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    Department of Radiotherapy Reports Findings in Bladder Cancer (CT Image-Based Ra diomic Analysis for Detecting PD-L1 Expression Status in Bladder Cancer Patients )

    11-12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 - Bladder Can cer is the subject of a report. According tonews reporting originating from Suz hou, People’s Republic of China, by NewsRx correspondents, researchstated, “The role of Programmed death-ligand 1 (PD-L1) expression is crucial in guiding immu notherapyselection. This study aims to develop and evaluate a radiomic model, l everaging Computed Tomography(CT) imaging, with the objective of predicting PD- L1 expression status in patients afflicted with bladdercancer.”

    Zhejiang University Researcher Releases New Data on Robotics (Form-Finding and E valuation of Spherical Tensegrity Toward Applying in Locomotive Robots)

    12-13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 robotics. According to news reporting fromZhejiang, People’s Republic of China, by NewsRx journalists, research stated, “A tensegrity-based robot isa locomoti ve robot that operates on the principle of tensegrity, allowing it to change its shape by adjustingits internal prestress. Tensegrity-based robots can be categ orized into different types based on their shape,with the spherical tensegrity- based robot garnering the most attention.”

    Findings from Beihang University Advance Knowledge in Robotics (Heuristic Expand ing Disconnected Graph: A Rapid Path Planning Method for Mobile Robots)

    13-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on robotics have been presented. Ac cording to news originating from BeihangUniversity by NewsRx correspondents, re search stated, “Existing mobile robots mostly use graph searchalgorithms for pa th planning, which suffer from relatively low planning efficiency owing to high redundancyand large computational complexity. Due to the limitations of the nei ghborhood search strategy, the robotscould hardly obtain the most optimal globa l path.”

    Researchers at Xi’an Jiaotong University Target Robotics (Online Navigation Meth od for Mobile Robot Based On Thermal Compliance)

    14-14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 Robotics. According to news originating fromXi’an, People’s Republic of China, by NewsRx correspondents, research stated, “The online navigation inunknown and dynamic environments is a crucial challenge for mobile robots. In this article, a novel onlinenavigation method based on thermal compliance is proposed.”

    Research from Singidunum University Broadens Understanding of Machine Learning ( Assessing the Efficiency of Foreign Investment in a Certification Procedure Usin g an Ensemble Machine Learning Model)

    15-15页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting out of Belgrad e, Serbia, by NewsRx editors, research stated, “Many methods exist forsolving t he problem of evaluating efficiency in different processes.”

    Study Data from Beijing University of Civil Engineering and Architecture Update Understanding of Intelligent Systems (Enhanced Chinese Named Entity Recognition With Multi-granularity Bert Adapter and Efficient Global Pointer)

    16-16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 Machine Learning - Intelligent Systems. Accordingto news originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated,“Name d Entity Recognition (NER) plays a crucial role in the field of Natural Language Processing, holdingsignificant value in applications such as information extra ction, knowledge graphs, and question-answeringsystems. However, Chinese NER fa ces challenges such as semantic complexity, uncertain entity boundaries,and nes ted structures.”

    Studies from IT Department Describe New Findings in Robotics (Graspability-aware Object Pose Estimation In Cluttered Scenes)

    17-17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 news reportingoriginating from Hanoi, Vietn am, by NewsRx correspondents, research stated, “Object recognitionand pose esti mation are critical components in autonomous robot manipulation systems, playing a crucialrole in enabling robots to interact effectively with the environment. During actual execution, the robotmust recognize the object in the current sce ne, estimate its pose, and then select a feasible grasp posefrom the pre-define d grasp configurations.”

    Data from Stellenbosch University Advance Knowledge in Machine Learning (Machine Learning Approach to Identify Important Parameters Influencing Pumping Load Shi ft in a Complex Dewatering System of a Deep-Level Mine)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According to newsreporting out of Stellenbosc h, South Africa, by NewsRx editors, research stated, “This study investigatedth e application of machine learning to optimise the pumping load shift of a comple x dewatering system ina deep-level mine, aiming to reduce energy costs associat ed with the dewatering process, which consumesan average of 14% o f the mine’s electricity.”

    Researchers from Massachusetts Institute of Technology Detail New Studies and Fi ndings in the Area of Robotics and Automation (Clipper: Robust Data Association Without an Initial Guess)

    19-19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 - Robotics and Automation. Accordingto news reporting from Cambridge, Ma ssachusetts, by NewsRx journalists, research stated, “Identifyingcorrespondence s in noisy data is a critically important step in estimation processes. When an informativeinitial estimation guess is available, the data association challeng e is less acute; however, the existence ofa high-quality initial guess is rare in most contexts.”

    Study Results from Xi’an University of Science and Technology Update Understandi ng of Robotics (Key technologies of intelligent mining robot)

    19-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on robotics are presented in a new rep ort. According to news originating from Xi’an,People’s Republic of China, by Ne wsRx correspondents, research stated, “Coal mining machine is the coreequipment of completely automated working face, and the research and development of intel ligent coalmining robot is crucial for achieving the intellectualization of ful ly mechanized working face. This papercomprehensively analyzes the current rese arch status of sensing detection, position and attitude control,speed control, cutting trajectory planning, and tracking control in the coal mining machine rob oticizationprocess, and proposes five key technologies that must be solved in t he development of intelligent shearerrobots, including sensing and detection, p ose control, velocity control, cutting trajectory planning andtracking control. ”