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    Findings from Harbin Engineering University Update Knowledge of Robotics (Adapti ve Multi-robot Cooperative Localization Based On Distributed Consensus Learning of Unknown Process Noise Uncertainty)

    38-39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 outof Harbin, People’s Republic of China, by NewsRx editors, research stated, “The unknown process noisecovariance matrix (PNCM) problem inducing by poor calibration or time-varying environment has notbeen addressed in the 2-D multi-robot system. This problem will severely deteri orate the distributed cooperative localization consistency and accuracy, and is troublesome to solve due to small magnitude ofthe 2-D robot’s PNCM.”

    Sichuan University Reports Findings in Prostatectomy (Construction for the predi ctive model of quality of life in patients after robot-assisted radical prostate ctomy: a cohort study)

    39-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Prostatectom y is the subject of a report. Accordingto news reporting originating in Sichuan , People’s Republic of China, by NewsRx journalists, researchstated, “Urinary i ncontinence (UI) and erectile dysfunction (ED) often arise as frequent postopera tivecomplications following robotic-assisted radical prostatectomy (RARP) for p rostate cancer (PCa). Theseissues can significantly diminish patients’ quality of life (QoL).”

    Investigators from Huazhong University of Science and Technology Report New Data on Machine Learning (Optimization Design and Piv Experimental Investigation On the Heat Transfer and Flow Characteristics In Circular Tube With Oblique Wavy Ta pe ...)

    40-41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 reporting outof Wuhan, People’s Republic of China , by NewsRx editors, research stated, “To induce longitudinal swirlflow and enh ance heat transfer in heat exchanger tubes, a novel oblique wavy tape insert is introduced inthis paper. With identical geometric parameters, the flow and heat transfer characteristics of a tube withV-shaped oblique wavy tape (VOWT) are n umerically compared to those of tubes inserted with existingconventional wavy t ape (CWT) and center-tapered wavy tape (CTWT).”

    Universidade Federal de Vicosa Reports Findings in Machine Learning (Machine lea rning and regression in the management of runoff in bauxite mines under rehabili tation)

    41-42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 in Minas Gerais, Brazil, by NewsRx journalists, research stated, “Accurate and reliableforecasti ng of monthly runoff considering several years of rehabilitation helps in planni ng and managing the water resources system of bauxite mining areas. A combinatio n of linear regression models and artificialintelligence was proposed and appli ed to predict runoff from mined areas.”

    New Findings in Machine Learning Described from Tianjin University (From Technol ogy Opportunities To Solutions Generation Via Patent Analysis: Application of Ma chine Learning-based Link Prediction)

    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 originatingfrom Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Technology convergencerepre sents a significant mode of technological innovation that is widely prevalent ac ross various industries. This innovative approach integrates multiple technologi es to develop new integrated solutions,thereby fostering a competitive advantag e for enterprises.”

    Researchers from Egypt-Japan University of Science and Technology Report Recent Findings in Machine Learning (A Machine Learning Approach for Estimating the Dri ft Velocities of Equatorial Plasma Bubbles Based On All-sky Imager and Gnss ...)

    43-44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 tonews originating from Alexandria, Egypt, b y NewsRx correspondents, research stated, “Equatorial Plasma Bubbles (EPBs) are zones characterized by fluctuations in plasma densities which form in the low-latitude ionosphere primarily during the post-sunset. They subject radio signals t o amplitude and phasevariabilities, affecting the functioning of technological systems that utilize the Global Navigation SatelliteSystems (GNSS) signals for navigation.”

    First People’s Hospital Reports Findings in Breast Cancer (Comparative Analysis of Nomogram and Machine Learning Models for Predicting Axillary Lymph Node Metas tasis in Early-Stage Breast Cancer: A Study on Clinically and Ultrasound-Negativ e ...)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Breast Canc er is the subject of a report. According to newsoriginating from Zhejiang, Peop le’s Republic of China, by NewsRx correspondents, research stated, “Earlyand ac curate prediction of axillary lymph node metastasis (ALNM) is crucial in determi ning appropriatetreatment strategies for patients with early-stage breast cance r. The aim of this study was to evaluatethe efficacy of radiomic features extra cted from ultrasound (US) images combined with machine learning(ML) methods in predicting ALNM to improve diagnostic accuracy and patient prognosis.”

    Studies from Guilin University of Aerospace Technology in the Area of Robotics D escribed (Improved Double Deep Q Network Algorithm Based On Average Q-value Esti mation and Reward Redistribution for Robot Path Planning)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on Robotics is now available. Accordi ng to news reporting out of Guilin, People’sRepublic of China, by NewsRx editor s, research stated, “By integrating deep neural networks with reinforcementlear ning, the Double Deep Q Network (DDQN) algorithm overcomes the limitations of Qlearningin handling continuous spaces and is widely applied in the path plannin g of mobile robots. However,the traditional DDQN algorithm suffers from sparse rewards and inefficient utilization of high-qualitydata.”

    New Robotics Study Findings Have Been Reported by Researchers at Xidian Universi ty (Relative dynamics modeling and force-position hybrid control of dual-arm cut ting robot)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on robotics are disc ussed in a new report. According to newsreporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “The dualarmcutting robot a ddresses the low efficiency of traditional single-arm roadheaders when cutting l argecross-sections.”

    Studies from Zhejiang University Yield New Information about Machine Learning (I ntelligent Prediction Framework for Axial Compressive Capacity of Frp-racfst Col umns)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting out of Hangzhou, Peop le’s Republic of China, by NewsRx editors, research stated,“Fiber reinforced po lymer confined-recycled aggregate concrete filled steel tube (FRP-RACFST) not on lyproposes excellent load-bearing capacity and corrosion resistance, but is als o an environmentally friendlystructure due to the incorporation of recycled agg regate concrete (RAC). This paper proposes a machinelearning-based framework fo r predicting the axial compression capacity of FRP-RACFST.”