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    University of Shanghai for Science and Technology Researcher Publishes New Studi es and Findings in the Area of Androids (A Two- Stage Facial Kinematic Control St rategy for Humanoid Robots Based on Keyframe Detection and Keypoint Cubic Spline ...)

    97-98页
    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 an droids.According to news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “A plentiful number of facial expres sions is the basis of natural human-robot interaction for high-fidelity humanoid robots.”

    Researchers’ Work from National University of Defense Technology Focuses on Robo tics and Automation (Neural Observation Field Guided Hybrid Optimization of Came ra Placement)

    98-99页
    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 Ro botics - Robotics and Automation.According to news reporting originating from C hangsha, People’s Republic of China, by NewsRx correspondents, research stated, “Camera placement is crutial in multi-camera systems such as virtual reality, au tonomous driving, and high-quality reconstruction.The camera placement challeng e lies in the nonlinear nature of high-dimensional parameters and the unavailabi lity of gradients for target functions like coverage and visibility.”

    London School of Hygiene and Tropical Medicine Reports Findings in Acute Appendi citis (An Approach for Combining Clinical Judgment with Machine Learning to Info rm Medical Decision Making: Analysis of Nonemergency Surgery Strategies for Acut e ...)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Digestive System Disea ses and Conditions - Acute Appendicitis is the subject of a report.According to news reporting originating from London, United Kingdom, by NewsRx correspondent s, research stated, “Machine learning (ML) methods can identify complex patterns of treatment effect heterogeneity.However, before ML can help to personalize d ecision making, transparent approaches must be developed that draw on clinical j udgment.”Financial support for this research came from National Institute for Health Rese arch: Better Methods Better Health.

    Research from Hohai University Yields New Study Findings on Robotics (Vibration Position Detection of Robot Arm Based on Feature Extraction of 3D Lidar)

    100-101页
    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 reporting from Changzhou, People’s Republic of China, by N ewsRx journalists, research stated, “In the process of construction, pouring and vibrating concrete on existing reinforced structures is a necessary process.”Financial supporters for this research include National Natural Science Foundati on of China.

    Recent Findings from University of Granada Provides New Insights into Machine Le arning (Estimating Response Propensities In Nonprobability Surveys Using Machine Learning Weighted Models)

    101-102页
    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 Granada, Spain , by NewsRx editors, research stated, “Propensity Score Adjustment (PSA) is a wi dely accepted method to reduce selection bias in nonprobability samples.In this approach, the (unknown) response probability of each individual is estimated in a nonprobability sample, using a reference probability sample.”

    New Artificial Intelligence Data Has Been Reported by a Researcher at Carleton U niversity (Future Perspective: Harnessing the Power of Artificial Intelligence i n the Generation of New Peptide Drugs)

    102-103页
    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 ar tificial intelligence.According to news reporting out of Ottawa, Canada, by New sRx editors, research stated, “The expansive field of drug discovery is continua lly seeking innovative approaches to identify and develop novel peptide-based th erapeutics.”Financial supporters for this research include Natural Science And Engineering R esearch Council (Nserc) of Canada Discovery; Cancer Research Society.

    Zhejiang University Researcher Focuses on Artificial Intelligence (A comprehensi ve review of metasurface-assisted direction-of-arrival estimation)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on artificial intelligence is now ava ilable.According to news originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Direction of arrival (DoA) estimati on is a key research focus in array signal processing, and numerous progressive directionfinding algorithms have already been developed.”Financial supporters for this research include Key Research And Development Prog ram of Zhejiang Province; Fundamental Research Funds For The Central Universitie s; Key Research And Development Program of The Ministry of Science And Technolog y; National Natural Science Foundation of China; Natural Science Foundation of Z hejiang Province; Top-notch Young Talent of Zhejiang Province.

    Research from Chinese Academy of Sciences Has Provided New Study Findings on Rob otics (Role of Tail Dynamics on the Climbing Performance of Gecko-Inspired Robot s: A Simulation and Experimental Study)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented.According to news reporting from Hefei, People’s Republic of China, by NewsRx journalists, research stated, “Geckos are renowned for their exceptional climbing abilities, enabled by their specialized feet with hairy toes that attac h to surfaces using van der Waals forces.”Financial supporters for this research include Nation Key R&D Progr am of China; Special Key Project of Technological Innovation And Application Dev elopment in Chongqing.

    Findings from East China Normal University Provides New Data on Machine Learning (Machine Learning-based Monitoring of Mangrove Ecosystem Dynamics In the Indus Delta)

    105-106页
    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 Machine Learning is now available.According to news reporting originating in Shanghai, People’s Republ ic of China, by NewsRx journalists, research stated, “Mangrove forests play a vi tal role in carbon sequestration, typhoon-induced wave attenuation, and the prov ision of ecological services.However, mangrove ecosystems have experienced larg e-scale loss globally due to rising sea levels and anthropogenic activities.”Funders for this research include National Natural Science Foundation of China ( NSFC), National Key R & D Program of China, Shanghai International Science and Technology Cooperation Fund Project, International Joint Laboratory of Estuarine and Coastal Research, Shanghai, Research Scheme of the University Research Facility of Data Science & Artificial Intelligence at the Education University of Hong Kong.

    Studies from Federal University of Technology - Parana - UTFPR Have Provided New Data on Robotics (A Method To Balancing Robotic Mixed-model Assembly Lines: Pra ctical Constraints, Computational Challenges, and Performance Estimation)

    106-107页
    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 Robotics.According to news reporting originating from Curitiba, Brazil, by News Rx correspondents, research stated, “This paper considers a robotic assembly lin e with various practical constraints.These have been previously modeled mathema tically, but extending it to consider mixed-model production presents two challe nges: computational costs increase substantially with problem size, and devising a theoretical model for practical performance is difficult within mathematical programming.”