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    Researchers at University of Cincinnati Release New Data on Machine Learning (To ward Large-scale Riverine Phosphorus Estimation Using Remote Sensing and Machine Learning)

    40-41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 outof Cincinnati, Ohio, by NewsRx editor s, research stated, “Phosphorus pollution is a major water qualityissue impacti ng the environment and human health. Traditional methods limit the frequency and extentof total phosphorus (TP) measurements across many rivers.”

    New Findings from Concordia University Describe Advances in Machine Learning (Su bspace Graph Networks for Real-time Granular Flow Simulation With Applications T o Machine-terrain Interactions)

    41-42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 Machine Learning. According to news reporting fromMontreal, Canada, by NewsRx journali sts, research stated, “Granular flows interacting with rigid bodiesare key to m achine-terrain interactions in robotics and related fields, and still pose sever al open problems.Continuum methods and deep learning, separately and in combina tion, show promise.”

    Studies Conducted at Department of Engineering on Artificial Intelligence Recent ly Published (Artificial Intelligence Enabling Denoising in Passive Electronic F iltering Circuits for Industry 5.0 Machines)

    42-42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 new report. According to newsreporting originating from B ari, Italy, by NewsRx correspondents, research stated, “The paper proposesan in novative model able to predict the output signals of resistance and capacitance (RC) low-pass filtersfor machine-controlled systems.”

    Reports Summarize Machine Learning Study Results from Heriot- Watt University (A Variational Autoencoder for Minimallysupervised Pulse Shape Discrimination)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Edinburgh, Uni ted Kingdom, by NewsRx editors, research stated, “We propose anovel approach ba sed on variational autoencoder with Gaussian mixture latent space (GMVAE) to address the challenging problem of pulse shape discrimination (PSD) in organic scin tillators, in the presenceof pile up. Unlike deterministic charge integration, which is very sensitive to pulse -processing parameters,the GMVAE performances are robust against variations of the hyperparameters.”

    Recent Findings from Zhejiang University Provides New Insights into Robotics and Automation (Towards Dense and Accurate Radar Perception Via Efficient Cross-mod al Diffusion Model)

    44-45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 - Robotics and Automation are presented in a new report. According to news reporting out of Han gzhou, People’s Republic of China, by NewsRx editors, researchstated, “Millimet er wave (mmWave) radars have attracted significant attention from both academia andindustry due to their capability to operate in extreme weather conditions. H owever, they face challengesin terms of sparsity and noise interference, which hinder their application in the field of micro aerial vehicle(MAV) autonomous n avigation.”

    Study Findings on Machine Learning Reported by Researchers at Telecommunications University (Survey And Proposed Method To Detect Adversarial Examples Using An Adversarial Retraining Model)

    44-44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 news reportingfrom Telecommunications Univ ersity by NewsRx journalists, research stated, “Artificial intelligence (AI)has found applications across various sectors and industries, offering numerous adv antages to humanbeings.”

    Researchers from Southwest University Report Findings in Computational Intellige nce (Asynchronous Distributed Nonsmooth Composite Optimization Via Computation-e fficient Primal-dual Proximal Algorithms)

    45-46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 - Computational Intelligence. According tonews originating from Chongqing, People’s Republic of China, by NewsRx correspondents, research stated,“This pap er focuses on a distributed nonsmooth composite optimization problem over a mult iagentnetworked system, in which each agent is equipped with a local Lipschitz- differentiable function and twopossibly nonsmooth functions, one of which incor porates a linear mapping. To address this problem, weintroduce a synchronous di stributed algorithm featuring uncoordinated relaxed factors.”

    Reports from Guilin University of Technology Highlight Recent Findings in Roboti cs (Watermelon Detection and Localization Technology Based On Gtr-net and Binocu lar Vision)

    46-47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 Robotics is now availab le. According to news reporting out of Guilin,People’s Republic of China, by Ne wsRx editors, research stated, “While picking robots aim to address this,the co mplex growth environment poses challenges in identifying and locating fruits due to factors, suchas light and leaf occlusion. This study focuses on designing a recognition and localization method tailoredto the natural growth conditions o f melons and fruits, aiming to provide precise positional information foreffect ive harvesting.”

    Recent Findings from Federal University Rio Grande do Sul Provides New Insights into Machine Learning (Analysis and Comparison of Feature Selection Methods Towa rds Performance and Stability)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating in Porto Alegre, Brazil, by NewsRx journalists, research stated, “The amount of gathered datais increasing at unprecedented rates for machine learning applications such as natural languag e processing,computer vision, and bioinformatics. This increase implies a highe r number of samples and features; thus,some problems regarding highly dimension al data arise.”

    National Research Council (CNR) Details Findings in Machine Learning (Machine Le arning-based Digital Twin of a Conveyor Belt for Predictive Maintenance)

    48-49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 Bari, Italy, b y NewsRx journalists, research stated, “The problem of achieving agood maintena nce plan is well-known in the modern industry. One of the most promising approac hesis predictive maintenance, which schedules interventions based on prediction s made by collecting andanalyzing data from the process.”