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    Data on Machine Learning Reported by a Researcher at Central South University (S eismic Response Prediction of Porcelain Transformer Bushing Using Hybrid Metaheu ristic and Machine Learning Techniques: A Comparative Study)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Changsha, People’s Rep ublic of China, by NewsRx editors, the research stated, “Although seismicrespon se predictions are widely used for engineering structures, their applications in electrical equipmentare rare.”

    Recent Findings in Machine Learning Described by Researchers from Swinburne Univ ersity of Technology (Application of Machine Learning for Composite Moulding Pro cess Modelling)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting from Hawthorn, Austra lia, by NewsRx journalists, research stated, “Fibre -reinforced compositesare c ommonly manufactured through moulding processes such as Resin Transfer Moulding (RTM) due totheir great reliability and scalability. State-of-the-art RTM proce ss modelling and simulation primarily relyon computationally expensive physics -based modelling methods.”

    School of Civil and Environmental Engineering Reports Findings in Machine Learni ng (Machine learning for high-precision simulation of dissolved organic matter I n sewer: Overcoming data restrictions with generative adversarial networks)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Shenzhen, People’s Repub lic of China, by NewsRx journalists, research stated, “Understandingthe transfo rmation process of dissolved organic matter (DOM) in the sewer is imperative forcomprehending material circulation and energy flow within the sewer. The machin e learning (ML) modelprovides a feasible way to comprehend and simulate the DOM transformation process in the sewer.”

    National Centre for Atmospheric Science (NCAS) Researchers Release New Study Fin dings on Machine Learning (A Machine Learning-Based Approach to Quantify ENSO So urces of Predictability)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingoriginating from the National Cen tre for Atmospheric Science (NCAS) by NewsRx correspondents, researchstated, “A machine learning method is used to identify sources of long-term ENSO predictab ility in the ocean (sea surface temperature (SST) and heat content) and the atmo sphere (near-surface zonal wind(U10)).”

    Research from School of Civil Engineering and Architecture Yields New Data on Su pport Vector Machines (Promoting low carbon construction using alkali-activated materials: A modeling study for strength prediction and feature interaction)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on su pport vector machines. According to newsreporting from the School of Civil Engi neering and Architecture by NewsRx journalists, research stated, “Inplace of Po rtland cement concrete, alkali-activated materials (AAMs) are becoming more popu lar becauseof their widespread use and low environmental effects. Unfortunately , reliable property predictions havebeen impeded by the restrictions of convent ional materials science methods and the large compositionalvariability of AAMs. ”

    Recent Research from Chinese Academy of Sciences Highlight Findings in Robotics (A Comprehensive On-load Calibration Method for Industrial Robots Based On a Uni fied Kinetostatic Error Model and Gaussian Process Regression)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingfrom Ningbo, People’s Republic o f China, by NewsRx correspondents, research stated, “Industrial robotsare widel y used in various manufacturing processes due to their flexibility and versatili ty. However, therobot’s absolute accuracy is significantly impacted by inaccura te kinematic parameters, joint compliance,and other nonlinear factors.”

    New Findings from Indian Institute of Remote Sensing in the Area of Machine Lear ning Described (Machine learning based urban land cover classification using Pol InSAR data: a study with ALOS-2 and RADARSAT-2 datasets)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingout of the Indian Institute of Remote Sensing by NewsRx editors, research stated, “A substantial variationin the land cover dynamics has been observed as a consequence of increasing urba n expansion. Polarimetricsynthetic aperture radar (PolSAR) data is widely being used for land cover studies in urban areas due toits all-weather, day-and-nigh t imaging capabilities.”

    Recent Findings in Machine Learning Described by Researchers from Henan Universi ty (A Data- and Knowledge-driven Method for Fusing Satellite-derived and Ground- based Precipitation Observations)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Kaifeng, People’s Republic of C hina, by NewsRx journalists, research stated, “Accurate representationof the sp atiotemporal distribution of precipitation is critical to climate and hydrology fields. Data-drivenmethods based on machine learning have exhibited the potenti al to fuse satellite-derived precipitation data(SPD) and ground-based precipita tion observations (GPOs).”

    University of Montreal Reports Findings in Machine Learning (A Practical Roadmap to Implementing Deep Learning Segmentation in the Clinical Neuroimaging Researc h Workflow)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Montreal, Cana da, by NewsRx journalists, research stated, “Thanks to the proliferationof open -source tools, we are seeing an exponential growth of machine-learning applicati ons,and its integration has become more accessible, particularly for segmentati on tools in neuroimaging. Thisarticle explores a generalized methodology that h arnesses these tools and aims/enables to expedite andenhance the reproducibilit y of clinical research.”

    New Machine Learning Study Findings Have Been Reported from Deakin University (O ptimal Location and Pricing of Electric Vehicle Charging Stations Using Machine Learning and Stackelberg Game)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reporting outof Geelong, Australia, by News Rx editors, research stated, “The widespread adoption of electric vehicles(EVs) requires strategically located and well-priced charging stations (CSs) to facil itate the charging anddischarging of EVs. To implement this necessity, a two-st age framework is proposed that involves demandforecasting and an optimization m odel to optimize the location and pricing of CSs.”