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    Researcher from Multimedia University Provides Details of New Studies and Findin gs in the Area of Artificial Intelligence (Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart ...)

    101-102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 tonews reporting from Cyberjaya, Mala ysia, by NewsRx journalists, research stated, “This paper presentsan advanced A I-based optimization framework for Electric Vehicle (EV) smart charging systems, focusingon efficient energy distribution to meet dynamic user demand.”

    New Machine Learning Study Findings Has Been Reported by a Researcher at Univers ity of Reims Champagne-Ardenne (URCA) (Predicting the Open Porosity of Industria l Mortar Applied on Different Substrates: A Machine Learning Approach)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news originating from Riode Janeiro, Brazil, by News Rx correspondents, research stated, “This study aims to evaluate the potentialo f machine learning algorithms (Random Forest and Support Vector Machine) in pred icting the openporosity of a general-use industrial mortar applied to different substrates based on the characteristics ofboth the mortar and substrates.”

    Studies from Texas A&M University Yield New Data on Machine Learnin g (Machine learning-based smart irrigation controller for runoff minimization in turfgrass irrigation)

    103-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsoriginating from College Statio n, Texas, by NewsRx editors, the research stated, “Inadequate turfgrassirrigati on management poses a significant challenge, resulting in considerable water los s through runoffand the transport of contaminants, ultimately jeopardizing surf ace and groundwater quality.”

    Justus-Liebig-University Giessen Researchers Advance Knowledge in Artificial Int elligence (MOTH: Memory-Efficient On-the-Fly Tiling of Histological Image Annota tions Using QuPath)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on artificial intelligence is the su bject of a new report. According to news originating from Giessen, Germany, by N ewsRx correspondents, research stated, “The emerging usage of digitalizedhistop athological images is leading to a novel possibility for data analysis.”Financial supporters for this research include German Federal Ministry of Educat ion and ResearchFederal Ministry of Education and Research.

    Researcher from Shanghai University Publishes New Studies and Findings in the Ar ea of Pattern Recognition and Artificial Intelligence (CNN Pruning with Multi-St age Feature Decorrelation)

    104-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on pattern recogniti on and artificial intelligence are discussed in anew report. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRxcorre spondents, research stated, “This paper proposes a channel pruning method based on multi-stagefeature de-correlation to obtain a more efficient convolutional n eural network (CNN) model.”

    New Machine Learning Findings from University of Victoria Discussed [A Review of Ai and Machine Learning Contribution In Business Process Management (Process Enhancement and Process Improvement Approaches)]

    105-106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 reporting originatingin Victoria, Canada, by NewsR x journalists, research stated, “The significance of business processeshas fost ered a close collaboration between academia and industry. Moreover, the business landscape haswitnessed continuous transformation, closely intertwined with tec hnological advancements.”

    New Findings from Sejong University Describe Advances in Machine Learning (Detec tion of physical hazards from fruit processed products using hyperspectral imagi ng and prediction based on PLS-DA and logistic regression machine learning model s)

    106-107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 originatingfrom Seoul, South Korea, by New sRx editors, the research stated, “The current study aims to investigate apredi ction model from reflection values and the spectral angle mapper (SAM) obtained from hyperspectralimaging (HSI) technology for the detection of three types of foreign materials - a branch, a knife, andrubber - that are associated with the various fruit-processed products.”

    Daegu Gyeongbuk Institute of Science and Technology (DGIST) Researchers Add New Data to Research in Robotics (Flexible endoscope manipulating robot using quad-r oller friction mechanism)

    107-108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 robotics have bee n published. According to news reporting outof Daegu, South Korea, by NewsRx ed itors, research stated, “A robotic system for manipulating a flexibleendoscope in surgery can provide enhanced accuracy and usability compared to manual operat ion.”

    Data from Tianjin University Provide New Insights into Robotics (Multi-station M ulti-robot Task Assignment Method Based On Deep Reinforcement Learning)

    108-109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 fromTianjin, People’s Republic of China, by N ewsRx correspondents, research stated, “This paper focuses onthe problem of mul ti-station multi-robot spot welding task assignment, and proposes a deep reinfor cementlearning (DRL) framework, which is made up of a public graph attention ne twork and independent policynetworks. The graph of welding spots distribution i s encoded using the graph attention network.”

    Research Findings from Keio University Update Understanding of Robotics (Real-Wo rld Robot Control Based on Contrastive Deep Active Inference With Demonstrations )

    109-110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 reportingoriginating from Kanagawa, Japan, b y NewsRx correspondents, research stated, “Despite significantadvances in robot ics and deep learning, the ability of robots to perceive and act remain far belo wthat of humans. To bridge this gap, we utilize active inference, a framework b ased on the free-energyprinciple that accounts for various human brain function s.”