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    Study Findings on Artificial Intelligence Detailed by a Researcher at University of Technology (Towards the Development of a Copyright Risk Checker Tool for Gen erative Artificial Intelligence Systems)

    74-75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 Sydney, Australia, by NewsRx journalists, research stated, “Generative Artificial Intelligence(GAI ) is fundamentally changing the ways of working and blurring the boundaries betw een human andmachine-generated contents.”

    Researchers from McMaster University Report New Studies and Findings in the Area of Machine Learning [Optimizing Methane Uptake On N/o Functi onalized Graphene Via Dft, Machine Learning, and Uniform Manifold Approximation and Projection (Umap) …]

    75-76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 tonews reporting originating from Hami lton, Canada, by NewsRx correspondents, research stated, “Carbonmaterials posse ss active sites and functionalities on the surface that can attract prominent in terest assolid adsorbents for diverse gas adsorption. This study aimed to predi ct the optimized methane uptake,adsorption energy (E ad), and adsorbent redisco very through multitechniques of neural, regression, classifierML-DFT, and Unifo rm Manifold Approximation and Projection (UMAP).”

    Findings on Machine Learning Discussed by Investigators at University Ibn Tofail (Advanced Machine Learning for Predicting Groundwater Decline and Drought In th e Rabat-sale-kenitra Region, Morocco)

    76-77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 reportingout of Kenitra, Morocco, by NewsRx e ditors, research stated, “The Rabat-Sal & eacute;-K & eacute;nitraregion of Morocco faces critical groundwater challenges due to incr easing demands from population growth,agricultural expansion, and the impacts o f prolonged droughts and climate change. This study employsadvanced machine lea rning models, including artificial neural networks (ANN), gradient boosting (GB), support vector regression (SVR), decision tree (DT), and random forest (RF), t o predict groundwaterstorage variations.”

    First Affiliated Hospital of Jinan University Reports Findings in Fatty Liver Di sease (A machine learning-based predictive model discriminates nonalcoholic stea tohepatitis from nonalcoholic fatty liver disease)

    77-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Liver Diseases and Con ditions - Fatty Liver Disease is the subjectof a report. According to news repo rting originating from Guangzhou, People’s Republic of China, byNewsRx correspo ndents, research stated, “Non-alcoholic fatty liver disease (NAFLD) is a leading cause ofliver-related morbidity and mortality. The diagnosis of non-alcoholic steatohepatitis (NASH) plays a crucialrole in the management of NAFLD patients. ”

    Xuzhou University of Technology Researcher Illuminates Research in Machine Learn ing (Alkali Ion-Accelerated Gelation of MXene- Based Conductive Hydrogel for Flex ible Sensing and Machine Learning-Assisted Recognition)

    78-78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 new report. According tonews reporting originating from X uzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “C onductive hydrogels are promising active materials for wearable flexible electro nics, yet it is stillchallenging to fabricate conductive hydrogels with good en vironmental stability and electrical properties.”

    Data on Machine Learning Described by Researchers at Indian Institute of Informa tion Technology Allahabad (Improved Crop Height Estimation of Green Gram and Whe at Using Sentinel-1 Sar Time Series and Machine Learning Algorithms)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating from Prayagraj, India, by N ewsRx correspondents, research stated, “Crop height is an importantagronomic in dicator that plays a crucial role in assessing production levels, providing esse ntial informationabout the crop health. This study demonstrates the application of machine learning models for estimatingcrop height of green gram and wheat u sing dual-polarimetric Sentinel-1 Synthetic Aperture Radar (SAR)datasets.”

    Researchers at Hanyang University Zero in on Machine Learning (Enhancing Machine Learning Models Through PCA, SMOTEENN, and Stochastic Weighted Averaging)

    80-80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 artific ial intelligence. According to news originatingfrom Seoul, South Korea, by News Rx correspondents, research stated, “Predicting survival outcomes incritical ac cidents has been a focal point in machine learning research. This study addresse s severallimitations of existing methods, including insufficient management of data imbalance, lack of emphasis onhyperparameter tuning, and proneness to over fitting.”

    New Machine Learning Study Findings Reported from Naval University of Engineerin g (Research on Reactivity-Equivalent Physical Transformation Method for Double H eterogeneity in Pressurized Water Reactors Based on Machine Learning)

    81-81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. Accordingto news reporting from Wuhan, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Traditional c omputational methods for pressurized water reactors are unable to handle dispers ed fuelparticles as the double heterogeneity and the direct volumetric homogeni zation can result in significanterrors.”

    Study Findings from University of Huddersfield Update Knowledge in Machine Learn ing (Performance of vibration and current signals in the fault diagnosis of indu ction motors using deep learning and machine learning techniques)

    82-82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 reportingoriginating from Huddersfield , United Kingdom, by NewsRx correspondents, research stated, “Inductionmotors ( IMs) play a pivotal role in various industrial applications, powering critical s ystems such as pumps,compressors, fans, blowers, and refrigeration and air cond itioning systems.”

    Patent Application Titled 'Computer-Implemented Automatic Annotation Of A Lidar Point Cloud' Published Online (USPTO 20240371186)

    83-85页
    查看更多>>摘要:No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors:“Light detection and ranging (LiDAR) uses laser light to measu re distances by targeting an object or asurface with a laser and measuring the time for the reflected light to return to a receiver. LiDAR scanningcan be perf ormed to generate extremely accurate, detailed three-dimensional (3D) measuremen ts ofan environment including various features, such as the ground, vegetation, buildings, and other objects.LiDAR scanning produces a 3D point cloud of the s canned environment. The speed and accuracy ofLiDAR made it feasible to map larg e areas with the kind of detail that before had only been possible withtime-con suming and expensive ground survey crews.