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    Hengshui University Researcher Provides Details of New Studies and Findings in t he Area of Artificial Intelligence (Research on the Role of Artificial Intellige nce- Based Student Management Strategies in the Cultivation of Students’ Innovative ...)

    1-1页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news originating from Hebei, People’ s Republic of China, by NewsRx editors, the research stated, “Under the backgrou nd of the new era, the trend of diversification of college students’ group behav ior is obvious; the traditional student management mode cannot meet the needs of education and teaching in the new era of colleges and universities, and the ref orm of student management is imminent.”

    Study Findings on Robotics Described by a Researcher at Department of Electrical and Computer Engineering (A Numerical Integrator for Kinetostatic Folding of Protein Molecules Modeled as Robots with Hyper Degrees of Freedom)

    2-2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 available. According to news reporting out of Dearborn, Michigan, by NewsRx editors, re search stated, “The kinetostatic compliance method (KCM) models protein molecule s as nanomechanisms consisting of numerous rigid peptide plane linkages.” Financial supporters for this research include National Science Foundation.

    Southeast University Researcher Yields New Data on Robotics (Coordinated Ship We lding with Optimal Lazy Robot Ratio and Energy Consumption via Reinforcement Learning)

    3-3页
    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 out of Nanjing, People’s Republic o f China, by NewsRx editors, research stated, “Ship welding is a crucial part of ship building, requiring higher levels of robot coordination and working efficie ncy than ever before.” Financial supporters for this research include National Natural Science Foundati on of China; Research Fund For Advanced Ocean Institute of Southeast University.

    Study Data from Shanghai Jiao Tong University Provide New Insights into Robotics (A Novel Laser Stripe Key Point Tracker Based On Self-supervised Learning and I mproved Kcf for Robotic Welding Seam Tracking)

    4-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Robotics are discussed in a new report. According to news reporting originating in Shanghai, People’s Republ ic of China, by NewsRx journalists, research stated, “Laser vision based realti me welding seam tracking has emerged as a potent strategy for enabling intellige nt robotic welding. And trackers based seam key point tracking algorithms demons trate remarkable adaptability to complex welding environments.”

    University of Guelph Reports Findings in Coronavirus (Predicting host species su sceptibility to influenza viruses and coronaviruses using genome data and machin e learning: a scoping review)

    5-5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 RNA Viruses - Coronavi rus is the subject of a report. According to news reporting originating in Guelp h, Canada, by NewsRx journalists, research stated, “Predicting which species are susceptible to viruses (i.e., host range) is important for understanding and de veloping effective strategies to control viral outbreaks in both humans and anim als. The use of machine learning and bioinformatic approaches to predict viral hosts has been expanded with advancements in techniques.” Financial support for this research came from Canada First Research Excellence Fund.

    Findings from Carnegie Mellon University Provides New Data about Machine Learning (Unifying Theory of Electronic Descriptors of Metal Surfaces Upon Perturbation )

    6-6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 Machine Learning is th e subject of a report. According to news reporting out of Pittsburgh, Pennsylvan ia, by NewsRx editors, research stated, “We present a unifying theory for predic ting electronic descriptors (e.g., the d-band center is an element of(d)) of tra nsition and noble metal surfaces by interpretable deep learning.”

    Findings from Fudan University Has Provided New Data on Robotics (Motion Traject ory Perception of an Earthworm-like Robot Using an Inertial Measurement Unit and Autonomous Zupt)

    6-7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 out of Shanghai, People’s Republic of Chin a, by NewsRx editors, research stated, “Taking inspiration from natural organism s, the field of bioinspired robotics is advancing rapidly. Earthworm-like robots , in particular, have undergone significant development, progressing from linear to planar motion.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Shanghai Pilot Program for Basic Research-Fudan University.

    Research from Khulna University of Engineering & Technology Yields New Study Findings on Machine Learning (High-Strength Self-Compacting Concrete Production Incorporating Supplementary Cementitious Materials: Experimental Eval uations and ...)

    7-8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 artificial intelligence. According to news reporting from Khulna University of Engineering & Technology by NewsRx journalists, research stated, “This study investigates mechanical properties, durability performance, non-destru ctive testing (NDT) characteristics, environmental impact evaluation, and advanc ed machine learning (ML) modelling techniques employed in the analysis of high-s trength self-compacting concrete (HSSCC) incorporating varying supplementary cem entitious materials (SCMs) to develop sustainable building construction.”

    Findings from Nanjing University of Aeronautics and Astronautics in Robotics Rep orted (A Gecko-inspired Robot Using Novel Variablestiffness Adhesive Paw Can Cl imb On Rough/smooth Surfaces In Microgravity)

    8-9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. According to news reporting from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Space-wall-climbing robots face the chall enge of stably attaching to and moving on spacecraft surfaces, which include smo oth flat areas and rough intricate surfaces. Although adhesion-based wall-climbi ng robots demonstrate stable climbing on smooth surfaces in outer space, there i s scarce research on their stable adhesion on rough surfaces within a microgravi ty environment.”

    Study Findings on Machine Learning Discussed by a Researcher at China Geological Survey (A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensembl e Machine-Learning to Predict Landslide Susceptibility)

    9-10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 artificial intelligence is now available. According to news reporting originating from Changsha, People ’s Republic of China, by NewsRx correspondents, research stated, “The accuracy o f data-driven landslide susceptibility prediction depends heavily on the quality of nonlandslide samples and the selection of machine-learning algorithms. Curr ent methods rely on artificial prior knowledge to obtain negative samples from l andslide-free regions or outside the landslide buffer zones randomly and quickly but often ignore the reliability of non-landslide samples, which will pose a se rious risk of including potential landslides and lead to erroneous outcomes in t raining data.”