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 from Ningbo, People’s Repub lic of China, by NewsRx journalists, research stated, “Like many pixel-based add itive manufacturing (AM) techniques, digital light processing (DLP) based vat ph otopolymerization faces the challenge that the square pixel based processing str ategy can lead to zigzag edges especially when feature sizes come close to singl e-pixel levels.”
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 artificial intelligence is now available. According to news reporting from Kobe, Japan, by NewsRx journ alists, research stated, “Traditionally, angle measurements have been performed using a goniometer, but the complex motion of shoulder movement has made these m easurements intricate. The angle of rotation of the shoulder is particularly dif ficult to measure from an upright position because of the complicated base and m oving axes.”
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 Toronto, Canada, by NewsRx ed itors, research stated, “High-entropy materials (HEMs) have recently emerged as a significant category of materials, offering highly tunable properties. However , the scarcity of HEM data in existing density functional theory (DFT) databases , primarily due to computational expense, hinders the development of effective m odeling strategies for computational materials discovery.”
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 originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “This research is dedicated to exploring the dynamics of milling chatter stability in orthopedic surgery robot s, focusing on the impact of position modal parameters on chatter stability. Ini tially, we develop a dynamic milling force model for the robotic milling process that integrates both modal coupling and regenerative effects.”
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 Robotics have been published. According to news reporting originating from Nantes, France, by NewsRx correspondents, research stated, “In manufacturing industry, computer nu merical control (CNC) machines are often preferred over industrial serial robots (ISR) for machining tasks. Indeed, CNC machines offer high positioning accuracy , which leads to slight dimensional deviation on the final product.”
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 - Sup port Vector Machines is the subject of a report. According to news reporting fro m Maharashtra, India, by NewsRx journalists, research stated, “In the power syst em protection when a conductor accidentally makes contact with a highly resistiv e medium, a HIF problem arises. Because of their lowest current amplitude and in credibly varied features, the HIF are challenging to detect.”
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 from Canberra, Australia, b y NewsRx journalists, research stated, “Machine learning (ML) as a subset of art ificial intelligence (AI), has gained significant attention in wind engineering applications over the past decade. Wind load predictions for tall buildings usin g ML studies presented in literature have always been limited to static pressure measurements or time history measurements without considering the spatial coord inates system.”
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 Jiangsu, People’s Republic of Ch ina, by NewsRx journalists, research stated, “This paper presents the design and analysis of a family of full-hinged partially-decoupled novel parallel mechanis ms (PMs) featuring one/two translation(s) and one rotation (1T1R/2T1R). First, t hree 2DOF 1T1R and one 3DOF 2T1R novel spatial PMs are proposed, according to to pology design theory of PM based on position and orientation characteristic (POC ) equations.”
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 Nanchang, People’s Republic of China, by NewsRx correspondents, research stated, “Fully supervised machine learning models are widely applied for landslide susceptibility prediction (LSP) , mainly using landslide and non -landslide samples as output variables and rela ted conditioning factors as input variables. However, there are many uncertain i ssues in LSP modelling; for example, known landslide samples may have errors, no n -landslide samples randomly selected from the whole study area are not accurat e, the ratio of landslide to non -landslide samples set as 1:1 is not consistent with the actual landslide distribution characteristics, it is unreasonable to a ssign samples labelled non -landslide a probability of 0, and it is difficult to achieve a comprehensive assessment of LSP performance.”
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 out of Guangdong, People’s Republi c of China, by NewsRx editors, research stated, “This paper obtains design deman d keywords from online review data of cultural and creative products and builds a framework of modern cultural and creative product design demand in the era of artificial intelligence by combining with consumption intention.”
NETL
NSTL