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    Investigators at Swinburne University of Technology Detail Findingsin Machine L earning (A Machine Learning Technique for Predictionof Cold Spray Additive Manu facturing Input Process Parameters To Achieve a Desired Spray Deposit Profile)

    20-20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 originating in Melbourne, A ustralia, by NewsRx journalists, research stated, “Cold spray additivemanufactu ring (CSAM) has recently gained increased attention from the research community and industriesdue to its several advantages, such as high metal deposition rate , low working temperature, and abilityto deposit high-reflectivity materials. D espite these advantages, one of the main limitations of CSAM ispoor dimensional accuracy of as-fabricated components.”

    University of Gothenburg Reports Findings in Machine Learning [ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality.Developin g and evaluating a multivariable machine learning prediction model for patients admitted to the …]

    21-22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 from Gothenburg, Sweden, by NewsRx correspondents, research stated, “A predictionmodel that esti mates mortality at admission to the intensive care unit (ICU) is of potential be nefit toboth patients and society. Logistic regression models like Simplified A cute Physiology Score 3 (SAPS 3)and APACHE are the traditional ICU mortality pr ediction models.”

    Studies Conducted at National University of Singapore on Machine Learning Recent ly Reported (Customizable Anisotropic Microlattices for Additive Manufacturing: Machine Learning Accelerated Design, Mechanical Properties and Structural-proper ty …)

    22-23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 originatingin Singapore, Singapore, by N ewsRx journalists, research stated, “For their optimal directionalmechanical pr operties, anisotropic microlattices hold significant importance as advanced mate rials in adiverse range of applications. However, a bottleneck in their develop ments may be encountered when thelimitations of current methods have been reach ed.”

    Hebei University of Technology Researcher Reports on Findings in Machine Learnin g (A Review of Fluoride Removal from Phosphorous Gypsum: A Quantitative Analysis via a Machine Learning Approach)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews originating from Tianjin , People’s Republic of China, by NewsRx correspondents, research stated,“This r eview comprehensively explores fluoride removal from phosphogypsum, focusing on its composition,fluorine-containing compounds, characterization methods, and de fluorination techniques. It initiallyoutlines the elemental composition of phos phogypsum prevalent in major production regions and infersthe presence of fluor ine compounds based on these constituents.”

    Reports from Federal University Goias Add New Data to Findings in Machine Learni ng (Can Machine Learning Efficiently Predict Symmetry Breaking In Physical Probl ems Like Bose-einstein Condensates?)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news originating fromGoiania, Brazil, by NewsRx corresponde nts, research stated, “In this work, our objective is to evaluatewhether machin e learning algorithms combined with computational methods used in physical probl emssuch as spontaneous symmetry breaking in Bose-Einstein condensates are capab le of efficiently predictingresults obtained from solutions of nonlinear equati ons.”

    New Machine Learning Research Has Been Reported by Researchers at Concordia Univ ersity (Deep learning systems for forecasting the prices of crude oil and precio us metals)

    25-26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 to newsreporting originating from Con cordia University by NewsRx correspondents, research stated, “Commoditymarkets, such as crude oil and precious metals, play a strategic role in the economic de velopment ofnations, with crude oil prices influencing geopolitical relations a nd the global economy. Moreover, goldand silver are argued to hedge the stock a nd cryptocurrency markets during market downsides.”

    Researchers from Fuzhou University Report on Findings in Machine Learning (A Tra nsfer Learning Strategy for Cross-subject and Crosstime Hand Gesture Recognitio n Based On A-mode Ultrasound)

    26-27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 Machine Learning. According to news reportingfrom Fuzhou, People’s Republic of China, by NewsRx journalists, research stated, “The hand gesturerecognition (HG R) technology in A-mode ultrasound human-machine interface (HMI-A), based on traditional machine learning, relies on intricate feature reduction methods. Resear chers need prior knowledgeand multiple validations to achieve the optimal combi nation of features and machine learning algorithms.”

    Department of Physics Reports Findings in Chronic Obstructive PulmonaryDisease (Machine learning and magnetic resonance image texture analysis predicts acceler ated lung function decline in exsmokers with and without chronic obstructive .. .)

    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 Lung Diseases and Cond itions - Chronic Obstructive PulmonaryDisease is the subject of a report. Accor ding to news reporting originating in Toronto, Canada, byNewsRx journalists, re search stated, “Our objective was to train machine-learning algorithms on hyperpolarized magnetic resonance imaging (MRI) datasets to generate models of acceler ated lung functiondecline in participants with and without chronic-obstructive- pulmonary-disease. We hypothesized thathyperpolarized gas MRI ventilation, mach ine-learning, and multivariate modeling could be combined topredict clinically- relevant changes in forced expiratory volume in 1 s ( ) across 3 years.”

    Findings from Concordia University Provide New Insights into MachineLearning (I ot Video Analytics for Surveillance-based Systems In Smart Cities)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Montreal, Canada, by N ewsRx editors, research stated, “Smart city applications arerevolutionizing the way people interact with diverse systems in city-wide applications. Internet of Things(IoT) and machine learning are two enabling technologies for smart citie s.”

    Recent Studies from School of Computer and Information Add New Data to Robotics (Robust Strategy Generation for Automatic Navigationof Unmanned Surface Vehicle s through Improved DDPG Algorithm)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on robotics are presented in a new rep ort. According to news reporting out of theSchool of Computer and Information b y NewsRx editors, research stated, “Automatic navigation withcollision-free nav igation has become a critical challenge for unmanned surface vehicles (USVs) to expand their application scenarios. Conventional methods for achieving automatic navigation of USVs typicallyrely on finely modeling the environment, thus exhi biting poor generalization capabilities.”