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    New Robotics Study Results from Ferdowsi University of Mashhad Described (Point clouds to as-built two-node wireframe digital twin: a novel method to support au tonomous robotic inspection)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reporting fromFerdowsi University of Mashhad by NewsRx journalists, research stated, “Previous studies have primarily focused on converting point clouds (PC) into a dense mech of 3D finite element models, neg lecting theconversion of PCs into as-built wireframe models with two-node eleme nts for line elements such as beamsand columns.”

    New Robotics Study Results from Ferdowsi University of Mashhad Described (Point clouds to as-built two-node wireframe digital twin: a novel method to support au tonomous robotic inspection)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reporting fromFerdowsi University of Mashhad by NewsRx journalists, research stated, “Previous studies have primarily focused on converting point clouds (PC) into a dense mech of 3D finite element models, neg lecting theconversion of PCs into as-built wireframe models with two-node eleme nts for line elements such as beamsand columns.”

    Recent Findings from Shanghai Jiao Tong University Has Provided New Information about Robotics (Constrained Dirichlet Distribution Policy: Guarantee Zero Constr aint Violation Reinforcement Learning for Continuous Robotic Control)

    96-96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 fromShanghai, People’s Republic of China, b y NewsRx journalists, research stated, “Learning-based controllersshow promisin g performances in robotic control tasks. However, they still present potential s afety risksdue to the difficulty in ensuring satisfaction of complex action con straints.”

    Recent Findings from Shanghai Jiao Tong University Has Provided New Information about Robotics (Constrained Dirichlet Distribution Policy: Guarantee Zero Constr aint Violation Reinforcement Learning for Continuous Robotic Control)

    96-96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 fromShanghai, People’s Republic of China, b y NewsRx journalists, research stated, “Learning-based controllersshow promisin g performances in robotic control tasks. However, they still present potential s afety risksdue to the difficulty in ensuring satisfaction of complex action con straints.”

    Findings from Hong Kong University of Science and Technology Update Knowledge of Robotics (Magnetic Wall-climbing Wheels With Controllable Adhesion Reduction Vi a Soft Magnetic Material)

    97-98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 Robotic s. According to news reporting originatingin Guangzhou, People’s Republic of Ch ina, by NewsRx journalists, research stated, “With the aging ofcritical infrast ructure like bridges and plant facilities, the development of innovative wall-cl imbing robotsusing permanent magnets has become increasingly important. Traditi onal designs of such robots dependon controlling the position of lifters or per manent magnets to control the adhesion condition, whichintroduces significant s afety concerns, including inconsistent adhesion during surface transitions and t herisk of falls when control is lost.”

    Findings from Hong Kong University of Science and Technology Update Knowledge of Robotics (Magnetic Wall-climbing Wheels With Controllable Adhesion Reduction Vi a Soft Magnetic Material)

    97-98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 Robotic s. According to news reporting originatingin Guangzhou, People’s Republic of Ch ina, by NewsRx journalists, research stated, “With the aging ofcritical infrast ructure like bridges and plant facilities, the development of innovative wall-cl imbing robotsusing permanent magnets has become increasingly important. Traditi onal designs of such robots dependon controlling the position of lifters or per manent magnets to control the adhesion condition, whichintroduces significant s afety concerns, including inconsistent adhesion during surface transitions and t herisk of falls when control is lost.”

    Guizhou Medical University Reports Findings in Chondrosarcoma (Development of th e interpretable typing prediction model for osteosarcoma and chondrosarcoma base d on machine learning and radiomics: a multicenter retrospective study)

    98-99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 - Chondrosarc oma is the subject of a report. Accordingto news reporting out of Guiyang, Peop le’s Republic of China, by NewsRx editors, research stated, “Osteosarcomaand ch ondrosarcoma are common malignant bone tumors, and accurate differentiation between these two tumors is crucial for treatment strategies and prognosis assessmen t. However, traditionalradiological methods face diagnostic challenges due to t he similarity in imaging between the two.”

    Guizhou Medical University Reports Findings in Chondrosarcoma (Development of th e interpretable typing prediction model for osteosarcoma and chondrosarcoma base d on machine learning and radiomics: a multicenter retrospective study)

    98-99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 - Chondrosarc oma is the subject of a report. Accordingto news reporting out of Guiyang, Peop le’s Republic of China, by NewsRx editors, research stated, “Osteosarcomaand ch ondrosarcoma are common malignant bone tumors, and accurate differentiation between these two tumors is crucial for treatment strategies and prognosis assessmen t. However, traditionalradiological methods face diagnostic challenges due to t he similarity in imaging between the two.”

    Study Findings from Shanghai Jiao Tong University Provide New Insights into Mach ine Learning (Optimizing H2 production From Biomass: a Machine Learning-enhanced Model of Supercritical Water Gasification Dynamics)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “Supercriticalwater g asification (SCWG) is recognized as an efficient technology for biomass conversi on, demonstratingsubstantial potential in the sustainable energy sector. This p aper focuses on the H2 production by SCWGof biomass.”

    Study Findings from Shanghai Jiao Tong University Provide New Insights into Mach ine Learning (Optimizing H2 production From Biomass: a Machine Learning-enhanced Model of Supercritical Water Gasification Dynamics)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Shanghai, People’s R epublic of China, by NewsRx journalists, research stated, “Supercriticalwater g asification (SCWG) is recognized as an efficient technology for biomass conversi on, demonstratingsubstantial potential in the sustainable energy sector. This p aper focuses on the H2 production by SCWGof biomass.”