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    Investigators at Petroleum-Gas University of Ploiesti Report Findings in Machine Learning (Proposal of a Machine Learning Predictive Maintenance Solution Archit ecture)

    29-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Ploiesti, Ro mania, by NewsRx journalists, research stated, “This article proposes an archite cture model for a predictive maintenance solution that can be used to detect deg radation of equipment in industrial units. This platform is compliant with Indus try 4.0 standards and employs machine learning algorithms alongside with data an alytics methodologies to model the kinetics of equipment degradation.”

    Data from Dalian Minzu University Advance Knowledge in Intelligent Systems (Segm entation of Ethnic Clothing Patterns With Fusion of Multiple Attention Mechanisms)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting origi nating in Dalian, People’s Republic of China, by NewsRx journalists, research st ated, “To address the challenges posed by diverse pattern-background elements, i ntricate details, and complex textures in the semantic segmentation of ethnic cl othing patterns, this research introduces a novel semantic segmentation network model called MST-Unet (Mixed Swin Transformer Unet). The proposed model combine s a U-shaped network structure with multiple attention mechanisms.”

    Researcher from Academy of Mathematics and Systems Science Publishes New Studies and Findings in the Area of Machine Learning (Stock Trend Prediction with Machi ne Learning: Incorporating Inter-Stock Correlation Information through Laplacian ...)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “Predicting stock trends in fi nancial markets is of significant importance to investors and portfolio managers . In addition to a stock’s historical price information, the correlation between that stock and others can also provide valuable information for forecasting future returns.”

    Reports from Shanghai Ocean University Add New Data to Findings in Robotics (Res earch On Mobile Robot Indoor Positioning Mapping Based On Front-end and Back-end Optimization)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on Robotics. Acc ording to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “When the traditional RBPF-SLAM algorithm is applied to indoor positioning and mapping of mobile robots, it is prone to in accurate positioning and mapping due to the long computation time of the front-e nd matching algorithm and the presence of particle missing in the back-end optim ization algorithm. We popose to optimize the matching efficiency of lidar using the PL-ICP algorithm in the front-end of the SLAM system.”

    Study Findings from American Board of Family Medicine Provide New Insights into Machine Learning (Machine Learning To Identify Clusters In Family Medicine Diplo mate Motivations and Their Relationship To Continuing Certification Exam Outcome s: ...)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting out of Lexington, Kentucky, by New sRx editors, research stated, “The potential for machine learning (ML) to enhanc e the efficiency of medical specialty boards has not been explored. We applied u nsupervised ML to identify archetypes among American Board of Family Medicine (A BFM) Diplomates regarding their practice characteristics and motivations for par ticipating in continuing certification, then examined associations between motiv ation patterns and key recertification outcomes.”

    Universita Campus Bio-Medico di Roma Researchers Provide New Data on Machine Lea rning (Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news originating from Rome, Italy, by NewsRx editors, t he research stated, “Mapping hazelnut orchards can facilitate land planning and utilization policies, supporting the development of cooperative precision farmin g systems.”

    New Machine Learning Study Findings Have Been Reported by Researchers at Brunel University London (Normalizing Flow Based Uncertainty Estimation for Deep Regres sion Analysis)

    35-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Uxbridge, United King dom, by NewsRx journalists, research stated, “Uncertainty estimation is a critic al component of building safe and reliable machine learning models. Accurate est imation of uncertainties is essential for identifying and mitigating potential risks and ensuring that machine learning systems operate reliably in real-world s cenarios.”

    Findings from Zhejiang Science Technical University Provides New Data about Robo tics (Robotica: Decoupled Elastostatic Stiffness Modeling of Hybrid Robots)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting originating in Hangzhou, People’s Rep ublic of China, by NewsRx journalists, research stated, “A decoupling method is proposed for the elastic stiffness modeling of hybrid robots based on the rigidi ty principle, screw theory, strain energy, and Castigliano’s second theorem. It enables the decoupling of parallel and serial modules, as well as the individual contributions of each elastic component to the mechanism’s stiffness performanc e.”

    New Artificial Intelligence Research from Charles University Outlined (AI-genera ted faces show lower morphological diversity than real faces do)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news originating from Charles University by NewsRx editors, the research stated, “Some recent studies suggest that artificial intelligence can create realistic human faces subjectively unre cognizable from faces of real people.”

    Researchers from Kunming University of Science and Technology Publish Research i n Robotics (Fusion of fruit image processing and deep learning: a study on ident ification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on robotics have been published . According to news reporting originating from Kunming, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Citrus fruits are extensively cu ltivated fruits with high nutritional value. The identification of distinct ripe ness stages in citrus fruits plays a crucial role in guiding the planning of har vesting paths for citrus-picking robots and facilitating yield estimations in or chards.”