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    Study Results from Wuhan University Broaden Understanding of Robotics (Dynamic D eformation Measurement of Bionic Flappingwing Robot Based On Fiber Bragg Gratin g Array)

    58-58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 fromWuhan, People’s Republic of China, by NewsRx correspondents, research stated, “The deformation characteristicsof the flapping wings are crucial to the enhancement of flight robot performance. In m easuringwing deformation with conventional stereo vision and structured light p rojection, issues such as occlusionand limited field of view exist.”

    Data on Machine Learning Detailed by Researchers at Polytechnic University Milan (Predicting Bovine Daily Milk Yield By Leveraging Genomic Breeding Values)

    59-60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 Milan, Italy, by NewsRx jo urnalists, research stated, “The main goal of this work, conducted ona herd of 502 Holstein cows situated in Italy, is to propose a machine learning-based appr oach to forecastthe individual bovine daily milk production by explicitly lever aging genotypic information. As part of ourstudy, we also evaluated the importa nce in the prediction of genotypic and phenotypic variables usuallyavailable wi thin herd.”

    Researchers at University College London (UCL) Release New Data on Robotics (An End-to-end Deep Reinforcement Learning Based Modular Task Allocation Framework f or Autonomous Mobile Systems)

    60-61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 from London, United Kingd om, by NewsRx correspondents, research stated, “Intelligentdecision-making syst ems that can solve task allocation problems are critical for multi-robot systems toconduct industrial applications in a collaborative and automated way, such a s warehouse inspection usingmobile robots, hydrographic surveying using unmanne d surface vehicles, etc. This paper, therefore, aimsto address the task allocat ion problem for multi-agent autonomous mobile systems to autonomously andintell igently allocate multiple tasks to a fleet of robots.”

    Recent Findings from Lund University Provides New Insights into Machine Learning [Machine Learning Regression Analyses of IntensityModulatio n Two-photon Microscopy (Ml-im2pm) In Perovskite Microcrystals]

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating fromLund, Sweden, by NewsRx correspondents, research stated, “Perovskite thin films hold great promise foroptoelectronic ap plications, such as solar cells and light-emitting diodes. One challenge is the inevitableformation of defects in the material.”

    Nanchang University Reports Findings in Pheochromocytoma (Ctbasedradiomics res earch for discriminating the risk stratification of pheochromocytoma using diffe rent machine learning models: a multi-center study)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Pheochromocytoma is th e subject of a report. According to newsreporting from Jiangxi, People’s Republ ic of China, by NewsRx journalists, research stated, “The purposeof this study was to explore and verify the value of various machine learning models in preope rative riskstratification of pheochromocytoma. A total of 155 patients diagnose d with pheochromocytoma throughsurgical pathology were included in this researc h (training cohort: n = 105; test cohort: n = 50); the riskstratification scori ng system classified a PASS score of <4 as low risk and a PASS score of 4 as high risk.”

    Study Results from Northwest A&F University Provide New Insightsin to Machine Learning (Early-season Estimation of Winter Wheat Yield: a Hybrid Mac hine Learning-enabled Approach)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Yangling, Peop le’s Republic of China, by NewsRx journalists, research stated,“Accurate crop y ield forecasting can help stakeholders take effective measures in advance to avo idpotential grain supply risks. However, currently, yield forecasts are mostly made close to harvest (e.g. 1-3months before harvest for Chinese winter wheat), which gives stakeholders a relatively short time to react,decide, and interven e.”

    Studies from Beijing University of Technology Have Provided New Information abou t Robotics (Research On Chinese Scraping Automation Based On Sensor-fusion Metho d)

    64-65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 from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “As a crucialtraditional C hinese medicine practice in nursing rehabilitation, the professional gua sha can help to relievethe diseases with the theory of meridians and acupoints. Yet, t he automation of gua sha faces several challengessuch as insufficient sensor in formation, meridian quantification, and professional Chinese medicineknowledge. ”

    Data from Indian Institute of Technology Roorkee Advance Knowledgein Self-Drivi ng Cars (Machine Learning for Autonomous Vehicle’sTrajectory Prediction: a Comp rehensive Survey, Challenges, and Future Research Directions)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on Transportation - Self-Drivin g Cars are discussed in a new report. Accordingto news reporting originating fr om Roorkee, India, by NewsRx correspondents, research stated, “Thesignificant c ontribution of human errors, accounting for approximately 94% (wit h a margin of +/- 2.2%),to road crashes leading to casualties, veh icle damages, and safety concerns necessitates the exploration ofalternative ap proaches. Autonomous Vehicles (AVs) have emerged as a promising solution by repl acinghuman drivers with advanced computer -aided decision -making systems.”

    Findings from Free University Bolzano in the Area of Robotics Described (Out of the Way, Human! Understanding Post-adoption of Last-mile Delivery Robots)

    66-67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 fromBolzano, Italy, by NewsRx corresponde nts, research stated, “The pace of technological development isexceeding expect ations and transforming the landscape of last-mile delivery. This study investig ates howusers’ post-adoption behavior in using delivery robots is formed.”

    Beijing University of Technology Reports Findings in Machine Learning(ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein-DNA Interact ion Hotspots)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Protein-DNAinteractions a re pivotal to various cellular processes. Precise identification of the hotspot residues forprotein-DNA interactions holds great significance for revealing the intricate mechanisms in protein-DNArecognition and for providing essential gui dance for protein engineering.”