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 ar tificial intelligence. According to news reportingoriginating from Xijing Unive rsity by NewsRx correspondents, research stated, “This study presents anovel me thodology that integrates the Impulse Excitation Technique (IET) and machine lea rning (ML)to predict local elastic properties within isolated regions of unidir ectional polymeric composite plates.”Funders for this research include Xi’an Science And Technology Plan - Talent Ser vice Enterprise Projectof Universities And Research Institutes.
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 ar tificial intelligence. According to news reportingoriginating from Xijing Unive rsity by NewsRx correspondents, research stated, “This study presents anovel me thodology that integrates the Impulse Excitation Technique (IET) and machine lea rning (ML)to predict local elastic properties within isolated regions of unidir ectional polymeric composite plates.”Funders for this research include Xi’an Science And Technology Plan - Talent Ser vice Enterprise Projectof Universities And Research Institutes.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting originatingin Kingston, Canada, by NewsRx journ alists, research stated, “With recent advances in mobile robotics,autonomous sy stems, and artificial intelligence, there is a growing expectation that robots a re able to solvecomplex problems. Many of these problems require multiple robot s working cooperatively in a multi-robotsystem.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting originatingin Kingston, Canada, by NewsRx journ alists, research stated, “With recent advances in mobile robotics,autonomous sy stems, and artificial intelligence, there is a growing expectation that robots a re able to solvecomplex problems. Many of these problems require multiple robot s working cooperatively in a multi-robotsystem.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting originating inJiangsu, People’s Republic of Chi na, by NewsRx journalists, research stated, “Trajectories of traditionalsprayin g robots are controlled through offline programming, cumbersome, inefficient, an d lack accuracy,especially for complex paths. This paper proposes a multi-objec tive trajectory planning method for athree-axis spraying robot based on hybrid polynomial interpolation and hybrid multi-objective NSGA-II(HMONSGA-II) to addr ess these issues.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting originating inJiangsu, People’s Republic of Chi na, by NewsRx journalists, research stated, “Trajectories of traditionalsprayin g robots are controlled through offline programming, cumbersome, inefficient, an d lack accuracy,especially for complex paths. This paper proposes a multi-objec tive trajectory planning method for athree-axis spraying robot based on hybrid polynomial interpolation and hybrid multi-objective NSGA-II(HMONSGA-II) to addr ess these issues.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Digestive System Disea ses and Conditions - Acute Pancreatitis isthe subject of a report. According to news originating from Hefei, People’s Republic of China, by NewsRxcorresponden ts, research stated, “The aim of this study was to build and validate a risk pre diction modelfor aspiration in severe acute pancreatitis patients receiving ear ly enteral nutrition (EN) by identifying riskfactors for aspiration in these pa tients. The risk factors for aspiration were analyzed to build a predictionmode l based on the data collected from 339 patients receiving enteral nutrition.”
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 originatingfrom Toulouse, France, by NewsRx correspondents, research stated, “As the vision of Ambient Intelligence(AmI) be comes more feasible, the challenge of designing effective and usable human-machi ne interactionin this context becomes increasingly important. Interactive Machi ne Learning (IML) offers a set oftechniques and tools to involve end-users in t he machine learning process, making it possible to buildmore trustworthy and ad aptable ambient systems.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Digestive System Disea ses and Conditions - Acute Pancreatitis isthe subject of a report. According to news originating from Hefei, People’s Republic of China, by NewsRxcorresponden ts, research stated, “The aim of this study was to build and validate a risk pre diction modelfor aspiration in severe acute pancreatitis patients receiving ear ly enteral nutrition (EN) by identifying riskfactors for aspiration in these pa tients. The risk factors for aspiration were analyzed to build a predictionmode l based on the data collected from 339 patients receiving enteral nutrition.”
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 originatingfrom Toulouse, France, by NewsRx correspondents, research stated, “As the vision of Ambient Intelligence(AmI) be comes more feasible, the challenge of designing effective and usable human-machi ne interactionin this context becomes increasingly important. Interactive Machi ne Learning (IML) offers a set oftechniques and tools to involve end-users in t he machine learning process, making it possible to buildmore trustworthy and ad aptable ambient systems.”
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