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    New Findings from Indian Institute of Information Technology in Robotics Provide s New Insights (Dynamic Head-on Robot Collision Avoidance Using Lstm)

    21-22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 reportingoriginating in Uttar Pradesh, India , by NewsRx journalists, research stated, “This paper proposes alearning-based algorithm to imitate the head-on obstacle avoidance behavior of humans by the mo bilerobot. Head-on collision avoidance is the most complex behavior where someo ne comes directly towardsthe robot and the robot only gets a limited time to av oid a collision.”

    University of Hawaii at Manoa Reports Findings in Artificial Intelligence (Perso nalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spik es Using Wearable Devices: Proposal for a Prospective Cohort Study)

    22-23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 out of Honolulu, Hawai i, by NewsRx editors, research stated, “Referred to as the ‘silent killer,’elev ated blood pressure (BP) often goes unnoticed due to the absence of apparent sym ptoms, resultingin cumulative harm over time. Chronic stress has been consisten tly linked to increased BP.”

    Recent Research from Indiana University Bloomington Highlight Findings in Machin e Learning (Machine Learning Predictions of Vertical Accretion In the Mississipp i River Deltaic Plain)

    23-24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 originatingfrom Bloomington, Indiana, by New sRx correspondents, research stated, “Deltaic landscapes consist of vastwetland systems that rely on sedimentation to maintain their elevation and ecological c ommunities againstrelative sea-level rise. In the Mississippi River Deltaic pla in, rising relative sea level and anthropogenicactivities are causing land loss that will continue unless vertical accretion of sediment on the wetlandsurface is enough to fill the accommodation space.”

    New Findings from Swinburne University of Technology in the Area of Robotics Des cribed (Adaptive Fuzzy Sliding Mode Control of Uncertain Nonholonomic Wheeled Mo bile Robot With External Disturbance and Actuator Saturation)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Data detailed on Robotics have been presented. Ac cording to news reporting from Hawthorn,Australia, by NewsRx journalists, resea rch stated, “This paper developed a modified barrier function -basedadaptive sl iding mode control (MBFASMC) method to improve the tracking precision and robust ness performance of the nonholonomic wheeled mobile robot (NWMR), which is subje ct to actuator saturationand external disturbance. Owing to the modified positi ve semi -definite barrier function (MPSDBF), therequirement for disturbance bou nd and the overestimation of control gain are eliminated.”

    Researchers from Lancaster University Report Findings in Artificial Intelligence (Fandom Meets Artificial Intelligence: Rethinking Participatory Culture As Huma n-community-machine Interactions)

    25-26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 reporting outof Lancaster, United Kingdom, by NewsRx editors, research stated, “Fandom as an interpretive communityis the frontier for rich insights into the multi-layered interactions and practices be tween individual users,communities and intelligent machines. To understand the challenges and opportunities Artificial Intelligence(AI) presents to contempora ry media and culture, we discuss how fans engage with AI, as fandom providesmea ningful insights into interactions between individual technology users, the coll ective and machines.”

    Flinders University Researchers Describe Findings in Machine Learning (Infra-Red Imaging to Detect Respirator Leak in Healthcare Workers During Fit-Testing Clin ic)

    26-27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 Flinders University by New sRx correspondents, research stated, “This study addressed the problemof object ively detecting leaks in P2 respirators at point of use, an essential component for healthcareworkers’ protection.”

    Royal Hobart Hospital Reports Findings in Artificial Intelligence (Using artific ial intelligence to predict choledocholithiasis: can machine learning models aba te the use of MRCP in patients with biliary dysfunction?)

    27-28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 originating in Hobart, Australia, by NewsRx journalists, research stated, “Prompt diagnosis ofcholedo cholithiasis is crucial for reducing disease severity, preventing complications and minimizing lengthof stay. Magnetic resonance cholangiopancreatography (MRCP ) is commonly used to evaluate patientswith suspected choledocholithiasis but i s expensive and may delay definitive intervention.”

    Researchers’ Work from Dalian University of Technology Focuses on Machine Learni ng (An Interpretable Automated Feature Engineering Framework for Improving Logis tic Regression)

    28-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Dalian, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Although bl ack -box models such as ensemble learning models often provide better predictive performancethan intrinsic interpretable models such as logistic regression, bl ack -box models are not still applicabledue to the lack of interpretability. Re cently, there has been an explosion of work on explainable machinelearning tech niques, which utilize external algorithms or models to explain the behavior of b lack -boxmodels.”

    Research Data from University of Aveiro Update Understanding of Machine Learning (Aircraft Structural Design and Life-Cycle Assessment through Digital Twins)

    29-30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 reportingout of Aveiro, Portugal, by N ewsRx editors, research stated, “Numerical modeling tools are essential inaircr aft structural design, yet they face challenges in accurately reflecting real-wo rld behavior due tofactors like material properties scatter and manufacturing-i nduced deviations.”

    Research on Machine Learning Reported by Researchers at International Islamic Un iversity Islamabad (Accurate Wheat Yield Prediction Using Machine Learning and C limate-NDVI Data Fusion)

    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 artificial intelligence. According to news reportingout of Islamabad, Pakistan, by NewsRx editors, research stated, “Due to exponential population growth,clim ate change, and an increasing demand for food, there is an unprecedented need fo r a timely, precise,and dependable assessment of crop yield on a large scale. W heat, a staple crop worldwide, requiresaccurate and prompt prediction of its ou tput for global food security.”