionmakingproblems using spatial data.”

    Investigators from Polytechnic University Milan Target Machine Learning (Estimat ing Morning Ramp-up Duration for the Cooling Season In a Smart Building Using Ma chine Learning: Determining Most Promising Features)

    126-127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 fromMilan, Italy, by NewsRx correspond ents, research stated, “The nighttime setback approaches commonlyconsider fixed morning schedules regardless of the rooms’ thermal behavior, resulting in rooms beingconditioned before occupants’ arrival. The present work is focused on dev eloping machine learning-basedpipelines for estimating the ramp-up duration in different indoor spaces, which is the time the HVAC systemneeds to bring the sp ace temperature to the desired setpoint.”

    Patent Application Titled 'Method and device for detecting and localizing faults in an antenna array, and test system' Published Online (USPTO 20240275503)

    137-141页
    查看更多>>摘要:No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors:“Although applicable in principle to any antenna array, the pr esent invention and its underlying problemwill be hereinafter described in comb ination with a base station comprising an antenna array.