首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Data on Machine Learning Described by a Researcher at Jilin University (Predicti on of Capillary Pressure Curves Based on Particle Size Using Machine Learning)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Changchun, People ’s Republic of China, by NewsRx correspondents, research stated, “Capillary pres sure curves are usually obtained through mercury injection experiments, which ar e mainly used to characterize pore structures. However, mercury injection experi ments have many limitations, such as operation danger, a long experiment period, and great damage to the sample.” Funders for this research include Xinjiang Backbone Talent Training Program; Nat ional Natural Science Foundation of China; Student Innovation And Entrepreneursh ip Project of Xinjiang Institute of Engineering.

    Study Data from Federal University of Para Update Understanding of Machine Learn ing (Comparative Analysis of Machine Learning Techniques for Identifying Multipl e Force Systems from Accelerometer Measurements)

    88-89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 Belem, Brazil, b y NewsRx correspondents, research stated, “The knowledge of the forces acting on a structure enables, among many other factors, assessments of whether the compo nent’s useful life is compromised by the current machine condition.” Financial supporters for this research include Pro-rectory of Research And Post- graduate Studies Propesp/ufpa.

    Reports from University of Limerick Highlight Recent Findings in Robotics (From Virtual To Actual Assisted Tape Placement - Application of the Frenet Frame To R obotic Steering Trajectories)

    89-89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 Limerick, Ireland, by NewsRx journalis ts, research stated, “A novel computational tool is presented that integrates th e design and manufacturing of variable-angle tow composites for automated tape p lacement, facilitating the creation of tow-steered trajectories for cut-outs. St eering movements of the robot are planned and executed within a MATLAB virtual e nvironment via short paths and linear commands.” Financial support for this research came from Science Foundation Ireland (SFI).

    Study Results from University of Electronic Science and Technology of China Broa den Understanding of Machine Learning (Machine Learning-based Systems for Early Warning of Rainfall-induced Landslide)

    90-90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 Ma chine Learning. According to news reporting originating in Sichuan, People’s Rep ublic of China, by NewsRx journalists, research stated, “Landslide disasters hav e inflicted incalculable losses on China’s national economy, as well as on lives and property. Notably, 90% of landslide disasters are directly in duced by rainfall or have indirect associations with it.” Financial supporters for this research include Key Science and Technology Projec t of Yunnan Province, Science Research Program of Natural Resources Department o f Sichuan Province.

    New Machine Learning Findings Reported from Kielce University of Technology (Exp loring Machine Learning Models To Predict the Unfrozen Water Content In Copper-c ontaminated Clays)

    91-91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 Machine Learn ing have been published. According to news reporting originating from Kielce, Po land, by NewsRx correspondents, research stated, “The article provides new insig hts into predicting unfrozen water content(unf) n f ) in clays contaminated with copper. The objectives of this study included creating machine learning predict ion models based on Gaussian Process Regression (GPR), Support Vector Machine (S VM), and Random Forest (RF) algorithms.” Financial support for this research came from Faculty of Environmental Engineeri ng, Geomatics and Renewable Energy of the Kielce University of Technology.

    Maynooth University Researcher Provides Details of New Studies and Findings in t he Area of Robotics (State-of-the-Art Flocking Strategies for the Collective Mot ion of Multi-Robots)

    91-92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 originating from Kildare, Ireland, by NewsRx editors, the research stated, “The technological revolution has transformed the area of labor with reference to automation and robotization in various domains. The empl oyment of robots automates these disciplines, rendering beneficial impacts as ro bots are cost-effective, reliable, accurate, productive, flexible, and safe.”

    Research on Artificial Intelligence Detailed by Researchers at Hamburg Universit y of Applied Science (Balancing public interest, fundamental rights, and innovat ion: The EU’s governance model for non-high-risk AI systems)

    92-93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 out of Hamburg University o f Applied Science by NewsRx editors, research stated, “The question of the concr ete design of a fair and efficient governance framework to ensure responsible te chnology development and implementation concerns not only high-risk artificial i ntelligence systems.”

    Data on Artificial Intelligence Reported by Michael D. Matthias and Colleagues ( Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials .gov: Cross-Sectional Study With Temporal Trends, 2010-2023)

    93-94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 Artificial Intelligenc e is the subject of a report. According to news reporting from Brisbane, Austral ia, by NewsRx journalists, research stated, “The rapid growth of research in art ificial intelligence (AI) and machine learning (ML) continues. However, it is un clear whether this growth reflects an increase in desirable study attributes or merely perpetuates the same issues previously raised in the literature.”

    New Findings from Victoria University Wellington in the Area of Machine Learning Published (Analysis of signals from air conditioner compressors with ordinal pa tterns and machine learning)

    94-95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 originating from Wellington, New Zealand, b y NewsRx correspondents, research stated, “Most machines are equipped with devic es that monitor their operation. Air conditioners, in particular, are routinely monitored through various measurements.”

    Tongji University Reports Findings in Machine Learning (Intelligent Evaluation o f Interference Effects Between Tall Buildings Based On Wind Tunnel Experiments a nd Explainable Machine Learning)

    95-96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, “The interference effects o f taller high-rise buildings significantly impact the nearby shorter highrise bu ildings in dense urban areas, potentially leading to severe wind-induced disaste rs. This study aims to develop a universal intelligent assessment method to pred ict the aerodynamic forces and wind-induced responses of buildings, considering various interfering and coupling factors.”