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Robotics & Machine Learning Daily News

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    Researcher from Changchun University Details New Studies and Findings in the Are a of Support Vector Machines (Model construction and empirical study of urban ch aracteristic planning evaluation index system)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on have been publish ed. According to news reporting originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “With the accelerated urbaniz ation, the importance of urban characteristic planning has become increasingly p rominent.”

    Northwestern Polytechnical University Researcher Has Provided New Study Findings on Machine Learning (Using Machine Learning Tools for Rotating Stall Warning in a Contra-Rotating Compressor)

    29-30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 artificial intelligence. According to news originating from Northwestern Polytec hnical University by NewsRx correspondents, research stated, “This paper takes a low-speed axial contra-rotating compressor as the experimental object, and the sensor array is used to collect the pressure sequences in stall conditions for different speed configurations.”

    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.”

    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.”

    University Hospital Reports Findings in Artificial Intelligence (Artificial inte lligence for dysplasia detection during surveillance colonoscopy in patients wit h ulcerative colitis: A cross-sectional, non-inferiority, diagnostic test compar ison ...)

    38-39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 Artificial Intelligenc e is the subject of a report. According to news reporting from Valencia, Spain, by NewsRx journalists, research stated, “High-definition virtual chromoendoscopy , along with targeted biopsies, is recommended for dysplasia surveillance in ulc erative colitis patients at risk for colorectal cancer. Computer-aided detection (CADe) systems aim to improve colonic adenoma detection, however their efficacy in detecting polyps and adenomas in this context remains unclear.”

    Findings from China University of Geosciences Update Understanding of Machine Learning (Employing Machine Learning To Predict the Occurrence and Spatial Variability of High Fluoride Groundwater In Intensively Irrigated Areas)

    41-42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 Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Groundwater serv es as a vital source of drinking water in the Hetao Basin of northwestern China. However, the occurrence and intense spatial variability of high fluoride (F -> 1.5 mg/L) groundwater poses a significant health threat to local residents.”

    Reports on Machine Learning from Deakin University Provide New Insights (Effective Interpretable Learning for Large-scale Categorical Data)

    42-43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 originating from Melbourne, Australia, by News Rx correspondents, research stated, “Large scale categorical datasets are ubiqui tous in machine learning and the success of most deployed machine learning model s rely on how effectively the features are engineered. For large-scale datasets, parametric methods are generally used, among which three strategies for feature engineering are quite common.”