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    University of Waterloo Reports Findings in Machine Learning (Material characteri zation of human middle ear using machine-learningbased surrogate models)

    10-11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 the subject of a report. According to news reporting originating in Waterloo, Cana da, by NewsRx journalists, research stated, “This study aims to introduce a nove l non-invasive method for rapid material characterization of middle-ear structur es, taking into consideration the invaluable insights provided by the mechanical properties of ear tissues. Valuable insights into various ear pathologies can b e gleaned from the mechanical properties of ear tissues, yet conventional techni ques for assessing these properties often entail invasive procedures that preclu de their use on living patients.”

    Data from University of Stuttgart Advance Knowledge in Robotics (Merging Archite ctural Design and Robotic Planning using Interactive Agent-Based Modelling for C ollective Robotic Construction)

    11-11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 originating from Stuttgart, Germany, by New sRx correspondents, research stated, “Most research on collective robotic constr uction (CRC) separates the architectural design and robotic path planning phases of the overall construction process.”

    Research from Transilvania University Yields New Data on Machine Learning (Flood mapping based on novel ensemble modeling involving the deep learning, Harris Ha wk optimization algorithm and stacking based machine learning)

    12-12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 reporting originating from Transilvania University by NewsRx correspondents, research stated, “Among the various natural disasters tha t take place around the world, flood is considered to be the most extensive. The re have been several floods in Buzau river basin, and as a result of this, the a rea has been chosen as the study area.”

    New Machine Learning Research Has Been Reported by Researchers at Saitama University (Machine learning prediction models for ground motion parameters and seismi c damage assessment of buildings at a regional scale)

    13-13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 new report. According to news reporting originating from S aitama, Japan, by NewsRx correspondents, research stated, “This study examines the feasibility of using a machine learning approach for rapid damage assessment of reinforced concrete (RC) buildings after the earthquake. Since the real-world damaged datasets are lacking, have limited access, or are imbalanced, a simulat ion dataset is prepared by conducting a nonlinear time history analysis.”

    Report Summarizes Machine Learning Study Findings from University of Tennessee ( Unit Operation and Process Modeling With Physics-informed Machine Learning)

    14-14页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news originating from Knoxville, Tennessee, by NewsRx co rrespondents, research stated, “Machine learning (ML) is increasingly implemente d to model water infrastructure dynamics. Common ML models are primarily data-dr iven and require a significant amount of data for robust training.”

    Study Results from University of Shanghai for Science and Technology Broaden Und erstanding of Robotics (Robotic Disassembly of Screws for End-of-life Product Re manufacturing Enabled By Deep Reinforcement Learning)

    15-15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 Shanghai, People's Republic of China, by NewsRx correspondents, research stated, “Robot-assisted screw removal can g reatly facilitate the disassembly and remanufacturing automation of end-oflife p roducts to realise circular economies. However, it is challenging to determine the exact positions of disassembling screws in practical remanufacturing environm ents.”

    New Findings Reported from Northeastern University Describe Advances in Robotics (Social Robot Accessories for Tailoring and Appropriation of Social Robots)

    16-16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 from Boston, Massachusett s, by NewsRx correspondents, research stated, “The design of robots for everyday use should take into account the specific nature of the individual end-user and the possibility of interactions with multiple users in diverse scenarios, promo ting versatility and increasing the chances of their successful adoption in ever yday environments. Most robots are designed, however, to perform tasks and inter act in typical social scenarios with an abstract human user.”

    Reports on Robotics from Xiamen University Provide New Insights (Research On the Modification of the Tool Influence Function for Robotic Bonnet Polishing With S tiffness Modeling)

    17-17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 Robotics are disc ussed in a new report. According to news originating from Xiamen, People's Repub lic of China, by NewsRx correspondents, research stated, “Robotic bonnet polishi ng (RBP) technology is widely used in the polishing process of optical component s, but industrial robots have the characteristics of a wide processing range and low body stiffness. Therefore, in the actual polishing process, there are diffe rent polishing forces due to different stiffnesses, which leads to different too l influence functions (TIF) affecting the surface quality of optical components. ”

    Research Data from Shanghai Maritime University Update Understanding of Support Vector Machines (Rolling bearing fault diagnosis based on fine-grained multi-sca le Kolmogorov entropy and WOA-MSVM)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in . Accor ding to news originating from Shanghai, People's Republic of China, by NewsRx ed itors, the research stated, “In allusion to solve the issue of fault diagnosis f or bearing and other rotatory machinery, a technique based on fined-grained mult i-scale Kolmogorov entropy and whale optimized multi-class support vector machin e (abbreviated as FGMKE-WOA-MSVM) is proposed.”

    Reports Summarize Artificial Intelligence Study Results from Pdpm Indian Institu te of Information Technology Design & Manufacturing (S-divergence- based Internal Clustering Validation Index)

    18-19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 - Artificial Intelligence. According to news originating from Mad hya Pradesh, India, by NewsRx correspondents, research stated, “A clustering val idation index (CVI) is employed to evaluate an algorithm's clustering results. G enerally, CVI statistics can be split into three classes, namely internal, exter nal, and relative cluster validations.”