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Robotics & Machine Learning Daily News

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    We may be overestimating the association between gut bacteria and disease, machi ne learning study finds

    1-2页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer,are associated with an overg rowth of gut bacteria thought to be bad actors. But when researchers useda mach ine learning algorithm to predict the density of microbes-called microbial load, from their gutmicrobiomes, they found that changes in microbial load, rather t han the disease, could be a driver behindthe presence of disease-associated mic robial species.
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    Research from Hong Kong Polytechnic University Broadens Understanding of Machine Learning (An improved machine learning-based model for prediction of diurnal an d spatially continuous near surface air temperature)

    2-2页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Hong Kong Polytechnic University by NewsRx correspondents, research stated, “Nearsurfaceair tempera ture (Tair) is crucial for assessing urban thermal conditions and their impact o nhuman health.”
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    Findings from Metals & Materials Engineering Department in Machine Learning Reported (An Experimental Investigation and Predictive Modeling Using Machine Learning Technique for Reclamation of Metal Values From Scrap Ndfeb Magn ets)

    3-4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 tonews reporting from Jamshedpur, India, by NewsRx journalists, research stated, “Neodymium-Iron-Boron(NdFeB) magnets are w idely used in various industries due to their exceptional magnetic properties, s uchas high coercivity, remanence, and maximum energy product. These magnets con sist of rare earth elements(REEs) viz., neodymium (Nd), praseodymium (Pr), and Dysprosium (Dy), along with other metals.”
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    Study Findings on Machine Learning Are Outlined in Reports from Polytechnic Univ ersity Torino (Optimizing Solid Rocket Missile Trajectories: A Hybrid Approach U sing an Evolutionary Algorithm and Machine Learning)

    4-4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 fromTurin, Italy, by NewsRx corresp ondents, research stated, “This paper introduces a novel approach formodeling a nd optimizing the trajectory and behavior of small solid rocket missiles.”
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    Study Results from Swiss Federal Institute of Technology Zurich (ETH) Provide Ne w Insights into Machine Learning (Discussing the spectrum of physics-enhanced ma chine learning: a survey on structural mechanics applications)

    5-5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 originatingfrom Zurich, Switzerland, b y NewsRx correspondents, research stated, “The intersection of physics andmachi ne learning has given rise to the physics-enhanced machine learning (PEML) parad igm, aiming toimprove the capabilities and reduce the individual shortcomings o f data- or physics-only methods.”
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    Findings from University of Modena and Reggio Emilia Update Understanding of Rob otics (A Minimum-jerk Approach To HandleSingularities In Virtual Fixtures)

    5-6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 reporting outof Modena, Italy, by NewsRx editors, re search stated, “Implementing virtual fixtures in guiding tasksconstrains the mo vement of the robot’s end effector to specific curves within its workspace. Howe ver, incorporating guiding frameworks may encounter discontinuities when optimiz ing the reference targetposition to the nearest point relative to the current r obot position.”
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    Study Results from Southeast University Update Understanding of Robotics (Tightl y Coupled LIDAR/IMU/UWB Fusion via Resilient Factor Graph for Quadruped Robot Po sitioning)

    6-7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 robotics. According to news reporting out ofNanjing, People’s Republic of China , by NewsRx editors, research stated, “Continuous accurate positioningin global navigation satellite system (GNSS)-denied environments is essential for robot n avigation.”
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    Findings on Machine Learning Reported by Investigators at Shandong University (A Review On Application of Machine Learningbased Methods for Power System Inerti a Monitoring)

    7-8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 tonews originating from Jinan, People’s Repu blic of China, by NewsRx correspondents, research stated,“The modernization of electrical power systems is reflected through the integration of renewable energ yresources, with the ultimate aim of creating a carbon-neutral world. However, this goal has brought newand complex challenges for the power system, with one of the most crucial issues which is the reductionof system inertia.”
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    Reports from University of California Davis Describe Recent Advances in Robotics (Assessing a Multi-camera System To Enhance Fruit Visibility for Robotic Harves ting In a V-trellised Apple Orchard)

    8-9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 Robotics. According to news reporting from Davis,California, by NewsRx journali sts, research stated, “Accurate detection and localization of fruits within thecanopy are crucial for various tasks, such as perception for robotic harvesters, vision-based yield estimation,and early disease detection. However, complex ca nopy structures render fruit detection challenging dueto obstructions from leav es, branches, and other fruits.”
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    New Findings from North Arizona University in Robotics Provides New Insights (Pr iming Robotic Plantarflexor Resistance With Assistance To Improve Ankle Power Du ring Exoskeleton Gait Training)

    9-10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 Flagstaff, Arizona, by NewsRx editors, research stated, “Robotic exoskeletons are increasingly beingused for gait rehabilitation in individuals with neuromuscular disorders, such as cerebr al palsy (CP). Aprimary rehabilitation goal for those with CP is to improve ank le push-off power, which is crucial forenhancing gait function.”
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