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    Study Data from Northwestern Polytechnic University Update Knowledge of Robotics (Propulsion Performance of a Cownose Ray Inspired Robotic Fish Flapping Pectora l Fins Near the Ground)

    106-107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 Robotics are presented i n a new report. According to news originating from Xi’an, People’s Republic of C hina, by NewsRx correspondents, research stated, “Cownose rays usually swim near the ground in the ocean and their swimming is inevitably affected by the ground effect. In this work, the hydrodynamic performance of cownose rays during near- ground swimming is investigated by experimental tests.”

    Findings from University of Hawaii at Manoa Provide New Insights into Machine Le arning (Explosion Detection Using Smartphones: Ensemble Learning with the Smartp hone High-Explosive Audio Recordings Dataset and the ESC-50 Dataset)

    107-108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 from Kailua Kona, Hawaii, by News Rx journalists, research stated, “Explosion monitoring is performed by infrasoun d and seismoacoustic sensor networks that are distributed globally, regionally, and locally.” Financial supporters for this research include Department of Energy National Nuc lear Security Administration.

    Reports Summarize Machine Learning Study Results from Xiamen University (Underst anding Temporary Residential Mobility During Urban Renewal: Insights From a Stru ctured Community Survey and Machine Learning Analysis)

    108-109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 in Xiamen, Peop le’s Republic of China, by NewsRx journalists, research stated, “Existing studie s on urban renewal have primarily focused on the final effects of urban redevelo pment, while often overlooked the social costs incurred during the temporary dis placement phase. This gap is significant, as many residents must vacate their ho mes for an average of 3-5 years during Shantytown redevelopment, which brings ab out challenges of renting houses and the associated negative impacts on their we ll-being before returning to their resettled homes.”

    Studies from Ton Duc Thang University Have Provided New Information about Machin e Learning (A Hybrid Machine Learning Approach for Designing a New Xy Compliant Mechanism To Maximize Fatigue Life)

    109-110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 out of Ho Chi Minh City, Vietnam, by New sRx editors, research stated, “An XY-compliant mechanism is a two-degree of free dom positioner which is considered to have some distinguishing characteristics i n ultra-precision technology. To ensure a long working life, it is necessary to study the fatigue life, however, in the related works of the XY-compliant mechan ism, no research into design optimization for maximum fatigue life has been cond ucted so far.”

    Data on Machine Learning Discussed by Researchers at Chinese Academy of Sciences (A Practical Machine Learning Approach To Retrieve Land Surface Emissivity From Space Using Visible and Near-infrared To Short-wave Infrared Data)

    110-111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 Machine Learning are pre sented in a new report. According to news originating from Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Land surface emissiv ity (LSE) is a crucial variable in thermal infrared (TIR) remote sensing, provid ing unique information about the land surface across different channels. It is e ssential for applications such as surface energy budget estimation, resource exp loration, and land cover change monitoring.” Funders for this research include National Key R & D Program of Ch ina, National Natural Science Foundation of China (NSFC).

    Researchers from University of Hertfordshire Report Recent Findings in Artificia l Intelligence (Statistical and Artificial Intelligencebased Tools for Building Energy Prediction: a Systematic Literature Review)

    112-112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 Artificial In telligence have been published. According to news reporting originating from Hat field, United Kingdom, by NewsRx correspondents, research stated, “The applicati on of statistical and artificial intelligence (AI) tools in building energy pred iction (BEP) is considered one of the most effective advances toward improving e nergy efficiency. Thus, researchers are constantly propagating the energy predic tion field with many prediction models using diverse statistical and AI tools.”

    Investigators at Franciscan University Report Findings in Nanocatalysts (Biosynt hesis and Characterization of a Novel Supported Nanocatalyst for the Methylene B lue Dye Photodegradation: Machine Learning Modeling and Photocatalytic Activity)

    113-113页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Nanotechnology - Nanocatalys ts are discussed in a new report. According to news reporting originating in San ta Maria, Brazil, by NewsRx journalists, research stated, “The present work aims to evaluate the photocatalytic activity of an alternative supported nanocatalys t with copper oxide nanoparticles were the photoactive phase and the analcime na nozeolite as the catalytic support (CuO-NPs@nANA), and to carry out a Machine Le arning (ML) study to propose a reaction pathway for the MB dye degradation under visible light. Two machine learning algorithms (RF and XGB) were used in the re gression model development from scientific papers concerning MB degradation (by GC -MS) to identify the degradation products of the reaction.”

    Researchers from Swiss Federal Institute of Technology Lausanne Report Findings in Robotics (Action Contextualization: Adaptive Task Planning and Action Tuning Using Large Language Models)

    114-114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 Robotics are presented i n a new report. According to news reporting out of Lausanne, Switzerland, by New sRx editors, research stated, “Large Language Models (LLMs) present a promising frontier in robotic task planning by leveraging extensive human knowledge. Never theless, the current literature often overlooks the critical aspects of robots’ adaptability and error correction.” Funders for this research include European Research Council (ERC), Horizon Europ e.

    New Machine Learning Data Have Been Reported by Investigators at University of G hent (Semantic Enrichment of a Bim Model Using Revit: Automatic Annotation of Do ors In High-rise Residential Building Models Using Machine Learning)

    115-115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 Ghent, Belgium, by NewsRx correspo ndents, research stated, “This study explores the potential of automated fire sa fety conformity checks using a BIM tool. The focus is on travel distance regulat ions, one of the major concerns in building design.” Financial supporters for this research include Flanders innovation & entrepreneurship (VLAIO), Jensen Hughes Company.

    Data on Science Reported by Sivasankaran Pichandi and Colleagues (Hybrid deep mo dels for parallel feature extraction and enhanced emotion state classification)

    116-116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 Science is the subject of a report. According to news originating from Tiruchengode, India, by NewsRx correspondents, research stated, “Emotions play a vital role in recognizing a pe rson’s thoughts and vary significantly with stress levels. Emotion and stress cl assification have gained considerable attention in robotics and artificial intel ligence applications.”