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    Reports Outline Artificial Intelligence Findings from University of Exeter (Inte rpretability and Spatial Efficacy of a Deep-learningbased On-site Early Warning Framework Using Explainable Artificial Intelligence and Geographically Weighted ...)

    128-128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 reportingout of Exeter, United Kingdom, by NewsRx editors, research stated, “Earthquakes pose significant risksglobally, necessitating effective seismic risk mitigation strategies like earthquake early warning (EEW)systems. However, developing and optimizing such systems requires thoroughly understanding their internalprocedures and coverage limitations.”

    Findings from Dire Dawa University Provide New Insights into Machine Learning [Spatiotemporal pattern of water hyacinth (Pontederia crassipes) distribution in Lake Tana, Ethiopia, using a random forest machine learning model]

    129-129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 Dire Dawa University b y NewsRx correspondents, research stated, “Water hyacinth (Pontederiacrassipes) is an invasive weed that covers a significant portion of Lake Tana. The infesta tion has animpact on the lake’s ecological and socioeconomic systems.”

    Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital Reports Findings in Prostate Cancer (Multispectral Fluorescence Imaging as a Tool to Distinguish Pe lvic Lymphatic Drainage Patterns During Robot-assisted Lymph Node Dissection in ...)

    130-131页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Prostate Ca ncer is the subject of a report. Accordingto news reporting originating from Am sterdam, Netherlands, by NewsRx correspondents, research stated,“The invasive n ature of extended pelvic lymph node dissection (ePLND) prompts the need for alte rnativelymphatic mapping technologies. To change the focus to ‘sparing nodes th at are not involved,’ the firststep is to research the feasibility of intraoper atively distinguishing the lymph drainage patterns of theprostate from healthy organs.”

    Findings on Machine Learning Detailed by Investigators at Norwegian University o f Science and Technology (NTNU) (Machine Learning-based Literature Review On the Concept of Safety Barriers Against Hazardous Events)

    131-132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 Trondheim, Norway, by NewsRx jo urnalists, research stated, “The identification and implementationof effective safety barriers represent the core aim of any safety management process. Safety barriers,whether physical and/or non-physical, serve to prevent or mitigate haz ardous events.”

    Research from Ministry of Natural Resources (MNR) in the Area of Marine Engineer ing Described (Comparative evaluation of machine learning models for assessment of seabed liquefaction using finite element data)

    132-132页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on marine engineerin g are discussed in a new report. According tonews originating from Qingdao, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“Predicting wave-induced liquefaction around submarine pipelines is crucial for marine engin eering safety.”

    Findings from Imperial College London Has Provided New Data on Machine Learning (Machine Learning-enhanced Benders Decomposition Approach for the Multi-stage St ochastic Transmission Expansion Planning Problem)

    133-133页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news reporting fromLondon, United Kingdom, by NewsRx jo urnalists, research stated, “The necessary decarbonization effortsin energy sec tors entail integrating flexible assets and increased levels of uncertainty for the planningand operation of power systems. To cope with this in a cost-effecti ve manner, transmission expansionplanning (TEP) models need to incorporate prog ressively more details to represent potential long-termsystem developments and the operation of power grids with intermittent renewable generation.”

    Recent Studies from St. Louis University Add New Data to Machine Learning (Inter pretable Machine Learning Tools To Analyze Pm2.5 Sensor Network Data so As To Qu antify Local Source Impacts and Long-range Transport)

    134-135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 from St. Louis, M issouri, by NewsRx correspondents, research stated, “Sensornetworks provide spa tially resolved information about the time variation of PM2.5 concentrations inurban areas around the world. With relatively simple improvements to the control of the temperature andhumidity of incoming air, and with proper quality assura nce and calibration protocols, a low cost monitorwas developed that provides me asurements that were highly correlated with a reference PM2.5 monitor.”Financial support for this research came from United States Department of State.

    Data on Artificial Intelligence Reported by Yigal Attali and Colleagues (A gener ative AI-driven interactive listening assessment task)

    135-135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 - Art ificial Intelligence is the subject of a report.According to news reporting fro m Pittsburgh, Pennsylvania, by NewsRx journalists, research stated, “Assessmentsof interactional competence have traditionally been limited in large-scale lang uage assessments.The listening portion suffers from construct underrepresentati on, whereas the speaking portion suffersfrom limited task formats such as in-pe rson interviews or role plays.”

    University of Surrey Researchers Have Published New Study Findings on Machine Le arning (Machine learning powered predictive modelling of complex residual stress for nuclear fusion reactor design)

    136-136页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators discuss new findings in artificial intelligence. According to news originating fromSurrey, United Kingdom, by News Rx editors, the research stated, “Fusion In-vessel components, assembledand mai ntained using laser welding, one of the most promising techniques, exhibit compl ex distributions ofresidual stress, microstructures, and material properties. T hese residual stresses can compromise structuralintegrity and lifespan of criti cal components.”

    National University of Singapore Reports Findings in Lupus (Combining multimodal magnetic resonance brain imaging and machine learning to unravel neurocognitive function in non-neuropsychiatric systemic lupus erythematosus)

    137-138页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Autoimmune Diseases an d Conditions - Lupus is the subject of areport. According to news reporting ori ginating from Singapore, Singapore, by NewsRx correspondents,research stated, “ To study whether multimodal brain MRI comprising permeability and perfusion measures coupled with machine learning can predict neurocognitive function in young patients with SLE withoutneuropsychiatric manifestations. SLE patients and heal thy controls (HCs) ( 40 years of age) underwent multimodal structural brain MRI that comprised voxel-based morphometry (VBM), magnetization transferratio (MTR) and dynamic contrast-enhanced (DCE) MRI in this cross-sectional study.”