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    S.N. Bose National Center for Basic Sciences Details Findings in Machine Learnin g (Development of a Semi-supervised Machine Learning Based Noise Filter for Quan tum Cascade Laser-coupled Mid-infrared Spectrometer)

    117-118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 Machine Learning is now available. According to news reportingoriginating in Kolkata, India, by NewsRx journalists, research stated, “The rapid and accurate quantitativedeterminatio n of molecular rovibrational spectral features is highly desirable for applicati ons in fundamentalhigh-resolution spectroscopy, trace chemical sensing, and env ironmental monitoring. But significantspectral noise can impede the accuracy an d precision of such spectral measurements as well as the preciseclassification of fine and hyperfine spectral fingerprints.”

    Research from Technical University Munich (TU Munich) Provides New Data on Robot ics (Influences of different parameters on selected properties of gears for robo t-like systems)

    118-119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 robotic s. According to news reporting out of Munich,Germany, by NewsRx editors, resear ch stated, “For a drive unit for axes of robots and robot-like systems(RLS) usu ally a motor-gearbox arrangement is chosen due to its high-power density. The co mbinationof a high-ratio gearbox and a high-speed electric motor ensures a very compact and efficient design of thedrive train.”

    New Findings from University of Sydney Describe Advances in Robotics (Reduced-sc ale Mobile Robots for Autonomous Driving Research)

    119-119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 originating fromSydney, Australia, by NewsRx corres pondents, research stated, “Reduced-scale mobile robots (RSMRs)are extensively used for studying autonomous driving due to their ability to test models and alg orithmsin physical environments, their lack of constraints related to regulatio ns and laws, and their advantagesof low cost and space-saving. Nevertheless, th ere is currently a lack of systematic analysis and review ofthese autonomous dr iving studies involving RSMRs.”

    Fifth Affiliated Hospital of Sun Yat-sen University Reports Findings in Heart Fa ilure (Prediction of 90 day readmission in heart failure with preserved ejection fraction by interpretable machine learning)

    120-120页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Heart Disorders and Di seases - Heart Failure is the subject of areport. According to news reporting o ut of Zhuhai, People’s Republic of China, by NewsRx editors,research stated, “C ertain critical risk factors of heart failure with preserved ejection fraction ( HFpEF)patients were significantly different from those of heart failure with re duced ejection fraction (HFrEF)patients, resulting in the limitations of existi ng predictive models in real-world situations. This studyaimed to develop a mac hine learning model for predicting 90 day readmission for HFpEF patients.”

    University of Verona Reports Findings in Neurosurgical Procedures (Machine learn ing allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures)

    121-122页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Neurosurgica l Procedures is the subject of a report.According to news reporting out of Vero na, Italy, by NewsRx editors, research stated, “To develop andevaluate machine learning (ML) approaches for muscle identification using intraoperative motor ev okedpotentials (MEPs), and to compare their performance to human experts. There is an unseized opportunityto apply ML analytic techniques to the world of intr aoperative neuromonitoring (IOM).”

    Researchers at Ohio State University Have Reported New Data on Artificial Intell igence (Artificial Intelligence Enables Unified Analysis of Historical and Lands cape Influences On Genetic Diversity)

    122-122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 Artificial In telligence have been published. According tonews reporting originating in Colum bus, Ohio, by NewsRx journalists, research stated, “While geneticvariation in a ny species is potentially shaped by a range of processes, phylogeography and lan dscapegenetics are largely concerned with inferring how environmental condition s and landscape features impactneutral intraspecific diversity. However, even a s both disciplines have come to utilize SNP data over thelast decades, analytic al approaches have remained for the most part focused on either broad-scale inferences of historical processes (phylogeography) or on more localized inferences about environmental and/orlandscape features (landscape genetics).”

    Montana State University Reports Findings in Machine Learning (Investigating and Mitigating the Performance-fairness Tradeoff Via Protected-category Sampling)

    123-123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 Bozeman, Montana, by NewsRx editors, research stated, “Machine learning algorithmshave become commo n in everyday decision making, and decision-assistance systems are ubiquitous in oureveryday lives. Hence, research on the prevention and mitigation of potenti al bias and unfairness of thepredictions made by these algorithms has been incr easing in recent years.”

    Department of Urology Reports Findings in Nephrectomy (Onclamp vs off-clamp rob ot-assisted partial nephrectomy for achieving modified trifecta: inverse probabi lity of treatment weighting analysis from a high-volume tertiary robotic center)

    124-124页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgery - Nephrectomy is the subject of a report. According tonews reporting originating from Aalst, Belgium, by NewsRx correspondents, research stated, “On-clamppartial nephrectom y for the surgical treatment of renal masses poses the risk of ischemia and grea terpost-operative renal function loss. Conversely, the off-clamp technique migh t enhance renal functionpreservation by avoiding any ischemia time.”

    Tianjin Chengjian University Details Findings in Robotics (Indoor Mobile Robot L ocalization Applying Imu/stereo Camera/lidar and Graph-based Optimization)

    125-125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 Robotic s. According to news originating from Tianjin,People’s Republic of China, by Ne wsRx correspondents, research stated, “The navigation and positioningsystem of mobile robots using multisensor fusion has become a research hotspot in the aspe cts of highaccuracy, low computational complexity, and strong stability. In ord er to improve the accuracy of sensorasynchronous information fusion and meet th e application requirements of geometric structure featuredegradation in warehou sing logistics, an adaptive weighted factor graph (AWFG) positioning method using inertial measurement unit (IMU), LiDAR, and stereo camera is proposed.”

    Studies from University of Bologna Have Provided New Information about Robotics (Pose-estimation Methods for Underactuated Cable-driven Parallel Robots)

    126-126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 originatingin Bologna, Italy, by NewsRx j ournalists, research stated, “Cable -Driven Parallel Robots ( CDPRs ) displacet he end -effector ( EE ) by means of cables configured in a parallel fashion. Whe n a CDPR employs fewercables than the degrees of freedom ( DoFs ) of its EE, it is underactuated and underconstrained.”