首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    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).”

    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.”

    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.”

    New Findings from Technical University Crete Describe Advances in Machine Learni ng (Quantum Machine Learning for Credit Scoring)

    21-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Chania, Greece, by New sRx correspondents, research stated, “This study investigates the integration of quantum circuits with classical neural networks for enhancing credit scoring fo r small- and medium-sized enterprises (SMEs).”

    Nanchang University Reports Findings in Rectal Cancer (LASSObased nomogram pred icts the risk factors of low anterior resection syndrome for middle and low rect al cancer underwent robotic surgery)

    22-23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 Oncology - Rectal Canc er is the subject of a report. According to news reporting out of Nanchang, Peop le’s Republic of China, by NewsRx editors, research stated, “This study aims to analyze the influencing factors of postoperative Low Anterior Resection Syndrome (LARS) in patients with middle and low rectal cancer who underwent robotic surg ery. It also seeks to predict the probability of LARS through a visual, quantita tive, and graphical nomogram.”

    Qingdao University of Technology Reports Findings in Machine Learning (Conceptua lizing future groundwater models through a ternary framework of multisource data , human expertise, and machine intelligence)

    23-23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 Qingdao, People’s Repu blic of China, by NewsRx correspondents, research stated, “Groundwater models ar e essential for understanding aquifer systems behavior and effective water resou rces spatio-temporal distributions, yet they are often hindered by challenges re lated to model assumptions, parametrization, uncertainty, and computational effi ciency. Machine intelligence, especially deep learning, promises a paradigm shif t in overcoming these challenges.”

    Study Results from Cerema Provide New Insights into Machine Learning (Managing R ockfall Hazard on Strategic Linear Stakes: How Can Machine Learning Help to Bett er Predict Periods of Increased Rockfall Activity?)

    26-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from Bron, France, by NewsRx cor respondents, research stated, “When rockfalls hit and damage linear stakes such as roads or railways, the access to critical infrastructures (hospitals, schools , factories ...) might be disturbed or stopped. Rockfall risk management often i nvolves building protective structures that are traditionally based on the inten sive use of resources such as steel or concrete.”

    Research on Robotics Published by Researchers at Zagazig University (Assessing t he accuracy and efficiency of kinematic analysis tools for six-DOF industrial ma nipulators: The KUKA robot case study)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in robotic s. According to news originating from New Damietta, Egypt, by NewsRx editors, th e research stated, “Accuracy is an important factor to consider when evaluating the performance of a manipulator.”

    Santa Chiara Hospital Reports Findings in Machine Learning (Are the criteria for PD-MCI diagnosis comprehensive? A Machine Learning study with modified criteria )

    29-29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 Trento, Italy, by NewsRx journalists, research stated, “Mild cognitive impairment in Parkinson ’s disease (PD-MCI) includes deficits in different cognitive domains, and one do main to explore for neurocognitive impairment following the DSM-V is social cogn ition. However, this domain is not included in current criteria for PD-MCI diagn osis.”