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    Research on Machine Learning Published by Researchers at American College of Gre ece (A machine learning approach towards reviewing the role of ‘Internet of Thin gs’ in the shipping industry)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from America n College of Greece by NewsRx editors, the research stated, “The technology of t he Internet of Things (IoT) represents a cornerstone of the fourth industrial re volution.”

    Report Summarizes Robotics Study Findings from University of Patras (Process-Dri ven Layout Optimization of a Portable Hybrid Manufacturing Robotic Cell Structure)

    20-21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 ro botics. According to news originating from Patras, Greece, by NewsRx editors, th e research stated, “Hybrid manufacturing combines manufacturing processes (typic ally additive manufacturing and machining) exploiting the benefits of each and enabling repair scenarios.”

    Study Findings on Robotics Are Outlined in Reports from Chinese Academy of Scien ces (Shape Sensing and Kinematic Control of a Cable-Driven Continuum Robot Based on Stretchable Capacitive Sensors)

    21-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting originating from Ningbo, People’s Repub lic of China, by NewsRx correspondents, research stated, “A Cable-Driven Continu um Robot (CDCR) that consists of a set of identical Cable-Driven Continuum Joint Modules (CDCJMs) is proposed in this paper. The CDCJMs merely produce 2-DOF ben ding motions by controlling driving cable lengths.”

    Investigators at Northeastern University Report Findings in Robotics (Research O n High Precision and Zero-cost for Robot Zero-position Parameter Identification Method)

    22-23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 Ro botics. According to news reporting originating in Shenyang, People’s Republic o f China, by NewsRx journalists, research stated, “This paper introduces a robot zero position parameter identification and calibration method based on high prec ision and zero cost, in order to solve the shortcomings of the traditional axis pin calibration and laser tracker calibration algorithms. The nonlinear least -s quares iterative method proposed in this paper is used to identify the zero posi tion parameters of the robot, and can effectively analyse and correct the kinema tic errors of the robot.”

    University of Sao Paulo Medical School Reports Findings in Artificial Intelligen ce (Artificial intelligence and radiomics in the diagnosis of intraosseous lesio ns of the gnathic bones: A systematic review)

    23-24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 originating from Sao P aulo, Brazil, by NewsRx correspondents, research stated, “The purpose of this sy stematic review (SR) is to gather evidence on the use of machine learning (ML) m odels in the diagnosis of intraosseous lesions in gnathic bones and to analyze t he reliability, impact, and usefulness of such models. This SR was performed in accordance with the PRISMA 2022 guidelines and was registered in the PROSPERO da tabase (CRD42022379298).”

    Study Findings on Intelligent Systems Are Outlined in Reports from Xinjiang Univ ersity (A Collective Neurodynamic Approach To Distributed Resource Allocation Wi th Event-triggered Communication)

    24-25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 - Inte lligent Systems is now available. According to news reporting out of Xinjiang, P eople’s Republic of China, by NewsRx editors, research stated, “To solve a distr ibuted optimal resource allocation problem, a collective neurodynamic approach b ased on recurrent neural networks (RNNs) is proposed in this paper. Multiple RNN s cooperatively solve a global constrained optimization problem in which the obj ective function is a total of local non-smooth convex functions and is subject t o local convex sets and a global equality constraint.”

    Research from Indian Institute of Technology Yields New Findings on Machine Lear ning (Advanced stacked integration method for forecasting long-term drought seve rity: CNN with machine learning models)

    25-26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 artificial intelligence. According to news reporting out of West Bengal, India, by NewsRx editors, research stated, “Study region: Eight governorates in upper E gypt namely Aswan, Asyut, Beni-Suef, Fayoum, Luxor, Minya, Qena and Sohag.”

    Research from Jiangsu University Broadens Understanding of Robotics (Seedling-YO LO: High-Efficiency Target Detection Algorithm for Field Broccoli Seedling Trans planting Quality Based on YOLOv7-Tiny)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on robotics is the subject of a new report. According to news reporting from Zhenjiang, People’s Republic of China, by NewsRx journalists, research stated, “The rapid and accurate detection of bro ccoli seedling planting quality is crucial for the implementation of robotic int elligent field management. However, existing algorithms often face issues of fal se detections and missed detections when identifying the categories of broccoli planting quality.”

    Data from University of Sao Paulo Advance Knowledge in Machine Learning (Investi gating the Potential of Machine Learning for Fault Location On Inverter-based Re source Interconnection Lines: Insights and Recommendations)

    27-28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 Sao Carlos, Brazil, by NewsRx correspondents, research stated, “Given the increasing penetration of In verter-Based Resources (IBR) and the impacts of these generators on existing fau lt location functions, this paper explores the potential of Machine Learning (ML ) for designing one -terminal fault locators applied to systems with IBRs. For t he studies, a system with a widely used topology for IBR interconnection to a tr ansmission grid is modeled in PSCAD software, considering fault scenarios on the interconnection line with varying fault parameters, in addition to different IB R controls/topologies, grid short-circuit levels and signal noise levels.”

    Investigators at German Cancer Research Center (DKFZ) Detail Findings in Machine Learning (Reproducible Radiomics Features From Multi-mri-scanner Test-retest-st udy: Influence On Performance and Generalizability of Models)

    28-29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 reporting from Heidelberg, Germany, by NewsR x journalists, research stated, “Radiomics models trained on data from one cente r typically show a decline of performance when applied to data from external cen ters, hindering their introduction into large-scale clinical practice. Current e xpert recommendations suggest to use only reproducible radiomics features isolat ed by multiscanner test-retest experiments, which might help to overcome the pro blem of limited generalizability to external data.”