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    Dalian Polytechnic University Reports Findings in Machine Learning (Prediction o f mass spectrometry ionization efficiency based on COSMO-RS and machine learning algorithms)

    10-11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 reporting fromDalian, People’s Republic of China, by NewsRx journalists, research stated, “Non-targeted analysis of highresolution mass spectrometry (MS) can identify thousands of compounds, which also gives a huge challengeto their quantification. The aim of this study is to investigat e the impact of mass spectrometry ionizationefficiency on various compounds in food at different solvent ratios and to develop a predictive modelfor mass spec trometry ionization efficiency to enable non-targeted quantitative prediction of unknowncompounds.”

    Tokyo University of Agriculture and Technology Researchers Publish New Studies a nd Findings in the Area of Robotics (Lessons in Developing a Behavioral Coding P rotocol to Analyze In-the-Wild Child-Robot Interaction Events and Experiments)

    11-12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 reportingout of Tokyo, Japan, by NewsRx edito rs, research stated, “Behavioral analyses of in-the-wild HRI studiesgenerally r ely on interviews or visual information from videos.”

    Research Data from Shenyang University Update Understanding of Robotics (Traject ory Planning and Singularity Avoidance Algorithm for Robotic Arm Obstacle Avoida nce Based on an Improved Fast Marching Tree)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on robotics is the subject of a new report. According to news originating fromShenyang, People’s Republic of China, by NewsRx correspondents, research stated, “The quest for efficientand safe tr ajectory planning in robotic manipulation poses significant challenges, particul arly in complexobstacle environments where the risk of encountering singulariti es and obstacles is high.”

    Reports Outline Machine Learning Study Findings from Chaudhary Charan Singh Univ ersity (Fem-supported Machine Learning for Residual Stress and Cutting Force Ana lysis In Micro End Milling of Aluminum Alloys)

    13-14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 Machine Learning. According to news reportingfrom Uttar Pradesh, India, by News Rx journalists, research stated, “This study delves into a Bayesianmachine lear ning (ML) framework designed to comprehensively characterize cutting force and r esidualstress in the micro end milling process across a diverse range of alumin um alloys. The foundation of thisinvestigation rested on acquiring dependable t raining data through finite element method simulations,encompassing material pr operties and processing parameters as inputs, while the output targets includedresidual stress in both the transverse and cutting directions, as well as cuttin g force divided into feed forceand thrust force.”

    Findings from Jawaharlal Nehru University in Machine Learning Reported (Investig ating Forced Transient Chaos In Monsoon Using Echo State Networks)

    14-15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 Machine Learning. According to news reportingoriginating from New Delhi, India, by NewsRx correspondents, research stated, “Forecasting Indian SummerMonsoon R ainfall (ISMR) is a formidable task due to its intricate variability. This study harnesses thepower of machine learning (ML) to decipher the chaotic trajectory within ISMR, drawing inspiration fromML’s success in predicting analogous syst ems.”

    Findings in Artificial Intelligence Reported from Royal Melbourne Institute of T echnology - RMIT University (The Economic Institutions of Artificial Intelligenc e)

    15-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Artificial Intell igence are discussed in a new report. Accordingto news reporting originating fr om Melbourne, Australia, by NewsRx editors, the research stated, “Thispaper exp lores the role of artificial intelligence (AI) within economic institutions, foc using on boundedrationality as understood by Herbert Simon. Artificial Intellig ence can do many things in the economy,such as increasing productivity, enhanci ng innovation, creating new sectors and jobs, and improving livingstandards.”

    University of Windsor Reports Findings in Microcystis (Assessment of estrogenic potential from exudates of microcystin-producing and non-microcystin-producing M icrocystis by metabolomics, machine learning and E-screen assay)

    16-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine LearningDaily News Daily News – New research on Gram-Negative Bacteria - Microcystis is the subject of areport. According to news originating from Wi ndsor, Canada, by NewsRx correspondents, research stated,“Cyanobacterial blooms , often dominated by Microcystis aeruginosa, are capable of producing estrogeniceffects. It is important to identify specific estrogenic compounds produced by cyanobacteria, though thiscan prove challenging owing to the complexity of exud ate mixtures.”

    Study Findings on Machine Learning Discussed by Researchers at East China Jiaoto ng University (GDCP-YOLO: Enhancing Steel Surface Defect Detection Using Lightwe ight Machine Learning Approach)

    17-17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 originating fromNanchang, People’s Republi c of China, by NewsRx correspondents, research stated, “Surface imperfectionsin steel materials potentially degrade quality and performance, thereby escalating the risk of accidents inengineering applications. Manual inspection, while tra ditional, is laborious and lacks consistency.”

    New Findings Reported from Indian Institute of Technology (IIT) Patna Describe A dvances in Machine Learning (Improving Sensitivity of Trilinear R-parity Violati ng Susy Searches Using Machine Learning At the Lhc)

    18-18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 Bihar, India, by NewsRx journal ists, research stated, “In this work, we have explored the sensitivity ofmultil epton final states in probing the gaugino sector of a R-parity violating supersy mmetric scenario withspecific lepton number violating trilinear couplings (lamb da(ijk)) being nonzero. The gaugino spectrum issuch that the charged leptons in the final state can arise from the R-parity violating decays of the lightestsu persymmetric particle (LSP) as well as R-parity conserving decays of the next-to -LSP (NLSP).”

    New Artificial Intelligence Study Findings Reported from Virginia Polytechnic In stitute and State University (Virginia Tech) (Comprehensive Assessment of Artifi cial Intelligence Tools for Driver Monitoring and Analyzing Safety Critical Even ts ...)

    19-19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 Blacksburg, Virginia, by N ewsRx correspondents, research stated, “Human factors are a primarycause of veh icle accidents.”Financial supporters for this research include National Surface Transportation S afety Center For Excellence.