查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions is the subject of a report.According to news originating from Jiangxi, People’s Republic of China, by NewsRx correspondents, research stated, “Cardiovascular disease (CVD) remains a leading cause of mortality globally.Env ironmental pollutants, specifically volatile organic compounds (VOCs), have been identified as significant risk factors.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report.According to news reporting out of Changsha, Peop le’s Republic of China, by NewsRx editors, research stated, “Efficient and accur ate damage identification methods are great significant for ensuring the structu ral safety.This study proposes a multi-stage damage identification method for p restressed concrete (PC) structures based on machine learning driven by piezoele ctric singular feature to improve the identification accuracy.”Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key Research & Development Program of China, Science and Technology Innovation Program of Hunan Province.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published.According to news reporting originating from Madrid, Sp ain, by NewsRx correspondents, research stated, “This contribution describes the development of a set of numerical methods based on Machine Learning algorithms to generate an automated classification of experimental Thermoluminescence (TL) Glow Curves obtained routinely by Dosimetry Services.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in robotics.A ccording to news reporting out of Wuhan, People’s Republic of China, by NewsRx e ditors, research stated, “The inverse kinematics of robotic manipulators involve s determining an appropriate joint configuration to achieve a specified end-effe ctor position.This problem is challenging because the inverse kinematics of man ipulators are highly nonlinear and complexly coupled.”
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 Ma chine Learning.According to news reporting originating from London, United King dom, by NewsRx correspondents, research stated, “We use supervised machine learn ing to predict Hodge numbers for Calabi-Yau threefolds encoded by reflexive poly hedra.The Hodge number is invariant to the order of the vertices and the swappi ng of axes.”Financial supporters for this research include Simons Collaboration in Special H olonomy, Statistical Online Computational Resources (SOCR), Imperial College Lon don.
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 originating from Fukuoka, Japan, by NewsRx correspondents, research stated, “Robots with parallel-link structures are generally considered useful for achieving high-speed motion; however, they are typically large in si ze.”The news journalists obtained a quote from the research from Fukuoka Institute o f Technology: “Robot size can be reduced by using a serial-link structure.Howev er, their moving parts, typically having a large mass or moment of inertia, are considered unsuitable for high-speed motion.High-speed motion performance can b e improved by avoiding mounting actuators on the moving parts using some method to transmit the drive force or motion.In this letter, we propose a model in whi ch a non-pulley musculoskeletal robot, previously studied by us, is modified to avoid mounting actuators on the movable parts.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report.According to news originating from Newark, New Jersey, by Ne wsRx correspondents, research stated, “Many real-world applications require real -time and robust positioning of Internet of Things (IoT) devices.In this contex t, visible light communication (VLC) is a promising approach due to its advantag es in terms of high accuracy, low cost, ubiquitous infrastructure, and freedom f rom RF interference.”Financial support for this research came from Northern Border University.
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 Ma chine Learning.According to news reporting out of Madrid, Spain, by NewsRx edit ors, the research stated, “In addition to temporal effects, spatial effects must be considered in models of traffic intensity.Temporal effects (temporal autoco rrelation) and spatial proximity shape observed traffic intensity, with repetiti ve patterns of peak and trough hours on weekdays and simultaneous peaks in traff ic intensity picked up by traffic sensors along roadways of similar capacity.”
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 artific ial intelligence.According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Solid wood is renowned as a sup erior material for construction and furniture applications.”Financial supporters for this research include China Postdoctoral Science Founda tion; Natural Science Foundation of Jiangsu Province; National Natural Science F oundation of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report.According to news reporting originating from Shanghai, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Panoptic s egmentation plays a crucial role in enabling robots to comprehend their surround ings, providing fine-grained scene understanding information for robots’ intelli gent tasks.”
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