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    Studies from Federal University of Uberlandia Add New Findings in the Area of Ma chine Learning (Five Machine Learning Models Predicting the Global Shear Capacit y of Composite Cellular Beams with Hollow-Core Units)

    38-39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 artificial intelligence. According to news reportingfrom Uberlandia, Brazil, by NewsRx journalists, research stated, “The global shear capacity of steel-concrete composite downstand cellular beams with precast hollow-core units is an impor tant calculation as itaffects the span-to-depth ratios and the amount of materi al used, hence affecting the embodied CO2calculation when designers are produci ng floor grids.”

    New Computational Intelligence Findings Has Been Reported by Investigators at Gu angdong University of Foreign Studies (Text Reasoning Chain Extraction for Multi -hop Question Answering)

    39-39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 Computational Intelligence have been published. Accordingto news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “With th e advent of the information age, it will be more troublesome to search for a lot of relevantknowledge to find the information you need. Text reasoning is a ver y basic and important part of multi-hopquestion and answer tasks.”

    Studies from Nanjing University of Science and Technology Have Provided New Data on Robotics (Trajectory Planning of a Freefloating Dual-arm Space Robot With M inimal Base Disturbance In Obstacle Environments)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting fromNanjing, People’s Republic of China, b y NewsRx journalists, research stated, “This paper addresses theissue of trajec tory planning for a free-floating dual-arm space robot, considering the constrai nts of collisionavoidance while simultaneously minimizing the base position and attitude disturbance during on-orbit tasks.One arm is designated as the missio n arm, tracking a prescribed path to complete specific goals, whilethe other se rves as the balance arm, compensating for any base attitude disturbance.”

    Reports from Tongji University Describe Recent Advances in Machine Learning [Cross-scale Analysis for the Thermo-hydromechanical (Thm) Effects On the Mechan ical Behaviors of Fractured Rock: Integrating Mesostructure-based Dem Modeling a nd …]

    41-42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 originatingfrom Shanghai, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “The excavationprocess induces the emergence of damage zones in the on-site engineering rock masses, significan tlyaffecting the parameter evaluation of surrounding rock masses. Therefore, an in-depth understanding ofthe thermo-hydro-mechanical (THM) effects on the cros s-scale failure process of fractured rock becomesprogressively crucial in natur al energy exploitation projects.”

    Studies from Nanyang Technological University Further Understanding of Machine L earning (Intelligent Detection of Loose Fasteners In Railway Tracks Using Distri buted Acoustic Sensing and Machine Learning)

    42-43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 Ma chine Learning. According to news reportingfrom Singapore, Singapore, by NewsRx journalists, research stated, “Loose fasteners in railway trackspresent a pote ntial safety concern for train operations, especially when fasteners at sharp cu rves becomeloosened or when multiple consecutive fasteners are loosened. Tradit ional inspection methods are inefficientdue to the large number of fasteners al ong the rail.”

    New Findings from University of Technology in the Area of Artificial Intelligenc e Reported (Exploring the Impact of Artificial Intelligence On Financial Inclusi on: Cross-country Analysis)

    43-43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 Artificial Intelligence. According to news reportingoriginating in Johor, Malay sia, by NewsRx journalists, research stated, “This study uses panel data from 29countries that were categorised from low to high in terms of AI adoption from 2 017 to 2021 to investigatethe impact of artificial intelligence on financial in clusion. The study employed both static and dynamicGeneralized Method of Moment s (GMM) panel data estimations to achieve the research objective.”

    Seoul National University Researcher Adds New Study Findings to Research in Andr oids (MOB-Net: Limb-modularized uncertainty torque learning of humanoids for sen sorless external torque estimation)

    44-44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 android s. According to news reporting from Seoul,South Korea, by NewsRx journalists, r esearch stated, “Momentum observer (MOB) can estimate externaljoint torque with out requiring additional sensors, such as force/torque or joint torque sensors.”

    Bureau of Meteorology Researcher Reports Recent Findings in Machine Learning (Si te-Specific Deterministic Temperature and Dew Point Forecasts with Explainable a nd Reliable Machine Learning)

    45-45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 reportingoriginating from the Bureau o f Meteorology by NewsRx correspondents, research stated, “Site-specificweather forecasts are essential for accurate prediction of power demand and are conseque ntly of greatinterest to energy operators. However, weather forecasts from curr ent numerical weather prediction (NWP)models lack the fine-scale detail to capt ure all important characteristics of localised real-world sites.”

    Recent Findings from University of Electronic Science and Technology of China Pr ovides New Insights into Robotics (Multi-objective Cooperative Transportation fo r Reconfigurable Robot Using Isomorphic Mapping Multi-agent Reinforcement Learni ng)

    46-46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 ofChengdu, People’s Republic of China, by N ewsRx editors, the research stated, “In this paper, we proposean Isomorphic Map ping Reconfigurable Multi -Agent Reinforcement Learning (IM-RMARL) framework,wh ich is suitable for decision-making scenarios in reconfigurable multi-agent rein forcement learning. Thismethod holds promising applications in fields such as l ogistics transportation systems and disaster relief.”

    Reports Summarize Robotics Study Results from Northeastern University (Research on Path Planning Method for Autonomous Patrol Robots)

    47-47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 ro botics. According to news reporting out ofShenyang, People’s Republic of China, by NewsRx editors, research stated, “For autonomous patrol robots,how to compl ete multi-point path planning efficiently is a crucial challenge.”Funders for this research include China Postdoctoral Science Foundation; Guangdo ng Basic And AppliedBasic Research Foundation; Liaoning Natural Science Foundat ion; Fundamental Research Funds For TheCentral Universities.