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    Investigators from Chongqing University of Science and Technology Have Reported New Data on Machine Learning (Insight To the Prediction of Co2 Solubility In Ion ic Liquids Based On the Interpretable Machine Learning Model)

    105-106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 originatingfrom Chongqing, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “In this work,we investigated t hree different machine learning (ML)-based models, i.e., gaussian process regres sion(GPR), LightGBM, and CatBoost, for predicting the solubility of CO2 in vari ous ionic liquids (ILs). Threemolecular descriptors, i.e., group contribution ( GC), molecular structure descriptors (MSD), and hybridGC-MSD are used in our th ree models.”

    Amsterdam University Medical Center Reports Findings in Artificial Intelligence (ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facil itate Artificial Intelligence applications from acquisition to analysis in Magne tic …)

    106-107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 out of Amsterdam, Neth erlands, by NewsRx editors, research stated, “Artificial intelligence(AI) is re volutionizing Magnetic Resonance Imaging (MRI) along the acquisition and process ing chain.Advanced AI frameworks have been applied in various successive tasks, such as image reconstruction,quantitative parameter map estimation, and image segmentation.”

    Report Summarizes Machine Learning Study Findings from National Central Universi ty (Comparative Analysis of Machine Learning Models for Tropical Cyclone Intensi ty Estimation)

    107-108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 reportingfrom National Central Unive rsity by NewsRx journalists, research stated, “Estimating tropical cyclone(TC) intensity is crucial for disaster reduction and risk management.”Funders for this research include National Science And Technology Council of Tai wan.

    Studies Conducted at China University of Geosciences on Machine Learning Recentl y Reported (A Novel Framework for Landslide Displacement Prediction Using Mt-ins ar and Machine Learning Techniques)

    108-109页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Data detailed on Machine Learning have been presented. According to news reportingoriginating from Wuhan, People’s Re public of China, by NewsRx correspondents, research stated, “Theprediction of l andslide deformation is an important part of landslide early warning systems. Di splacementprediction based on geotechnical in-situ monitoring performs well, bu t its high costs and spatial limitationshinder frequent use within large areas. ”

    Studies from University of New South Wales Sydney Provide New Data on Robotics (Soft Fibrous Syringe Architecture for Electricityfree and Motorless Control of Flexible Robotic Systems)

    109-110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 fromSydney, Australia, by NewsRx journalist s, research stated, “Flexible robotic systems (FRSs) and wearableuser interface s (WUIs) have been widely used in medical fields, offering lower infection risk and shorterrecovery, and supporting amiable human-machine interactions (HMIs). Recently, soft electric, thermal,magnetic, and fluidic actuators with enhanced safety and compliance have innovatively boosted the use ofFRSs and WUIs across many sectors.”

    University Hospital Padua Reports Findings in Artificial Intelligence (The state of artificial intelligence in medical research: A survey of corresponding autho rs from top medical journals)

    110-111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 out of Padua, Italy, b y NewsRx editors, research stated, “Natural Language Processing (NLP)is a subse t of artificial intelligence that enables machines to understand and respond to human languagethrough Large Language Models (LLMs).. These models have diverse applications in fields such as medicalresearch, scientific writing, and publish ing, but concerns such as hallucination, ethical issues, bias, andcybersecurity need to be addressed.”

    Research from University of California Yields New Data on Machine Learning (Mach ine learning-based predictive control of an electrically-heated steam methane re forming process)

    111-112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 artificial in telligence have been published. According tonews reporting from the University of California by NewsRx journalists, research stated, “Hydrogen playsa crucial role in improving sustainability and offering a clean and efficient energy carri er that significantlyreduces greenhouse gas emissions. However, the primary met hod of industrial hydrogen production, steammethane reforming (SMR), relies on the combustion of hydrocarbons as the heating source for the reformingreactions , resulting in significant carbon emissions.”

    Boston University Researchers Discuss Findings in Robotics (An electropermanent magnet valve for the onboard control of multidegree of freedom pneumatic soft robots)

    112-113页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Data detailed on robotics have been pr esented. According to news reporting outof Boston University by NewsRx editors, research stated, “To achieve coordinated functions, fluidic softrobots typical ly rely on multiple input lines for the independent inflation and deflation of e ach actuator.”Funders for this research include United States Department of Defense | United S tates Navy | Officeof Naval Research.

    Researchers from University of Lisbon Describe Findings in Machine Learning (Con junct Applicability of Mcdm-based Machine Learning Algorithms In Mapping the Sed iment Formation Potential)

    113-114页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; A new study on Machine Learning is now available. According to news reporting originatingin Lisbon, Portugal, by NewsRx journali sts, research stated, “This study evaluates the applicability ofmulticriteria d ecision-making (MCDM) methods, including SAW, VIKOR, TOPSIS, and Condorcet algorithm based on game theory and machine learning algorithms (MLAs) including K-nea rest neighbor, Na& iuml;ve Bayes, Random Forest (RF), simple line ar regression and support vector machine in spatialmapping of sediment formatio n potential in Talar watershed, Iran. In the first approach, MCDM wasused, incl uding SAW, VIKOR, TOPSIS, and Condorcet’s algorithm based on game theory.”

    Reports from Fuzhou University Describe Recent Advances in Machine Learning (Enh ancing Arc Fault Diagnosis Method Using Feature Selection Strategy Based On Feat ure Clustering and Maximal Information Coefficient)

    114-115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 originatingfrom Fuzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “The accuracyof machine learning-based arc fault diagnosis methods relies on the quality of the selected features. First,an experimental system is constructed for collecting realistic arc fault current signals, and different multidomainfeature extraction method s are described.”