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    New Findings from Auburn University in Machine Learning Provides New Insights (M achine Learning-enabled Prediction and Optimization of Hardness for Nb-ti-v-zr R efractory High Entropy Alloy)

    30-31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 reportingout of Auburn, Alabama, by NewsRx editors, research stated, “High entropy alloy (HEA) design strategieshave been limited to experimental trial -and -error approaches. However, due to the vast c ompositionalspace of HEAs, efficiently discovering new HEAs with exceptional pe rformance using trial -and -errormethodology is time-consuming and challenging. ”

    Virginia Commonwealth University Reports Findings in Artificial Intelligence (Ad vancements in computer vision and pathology: Unraveling the potential of artific ial intelligence for precision diagnosis and beyond)

    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 Artificial Intelligenc e is the subject of a report. According to newsreporting from Richmond, Virgini a, by NewsRx journalists, research stated, “The integration of computervision i nto pathology through slide digitalization represents a transformative leap in t he field’s evolution.Traditional pathology methods, while reliable, are often t ime-consuming and susceptible to intra- andinterobserver variability.”

    Recent Studies from Gansu Agricultural University Add New Data to Machine Learni ng (Application of an Electronic Nose for the Diagnosis of Ketosis In Dairy Cows )

    32-32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 fromGansu, People’s Republic of China, by NewsRx correspondents, research stated, “Ketosis in dairy cowsis a nutritio nal and metabolic disease that severely affects the milk industry and dairy cow health. Anelectronic nose can identify volatile organic compounds (VOCs).”

    Investigators at Dalian University of Technology Describe Findings in Robotics ( Chatter Prediction for Parallel Mirror Milling of Thinwalled Parts By Dual-robo t Collaborative Machining System)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics have been pr esented. According to news originating fromDalian, People’s Republic of China, by NewsRx correspondents, research stated, “Thin-walled parts withdouble-sided features are widely used in the aerospace industry, but the machining of such pa rts stillfaces great challenges due to their weak rigid structure and the posit ioning errors caused by turning/reclampingof the workpiece. For this purpose, a novel machining approach for parallel mirror robotic millingof thin-walled pa rts is proposed.”

    Reports from Anhui Agricultural of University Provide New Insights into Machine Learning (Evapotranspiration, Water Use Efficiency, and Yield for Film Mulched M aize Under Different Nitrogenfertilization Rates and Climate Conditions)

    34-35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 in Hefei, People’s Rep ublic of China, by NewsRx journalists, research stated, “The biodegradablefilm, as an ideal substitute for plastic film, has broad application prospects. Howev er, it is uncertainin maize actual evapotranspiration (ET ac ) components, yiel d, and water use efficiency (WUE) ofbiodegradable and plastic films during the different rainfall seasons.”

    Findings in the Area of Robotics Reported from Tsinghua University (Development of a Novel Cable-driven Parallel Robot for Full-cycle Ankle Rehabilitation)

    35-36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 reporting from Beijing,People’s Republic of China, by NewsRx journalists, research stated, “Automatic rehabilitation equipmentprovid es timely and effective rehabilitation training, which is critical in accelerati ng the recovery of jointinjury and motion function. This paper proposes a novel cable-driven parallel robot for full-cycle anklerehabilitation considering lar ge angle, considerable moment, and multi-degree of freedom coupling.”

    Researchers from Aristotle University of Thessaloniki Report Findings in Machine Learning (Storm Surge Modeling In the Ai Era: Using Lstm-based Machine Learning for Enhancing Forecasting Accuracy)

    36-37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 in Thessaloniki , Greece, by NewsRx journalists, research stated, “Physics simulationresults of natural processes usually do not fully capture the real world. This is caused f or instance by limitsin what physical processes are simulated and to what accur acy.”

    Data on HIV/AIDS Reported by Zhi Zhen Qin and Colleagues (Computer-aided detecti on of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially availabl e ...)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Immune System Diseases and Conditions - HIV/AIDS is the subject ofa report. According to news reporti ng originating from Geneva, Switzerland, by NewsRx correspondents,research stat ed, “Computer-aided detection (CAD) can help identify people with active tubercu losisleft undetected. However, few studies have compared the performance of com mercially available CADproducts for screening in high tuberculosis and high HIV settings, and there is poor understanding ofthreshold selection across product s in different populations.”

    Investigators from Federal University Goias Have Reported New Data on Machine Le arning (Application of Confocal Laser Microscopy for Identification of Modern an d Fossil Pollen Grains, an Example In Palm Mauritiinae)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news reportingout of Goiania, Brazil, by NewsRx e ditors, research stated, “Confocal scanning laser microscopy (CSLM) isbecoming a powerful tool for palynological studies. CSLM allows palynomorph image section ing, internaland surface structures visualization, and 3D reconstruction at a h igher resolution than standard lightmicroscopy without extra processing.”

    New Robotics Study Findings Have Been Reported by Investigators at University of Lisbon (Hotspot: an Ad Hoc Teamwork Platform for Mixed Human-robot Teams)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subjec t of a report. According to news reportingoriginating in Lisbon, Portugal, by N ewsRx journalists, research stated, “Ad hoc teamwork is a researchtopic in mult i-agent systems whereby an agent (the ‘ad hoc agent’) must successfully collabor ate witha set of unknown agents (the ‘teammates’) without any prior coordinatio n or communication protocol.However, research in ad hoc teamwork is predominant ly focused on agent-only teams, but not on agenthumanteams, which we believe i s an exciting research avenue and has enormous application potential inhuman-ro bot teams.”