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    Studies from National Institute of Technology Karnataka Yield New Information ab out Computational Intelligence (Node Classification In Weighted Complex Networks Using Neighborhood Feature Similarity)

    97-98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 - Com putational Intelligence is the subject of a report. According to news reporting originating from Surathkal, India, by NewsRx correspondents, research stated, “T he potential of graph representation learning schemes has attained great accepta nce in diverse, complex network applications. Most of the existing Graph Neural Network (GNN) architectures explore the node features aggregation and feature tr ansformation within the neighborhoods, mainly performed on the unweighted graphs .”

    Studies from Hohai University Add New Findings in the Area of Artificial Intelli gence (The Impact of Artificial Intelligence Replacing Humans in Making Human Re source Management Decisions on Fairness: A Case of Resume Screening)

    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 discuss new findings in artificial intelligence. According to news originating from Nanjing, People’s Re public of China, by NewsRx correspondents, research stated, “A growing number of organizations have used artificial intelligence (AI) to make decisions to repla ce human resource (HR) workers; yet, the fairness perceptions of the people affe cted by the decision are still unclear.”

    New Findings Reported from Chulalongkorn University Describe Advances in Robotic s (Improving Long Term Accuracy of Visual Localization in Urban Environment)

    99-100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 Bangkok, Thailand, by NewsRx editors, research stated, “Localization remains a pivotal aspect of mobile robo tics, with robots being required to discern their position by comparing sensor i nputs against a pre-established environmental map.” Funders for this research include Office of National Higher Education Science Re search And Innovation Policy Council; Obodroid Corporation Company Ltd..

    Study Data from Department of Mechanical Engineering Update Knowledge of Machine Learning (Prediction of Optimal Parameter Settings and Significant Parameter fo r Reduced Geometric Deviations Through Multi Criteria Decision Making and Machine ...)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting from Coimbatore, India, by NewsRx journalists, rese arch stated, “Part dimensional inaccuracies serve as a barrier from adopting Add itive Manufacturing (AM) processes in mass production. Fused Deposition Modeling (FDM) is a thermoplastic based low cost AM process which can create conceptual models, prototypes and end user industrial parts.”

    Study Findings from Hebei University of Technology Broaden Understanding of Robo tics (A Robust Optimization Framework for Design of Robotic System With Kinemati c and Dynamic Criteria)

    101-102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 Robotics is the subjec t of a report. According to news reporting originating in Tianjin, People’s Repu blic of China, by NewsRx journalists, research stated, “Industrial robot, as one class of digitalized intelligent equipment, plays a significant role in enhanci ng production efficiency and quality through implementing desired kinematic prec ision and reliable performance for modern hightech industries. This study propo ses a robust optimization framework to account for the kinematic and dynamic unc ertainties in industrial robotic systems.”

    Studies from University of Michigan Reveal New Findings on Machine Learning (Pre dicting Aggregation Rates of Polycyclic Aromatics Through Machine Learning)

    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 discuss new findings in Machine Learning. According to news reporting originating in Ann Arbor, Michigan , by NewsRx journalists, research stated, “The transition of gas -phase polycycl ic aromatic compounds (PACs) into mature soot particles stands as a critical sta ge in the process of soot formation. However, formulating an accurate estimation of the rates of these processes poses a challenge, stemming from the need to co nsider the energy barriers controlling the dimerization of PACs.”

    Findings from Qingdao University of Technology Yields New Data on Robotics (Desi gn and Motion Mechanism Analysis of Screwdriven In-pipe Inspection Robot Based On Novel Adapting Mechanism)

    103-103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 originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “In the pipeline i ndustry, it is often necessary to monitor cracks and damage in pipelines, or nee d to clean the inside of the pipeline regularly, or collect adhesive on the inne r wall of the pipe, but the pipe is too narrow and difficult for humans to enter , it is necessary to use a pipe machine to complete the work. In this paper, a n ewly designed screw-driven in-pipe inspection robot (IPIR) is proposed.”

    Researchers from Hefei University of Technology Detail New Studies and Findings in the Area of Computational Intelligence (Fuzzy Ranking-based Preference Comple tion Via Graph Pattern Matching and Rematching)

    104-104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 Machine Learning - Computational Intelligence. According to news originating fro m Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “As an emerging topic on preference learning, aiming at deducting the linear ord er of alternatives from the partial ranking, preference completion is to complet e the preference of the target agent to form a linear order from the preferences of other agents under certain complex requirements. In order to improve the eff ectiveness and efficiency of preference completion in Big Data environments, fir stly the preference graph is introduced to represent the collective preference o f the agents over the alternatives with a certain consensus algorithm following the preference of the target agent.”

    Patent Application Titled 'Coating Device And Corresponding Coating Process' Pub lished Online (USPTO 20240139768)

    105-108页
    查看更多>>摘要:Reporters obtained the following quote from the background information supplied by the inventors: “The disclosure concerns a coating device for coating componen ts with a coating agent, in particular for painting vehicle body components with a paint. Furthermore, the disclosure concerns a corresponding operating method. “For the serial painting of car body components, rotary atomizers are usually us ed as application devices, which however have the disadvantage of a limited appl ication efficiency, i.e. only a part of the applied paint is deposited on the co mponents to be coated, while the rest of the applied paint must be disposed of a s so-called overspray.

    Patent Issued for Machine learning in video classification with playback highlig hting (USPTO 11972099)

    109-111页
    查看更多>>摘要:The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “1. Field of the Disclosure “This disclosure pertains in general to media content classification, and more s pecifically to classifying portions of media content using machine-learning dete ctors and modifying user interface elements based on the classification. “2. Description of the Related Art “As the creation and sharing of digital media becomes more widespread, it become s increasingly difficult to process the flood of information to find desired con tent. For example, the number of video files that are created and shared on the Internet have exceeded what can be manually reviewed by one or even a team of cu rators. However, conventional search engines are limited in their ability to sea rch video content. Text-based search engines search for content using search str ings that match text descriptors associated with media content. Often, text cann ot accurately describe video content, and the search engine is unable to identif y objects within the video based on text inputs.”