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    Studies from Texas A&M University in the Area of Artificial Intelli gence Described (No Silver Bullet: Artificial Intelligence Is Not a Panacea, but It Works for Fault Analysis and Outage Management)

    75-76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 reportingfrom College Station, Texas, by N ewsRx journalists, research stated, “To facilitate repair of the systemafter fa ults occur or implement appropriate control action to restore the power system’s normal operation,the occurrence of faults is tracked through a variety of reco rding equipment, such as digital fault recorders(DFRs), protective relays, circ uit breaker monitors, sequence-of-events recorders, fault locators, smartmeters , power quality meters, and many other specialized devices; these are often loca ted in substationsor mounted on related power apparatus being monitored. A weal th of data is collected in real time, andadditional descriptions of causes and impacts are recorded by maintenance crews as they inspect the siteswhere faults occurred.”

    New Machine Learning Data Have Been Reported by Researchers at University of Vie nna (Merging holography, fluorescence, and machine learning for in situ continuo us characterization and classification of airborne microplastics)

    76-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Vienna, Austria, by NewsRx journalists, research stated, “The continued increase in globalplastic production and poor waste management ensures that plastic pollution will be a se rious environmentalconcern for years to come. Because of their size, shape, and relatively low density, plastic particlesbetween 1 and 1000 m in size (known a s microplastics or MPs) emitted directly into the environment (‘primary’)or cre ated due to degradation (‘secondary’) may be transported through the atmosphere, similarlyto other coarse-mode particles such as mineral dust.”

    University of West Attica Reports Findings in Artificial Intelligence (Predictiv e Performance of Artificial intelligence Models on Heart and Lung Posttransplant Health Outcomes: A Systematic Review)

    77-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating from Athen s, Greece, by NewsRx correspondents, research stated, “The efficacy andcapacity of artificial intelligence models to predict posttransplant health complication s have been disputedover the past few years. In this systematic review, we asse ssed the performance of different artificialintelligence models in predicting h ealth outcomes after heart and lung transplantations.”

    Reports from Guilin University of Technology Highlight Recent Research in Roboti cs (Design and Performance Analysis of a Parallel Pipeline Robot)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on robotics have bee n published. According to news reportingoriginating from Guilin, People’s Repub lic of China, by NewsRx correspondents, research stated, “Aparallel four-legged pipeline robot is designed to mitigate the issue of uneven motor loading on the singleleglinkage responsible for movement along the pipe diameter.”

    New Machine Learning Findings from Zhengzhou Normal University Outlined (Blockch ain-enabled Federated Learning With Differential Privacy for Internet of Vehicle s)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “The rap id evolution of artificial intelligence (AI) technologies has significantly prop elled the advancementof the Internet of Vehicles (IoV). With AI support, repres ented by machine learning technology,vehicles gain the capability to make intel ligent decisions.”

    Reports from National University Colombia Highlight Recent Research in Machine L earning (Power generation mix in Colombia including wind power: Markowitz portfo lio efficient frontier analysis with machine learning)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. According tonews originating from Medelli n, Colombia, by NewsRx correspondents, research stated, “The Colombianpower mar ket is hydro-dominated since 67 % of the power produced comes from hydro-power sources. Inaddition, it has thermal power from natural gas and coa l, and in the last years, alternative energy sourcessuch as wind and solar have been introduced, although so far their share is not significant.”

    Data on Machine Learning Described by Researchers at Guangzhou University (Value of Deformation Index of Composite Shear Walls With Parallel Circular Concrete-f illed Steel Tubular Columns Combined With Machine Learning)

    81-82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 Machine Learning is now available. According to news reportingoriginating from Guangzhou, People’s Rep ublic of China, by NewsRx correspondents, research stated,“A steel-plate-provid ed concrete shear wall with parallel circular concrete-filled steel tube columns (PCFSTSCSW)was investigated for engineering applications and deformation perf ormance, and this studycombines the characteristics of a P-CFST-SCSW to propose material strain limit values for various performancestates of this shear wall. Firstly, 378 finite element models are designed using accurate finiteelement m odels, which include the ratio of axial compression and the ratio of shear-to-sp an, steel tubedistance, and steel tube thickness.”

    Reports from South Ural State University (National Research University) Add New Data to Research in Robotics (Enhancing Welding Productivity and Mitigation of D istortion in Dissimilar Welding of Ferritic-Martensitic Steel and Austenitic … )

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine LearningDaily News Daily News – Researchers detail new data in robotic s. According to news originating fromChelyabinsk, Russia, by NewsRx corresponde nts, research stated, “The P91 martensitic steel and 304Laustenitic stainless s teels are two mainly used structural steels in power plants.”

    University of Lleida Researcher Describes Findings in Artificial Intelligence (T owards Designing a Set of Usability and Accessibility Heuristics Focused on Cogn itive Diversity: An Exploratory Case Study with Generative Artificial Intelligen ce)

    83-84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 Catalunya, Spain, by N ewsRx editors, the research stated, “This paper discusses the design andevaluat ion of a set of heuristics (U + A) to assess the usability and accessibility of interactive systems interms of cognitive diversity in an integrated way.”

    Polytechnic University Milan Reports Findings in Machine Learning (Predicting vu lnerable coronary arteries: A combined radiomicsbiomechanics approach)

    84-85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 from Milan, Italy, by NewsRx journalists, research stated, “Nowadays, vulnerable coronary plaquedetection fr om coronary computed tomography angiography (CCTA) is suboptimal, although being crucialfor preventing major adverse cardiac events. Moreover, despite the sugg estion of various vulnerabilitybiomarkers, encompassing image and biomechanical factors, accurate patient stratification remains elusive,and a comprehensive a pproach integrating multiple markers is lacking.”