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    Studies from Purdue University in the Area of Machine Learning Described (Implem entation of supervised machine learning classification for detection and severit y determination of electrified power train noise and vibration fault diagnosis)

    38-39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 originating fromPurdue University by NewsR x editors, the research stated, “Vehicles equipped with electrified powertrainsproduce lower sound and vibration levels compared to those equipped with interna l combustion enginepowertrains. This makes noise and vibration (N& V) from other non-engine components more perceptible.”

    Research from Harbin Engineering University Has Provided New Study Findings on R obotics (Underwater Unsupervised Stereo Matching Method Based on Semantic Attent ion)

    39-40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 originatingfrom Harbin, People’s Republic of China, by NewsRx editors, the research stated, “A stereo vision systemprovides important support for underwater robots to achieve autonomous navigation, obstac le avoidance,and precise operation in complex underwater environments.”

    Recent Studies from Shandong University Add New Data to Robotics (Robot Mapless Navigation In Vuca Environments Via Deep Reinforcement Learning)

    40-41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 reportingoriginating in Jinan, People’s Repub lic of China, by NewsRx journalists, research stated, “Mobile robotsoperating i n unknown social environments demand the ability to navigate among crowds and ot her obstaclesin a safe and socially compliant manner without prior maps. This w ork proposes a deep reinforcementlearning framework for robot mapless navigatio n in such unknown congested and cluttered scenarios.”

    Studies from San Diego State University Update Current Data on Machine Learning (A Hydrologic Signature Approach To Analysing Wildfire Impacts On Overland Flow)

    43-44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 from San Diego, California, by NewsRx correspondents, research stated, “Post-fire flooding anddebris flows are often triggered by increased overland flow resulting from wildfire impacts o n soil infiltrationcapacity and surface roughness. Increasing wildfire activity and intensification of precipitation with climatechange make improving underst anding of post-fire overland flow a particularly pertinent task.”

    Data on Machine Learning Described by Researchers at Ocean University of China ( Identifying decadal trends in deweathered concentrations of criteria air polluta nts in Canadian urban atmospheres with machine learning approaches)

    44-45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 Qingdao, People’s Rep ublic of China, by NewsRx editors, the research stated, “Thisstudy investigates long-term trends of criteria air pollutants, including NO [ [2] ] , CO, SO [ [2] ] , O [ [3]] and PM [ [2.5] ] , and O [ [* * x* * ] ] (meaning NO [ [2] ] +O [ [3] ] ) measured in 10 Canadiancities during the last 2 to 3 decades. We also investi gated associated driving forces in terms of emissionreductions, perturbations d ue to varying weather conditions and large-scale wildfires, as well as changes in O [ [3] ] sources and sinks.”

    New Artificial Intelligence Findings from Aalborg University Published (Landscap e and challenges in economic evaluations of artificial intelligence in healthcar e: a systematic review of methodology)

    46-47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 Aalborg University by NewsRx correspondents, research stated, “The potential for artificial intelligence (AI) to transform healthcare cannot be ignored, and the development of AI tec hnologies has increasedsignificantly over the past decade. Furthermore, healthc are systems are under tremendous pressure, andefficient allocation of scarce he althcare resources is vital to ensure value for money.”

    Data on Machine Learning Discussed by Researchers at University of Illinois (Lea rning-assisted Fast Determination of Regularization Parameter In Constrained Ima ge Reconstruction)

    47-48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 reportingfrom Urbana, Illinois, by NewsRx journal ists, research stated, “To leverage machine learning (ML) forfast selection of optimal regularization parameter in constrained image reconstruction. Constraine d imagereconstruction is often formulated as a regularization problem and selec ting a good regularization parametervalue is an essential step.”

    Study Results from State University of New York (SUNY) Buffalo Update Understand ing of Machine Learning (Pydarwin Machine Learning Algorithms Application and Co mparison In Nonlinear Mixed-effect Model Selection and Optimization)

    48-49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 reporting originatingin Buffalo, New York, by NewsRx jou rnalists, research stated, “Forward addition/backward elimination(FABE) has bee n the standard for population pharmacokinetic model selection (PPK) since NONMEM ®was introduced. We investigated five machine learning (ML) algorithms (Geneti c algorithm [GA], Gaussianprocess [GP], random forest [RF] , gradient boosted random tree [GBRT], and particle swarm optimization[PSO]) as alt ernatives to FABE.”

    Nanjing University of Science and Technology Reports Findings in Machine Learnin g (Predicting and refining acid modifications of biochar based on machine learni ng and bibliometric analysis: Specific surface area, average pore size, and tota l …)

    49-50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 out of Nanjing, People’s Repu blic of China, by NewsRx editors, research stated, “Acid-modifiedbiochar is a m odified biochar material with convenient preparation, high specific surface area , and richpore structure. It has great potential for application in the heavy m etal remediation, soil amendments andcarrying catalysts.”

    First Affiliated Hospital of Nanjing Medical University Reports Findings in Supp ort Vector Machines (CT-based radiomics for predicting success of shock wave lit hotripsy in ureteral stones larger than 1 cm)

    50-51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 - Sup port Vector Machines is the subject of areport. According to news reporting out of Nanjing, People’s Republic of China, by NewsRx editors, researchstated, “Th is study aims to investigate the predictive value of CT-based radiomics in deter mining thesuccess of extracorporeal shock wave lithotripsy (SWL) treatment for ureteral stones larger than 10mm inadult patients. A total of 301 eligible pati ents (165/136 successful/unsuccessful) who underwent SWLwere retrospectively ev aluated and divided into a training cohort (n = 241) and a test cohort (n = 60)following an 8:2 ratio.”