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    Studies from Shandong University Update Current Data on Support Vector Machines (Svm-based Factor Graph Design for Max-sr Problem of Scma Networks)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning - Support Vector Machines. According to news originating from S handong, People’s Republic of China, by NewsRx correspondents, research stated, “In this letter, a novel factor graph design based on the support vector machine (SVM) is proposed to maximize the sum-rate (Max-SR) of three-dimensional (3D) S CMA networks.”

    Harbin Institute of Technology Researchers Further Understanding of Robotics (Ma gnetic steering continuum robot for transluminal procedures with programmable sh ape and functionalities)

    87-87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 robotics are presented i n a new report. According to news reporting from the Harbin Institute of Technol ogy by NewsRx journalists, research stated, “Millimeter-scale soft continuum rob ots offer safety and adaptability in transluminal procedures due to their passiv e compliance, but this feature necessitates interactions with surrounding lumina , leading to potential medical risks and restricted mobility.”

    Research from Nankai University Provides New Data on Robotics (Disturbance Obser ver-Based Tracking Controller for n-Link Flexible-Joint Robots Subject to Time-V arying State Constraints)

    88-89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 originating from Tianjin, People’s Republic of C hina, by NewsRx correspondents, research stated, “This paper addresses the track ing control for an n-link flexible-joint robot system with full-state constraint s and external disturbances.”

    Ostbayerische Technische Hochschule Regensburg Reports Findings in Artificial In telligence (Influence of artificial intelligence on the diagnostic performance of endoscopists in the assessment of Barrett’s esophagus: a tandem randomized and ...)

    89-90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 Artificial Intelligenc e is the subject of a report. According to news reporting out of Regensburg, Ger many, by NewsRx editors, research stated, “This study evaluated the effect of an artificial intelligence (AI)-based clinical decision support system on the perf ormance and diagnostic confidence of endoscopists in their assessment of Barrett ’s esophagus (BE). 96 standardized endoscopy videos were assessed by 22 endoscop ists with varying degrees of BE experience from 12 centers.”

    New Robotics Findings from Northeastern University Outlined (Multi-objective Opt imal Trajectory Planning for Robot Manipulator Attention To End-effector Path Li mitation)

    90-91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 reporting originating in Shenyang, People’s Republic of Chi na, by NewsRx journalists, research stated, “In the process of trajectory optimi zation for robot manipulator, the path that is generated may deviate from the in tended path because of the adjustment of trajectory parameters, if there is limi tation of end-effector path in Cartesian space for specific tasks, this phenomen on is dangerous. This paper proposes a methodology that is based on the Pareto f ront to address this issue, and the methodology takes into account both the mult i-objective optimization of robotic arm and the quality of end-effector path.”

    Findings from University of Extremadura Provides New Data on Robotics (Social El astic Band With Prediction and Anticipation: Enhancing Real-time Path Trajectory Optimization for Socially Aware Robot Navigation)

    91-92页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting originating from Caceres, Spain, by NewsRx correspondents, research stated, “As social robots are projected to become an in tegral part of human life in the coming decades, their ability to adapt movement and trajectory when in proximity to people is essential for ensuring social acc eptance during human-robot interaction. A key aspect of this adaptability involv es predicting and anticipating human intents during robot navigation.”

    Researchers at Federal University Sao Joao del Rei Target Machine Learning (Data Triangulation and Machine Learning: a Hybrid Approach To Fill Missing Climate Data)

    92-92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 originating from Ouro Branco, Brazil, by NewsRx co rrespondents, research stated, “Historical data in climatology is important for recognizing patterns and discovering trends. However, data gaps often occur in s ome weather station time series.”

    New Machine Learning Findings from Jiangsu University Described (A Reduced Order Modeling-based Machine Learning Approach for Wind Turbine Wake Flow Estimation From Sparse Sensor Measurements)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “A comprehensive understand ing of wind turbine wake characteristics is vital, particularly in the context o f expanding large offshore wind farms. Existing wake measurement techniques prov ide only spatially sparse wake measurement data, limiting their utility in preci se wind turbine design and control.”

    Data on Machine Learning Discussed by Researchers at Russian Quantum Center (Ins piration From Machine Learning On the Example of Optimization of the Bose-einste in Condensate of Thulium Atoms In a 1064-nm Trap)

    94-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Skolkovo, Russia, by N ewsRx correspondents, research stated, “The number of atoms in Bose-Einstein con densate determines the scale of experiments that can be performed, making it cru cial for quantum simulations. Optimization of the number of atoms in the condens ate is a complex problem which could be efficiently solved using the machine lea rning technique.”

    South China Normal University Reports Findings in Robotics (How can industrial intelligence change the employment structure of the floating population?)

    95-95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 Robotics is the subjec t of a report. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “As the wave of industrial intell igence (AI) swept, the demographic dividend era in the Chinese labor market cont inued to decrease. This study aimed to explore how AI reshaped the labor employm ent structure of the floating population.”