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    University Rovira i Virgili Reports Findings in Machine Learning (Application of digital twins for simulation based tailoring of laser induced graphene)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Tarragona, Spain, by N ewsRx correspondents, research stated, “In the era of manmachine interfaces, di gital twins stand as a key technology, offering virtual representations of real- world objects, processes, and systems through computational models. They enable novel ways of interacting with, comprehending, and manipulating real-world entit ies within a virtual realm.”

    Studies from Harbin Institute of Technology Reveal New Findings on Robotics (Mot ion Planning and Contact Force Distribution for Heavy-duty Hexapod Robots Walkin g On Unknown Rugged Terrains)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting from Heilongjiang, People’s Republic of China, b y NewsRx journalists, research stated, “Heavy-duty hexapod robots have impressiv e stability, high load-bearing capacity, and exceptional adaptability to rugged terrains. They are capable of working in challenging outdoor environments such a s planetary exploration, disaster relief and mountain transportation.”

    Federal University of Sao Paulo Reports Findings in Machine Learning (Automated machine learning model for fundus image classification by health-care profession als with no coding experience)

    13-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Sao Paulo, Brazil, by Ne wsRx journalists, research stated, “To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary outcomes from fundus image s in ophthalmology, evaluating two distinct online-based platforms (Google Verte x and Amazon Rekognition), and two distinct datasets. Two publicly available dat asets, Messidor-2 and BRSET, were utilized for model development.”

    Reports on Machine Learning Findings from Shanghai University Provide New Insigh ts (Analyzing Dynamic Resistance In Hightemperature Superconducting Tapes By Co mbining Finite Element Method With Machine Learning)

    14-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Shanghai, People’s Republic of Chin a, by NewsRx journalists, research stated, “When an external alternating field r eaches a threshold value, high-temperature superconductors (HTS) that are carryi ng direct current can exhibit dynamic resistance phenomenon. This phenomenon, of ten observed in tape applications, can be effectively studied using finite eleme nt methods (FEM).”

    Findings from Harbin Institute of Technology Provides New Data about Machine Lea rning (Volume Transfer: a New Design Concept for Fabric-based Pneumatic Exosuits )

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Harbin, Peop le’s Republic of China, by NewsRx journalists, research stated, “The fabric-base d pneumatic exosuit is now a hot research topic because it is lighter and softer than traditional exoskeletons. Existing research focuses more on the mechanical properties of the exosuit (e.g., torque and speed), but less on its wearability (e.g., appearance and comfort).”

    University of Health Sciences Reports Findings in Bipolar Disorders (The Contrib ution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface M orphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar .. .)

    16-17页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Mental Health Diseases and Condit ions - Bipolar Disorders is the subject of a report. According to news reporting originating from Istanbul, Turkey, by NewsRx correspondents, research stated, “ To differentiate early-onset schizophrenia (EOS) from early-onset bipolar disord er (EBD) using surface-based morphometry measurements and brain volumes using ma chine learning (ML) algorithms. High-resolution T-weighted images were obtained to measure cortical thickness (CT), gyrification, gyrification index (GI), sulca l depth (SD), fractal dimension (FD), and brain volumes.”

    New Robotic Systems Research Reported from Chinese Academy of Sciences (Environm ental-structure-perception-based adaptive pose fusion method for LiDAR-visual-in ertial odometry)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotic systems are pres ented in a new report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Light Detection and Rangin g (LiDAR)-visual-inertial odometry can provide accurate poses for the localizati on of unmanned vehicles working in unknown environments in the absence of Global Positioning System (GPS).”

    Reports Outline Machine Learning Study Findings from Boreskov Institute of Catal ysis (From Synthesis Conditions To Uio-66 Properties: Machine Learning Approach)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Novosibirsk, Russia, by NewsRx correspondents, research stated, “This study delves into understandin g the relationship between synthesis conditions and the resulting properties of the Zrbased metal-organic framework (MOF) UiO-66, with an emphasis on machine l earning (ML) in making quantitative predictions. Utilizing a comprehensive, manu ally curated data set, three ML models are trained to predict UiO-66 properties, including specific surface area, defect concentration, and particle size, based on synthesis parameters.”

    Jilin University Reports Findings in Machine Learning (Reservoir temperature pre diction based on characterization of water chemistry data-case study of western Anatolia, Turkey)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Changchun, Peo ple’s Republic of China, by NewsRx journalists, research stated, “Reservoir temp erature estimation is crucial for geothermal studies, but traditional methods ar e complex and uncertain. To address this, we collected 83 sets of water chemistr y and reservoir temperature data and applied four machine learning algorithms.”

    Researchers from Technical University of Denmark (DTU) Describe Findings in Mach ine Learning (Exploring Machine Learning Techniques for Accurate Prediction of M ethane Hydrate Formation Temperature In Brine: a Comparative Study)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Lyngby, Denm ark, by NewsRx correspondents, research stated, “Accurate estimation of formatio n conditions plays a pivotal role in effectively managing various processes rela ted to hydrates, including flow assurance, deep-water drilling, and hydrate-base d technology development. The formation temperature of methane hydrates in the p resence of brine greatly affects the efficacy and accuracy of these processes.”