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    Findings from Center for Advanced Studies Provides New Data about Machine Learni ng (Decentralised Coordination In Swarm Robots Through Xgboost-enhanced Colour L ight Communication)

    38-39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 Lucknow, India, by NewsRx e ditors, research stated, “Inspired by natural swarm systems, robotic swarms aim to solve complicated problems through the emergent behaviour of coordinating rob ots (agents).Communication among the robots is of paramount importance for thei r effective coordination, cooperation,and overall performance.”

    Study Results from Yantai University Update Understanding of Robotics (Magnetica lly Controlled Millipede Inspired Soft Robot for Releasing Drugs On Target Area In Stomach)

    39-40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 reportingout of Yantai, People’s Republic of China, by NewsRx editors, research stated, “In recent years, developingsoft ro bots capable of conducting various in vivo clinical operations under remote wire less drive hasemerged as a popular topic of research in the biomedical field. A lthough flexible and versatile soft robotshave been developed, they can only be driven on certain surfaces, and the environments they can workunder are limite d.”

    Research from Bauman Moscow State Technical University Provides New Study Findin gs on Artificial Intelligence (Route planning of autonomous robots in three-dime nsional logic space using mivar technologies)

    40-41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 ar tificial intelligence. According to news reportingfrom Bauman Moscow State Tech nical University by NewsRx journalists, research stated, “The paperdescribes an approach to using mivar technologies for planning three-dimensional robot route s, taking intoaccount the given obstacles.”

    Researchers’ Work from China University of Mining and Technology Focuses on Mach ine Learning (Machine Learning Prediction of Perovskite Sensors for Monitoring t he Gas In Lithium-ion Battery)

    41-41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 reportingoriginating in Jiangsu, People’s Rep ublic of China, by NewsRx journalists, research stated, “Roomtemperaturegas-se nsitive materials are urgently needed for lithium-ion battery monitoring to ensu re thesafety of battery. In this work, we proposed a strategy for predicting ga s-sensitive materials to sense gasin lithium-ion batteries by the combination o f machine learning and ab initio calculations.”

    Department of Management Researcher Provides New Study Findings on Artificial In telligence (Application of artificial intelligence control in the control system of cooling and heating energy stations)

    42-42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 artific ial intelligence. According to news reportingoriginating from Jiangxi, People’s Republic of China, by NewsRx correspondents, research stated, “In orderto unde rstand the application of artificial intelligence in the control system of cold and hot energy station,the author proposes a research based on artificial intel ligence control in the control system of cooling andheating energy station.”

    University of Eastern Finland Reports Findings in Heart Disease (Enhancing predi ction accuracy of coronary artery disease through machine learning-driven genomi c variant selection)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Heart Disorders and Diseases - He art Disease is the subject of a report. Accordingto news reporting originating in Kuopio, Finland, by NewsRx journalists, research stated, “Machine learning(M L) methods are increasingly becoming crucial in genome-wide association studies for identifying keygenetic variants or SNPs that statistical methods might over look. Statistical methods predominantlyidentify SNPs with notable effect sizes by conducting association tests on individual genetic variants, oneat a time, t o determine their relationship with the target phenotype.”

    Researchers’ Work from University of Miskolc Focuses on Robotics (Non-destructiv e Texture Characterization By a Robot-arm-driven X-ray Diffractometer)

    44-45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 newsreporting originating from Miskolc, Hun gary, by NewsRx correspondents, research stated, “The mostcommon methods for te xture characterization require cutting a coupon to be inserted into an X-ray texture goniometer or an electron microscope and are, therefore, destructive. Howev er, there are many caseswhere texture characterization needs to be performed in a non-destructive way, where the measurementcan be made without damaging the o bject.”

    New Machine Learning Study Results Reported from University of Paris (A Statisti cal Method for the Attribution of Change-points In Segmented Integrated Water Va por Difference Time Series)

    45-46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 Paris, France, by NewsRx jour nalists, research stated, “Many segmentation or change-point detectionmethods f or homogenizing climate time series compare candidate station data with referenc e data toeliminate common climate signals and more efficiently detect spurious, non-climatic changes. One drawbackis that it is difficult to decide whether th e detected change-point is due to the candidate series or to thereference.”

    New Findings from Michigan State University in the Area of Brain- Based Devices P ublished (Flexible high-density microelectrode arrays for closed-loop brain-mach ine interfaces: a review)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on brain-based devic es are discussed in a new report. Accordingto news reporting originating from E ast Lansing, Michigan, by NewsRx correspondents, research stated,“Flexible high -density microelectrode arrays (HDMEAs) are emerging as a key component in close dloopbrain-machine interfaces (BMIs), providing high-resolution functionality for recording, stimulation, orboth.”

    Findings in Machine Learning Reported from Northeastern University (Self-powered Multimodal Sensing Using Energy-generating Solar Skin for Robotics and Smart We arables)

    47-48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 out of Boston, Massachusett s, by NewsRx editors, research stated, “Wearable electronic devicesladensystem s such as electronic-skin (e-Skin) have been explored in recent years to enable advances in applications such as Internet of Things, healthcare, and robotics. T he power requirement of multitudesof devices in the e-Skin is a major hurdle fo r its wider uptake.”