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    Researchers at Department of Computer Sciences and Engineering Target Machine Learning (Unscented Kalman Filters Integrated With Deep Learning Approaches for Active Sonar Based 2d Underwater Target Tracking)

    59-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Visakhapatnam, India, by NewsRx journalists, research stated, “This manuscript proposes a new approach to track 2D targets using a combination of machine learning algorithms and the Unscented Kalman filter (UKF). The approach makes use of active sonar sensors to measure range and bearing, which are used to predict the target’s course and speed.”

    New Data from Southwest Petroleum University Illuminate Research in Support Vect or Machines (Calibration modeling of drilling fluid rheological parameters in va riable temperature environment based on support vector machine)

    60-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on is now available. Accor ding to news reporting from Southwest Petroleum University by NewsRx journalists , research stated, “Traditional measurement of drilling fluid rheological parameters suffers from significant lag due to the inability of the instruments to pro mptly capture real-time parameters of the drilling fluid.”

    New Robotics Data Have Been Reported by Investigators at Changchun University of Science and Technology (Application of Deep Learning-based Image Registration Techniques In Autonomous Robot Navigation)

    61-61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 Robotics have been published. According to news reporting out of Changchun, People’s Republic of China, by NewsRx editors, research stated, “Autonomous robot navigation is widely applied across various domains, with one of the core challenges being accu rate image registration under varying time frames, perspectives, and complex environmental changes. Existing image registration methods address some of these challenges but still face significant limitations, such as insufficient model gene ralization and low computational efficiency when dealing with highly dynamic and irregular environmental changes.”

    Ghent University Hospital Reports Findings in Cystoscopy (Robotassisted T-plasty for recalcitrant bladder neck stenosis: description of technique and initial results)

    62-63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 Surgical Procedures - Cystoscopy is the subject of a report. According to news reporting out of Ghent, Belgium, by NewsRx editors, research stated, “The aim of this study was to describe the technique and initial outcomes of robot-assisted T-plasty for recalcitr ant bladder neck stenosis. Patients who underwent robot-assisted T-plasty for recalcitrant bladder neck stenosis in a single center were included.”

    Budapest University of Technology and Economics Researchers Focus on Artificial Intelligence (The future of medicine or a threat? Artificial intelligence repres entation in Chicago Med)

    62-62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 artificial in telligence have been published. According to news reporting from Budapest University of Technology and Economics by NewsRx journalists, research stated, “The eighth season of the American medical drama series Chicago Med (2015-) represented the application of artificial intelligence (AI) in a hospital environment with multiple storylines. Born in the 1950s, medical dramas are among the most popular forms of serial television.”

    Data on Machine Learning Described by Researchers at School of Mechanical Engineering (Optimizing Wire Electrical Discharge Machining Parameters for Enhanced Gear Machining Performance: a Machine Learning Approach On 20mncr5 Steel)

    63-64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 Machine Learning is the subject of a report. According to news reporting originating in Tamil Nadu, India, by NewsRx journalists, research stated, “Gears are machine elements that re quire high precision and surface quality to attain elevated performance of machinery. Many traditional techniques are capable of manufacturing gears but still need to overcome many drawbacks that require post-processing treatments to overco me.”

    Researchers from Sichuan University Describe Findings in Machine Learning (Predi ction of Outflow Temperature of Reservoir Based On Theory-guided Machine Learning Models and Optimization of Operation for Improving Outflow Temperature)

    65-66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 Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “The proportion of hydropower within the energy-resource structure is gradually increasing. However, the cons truction of reservoirs inevitably leads to ecological and environmental issues, especially the release of lowtemperature water in summer and its detrimental effects on fish spawning and reproduction.”

    New Photocatalytics Findings from Xiangtan University Outlined (Accelerating the Design and Screening of Surface-functionalized Monolayer Sic for Photocatalytic Water Splitting and Ultraviolet Applications Via Machine Learning)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Nanotechnology - Photocatalytics have been presented. According to news reporting out of Hunan, People’s Republic of China, by NewsRx editors, research stated, “The successful synthesis of mon olayer silicon carbide (SiC) has attracted extensive research interest. To broad en its applications in photocatalysis and ultraviolet detection, we have designe d over 4900 new materials through surface functionalization of SiC.”

    Fondazione Policlinico Universitario A. Gemelli IRCCS Reports Findings in Artifi cial Intelligence [Artificial intelligence in interventional radiotherapy (brachytherapy): Enhancing patient-centered care and addressing pat ients’ needs]

    67-67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 Intelligence is the subject of a report. According to news originating from Rome, Italy, by NewsRx correspondents, research stated, “This review explores the integration of artificial intelligence (AI) in interventional radiotherapy (IRT), emphasizing its potential to streamline workflows and enhance patient care. Through a syste matic analysis of 78 relevant papers spanning from 2002 to 2024, we identified significant advancements in contouring, treatment planning, outcome prediction, and quality assurance.”

    University of Ioannina Researcher Publishes New Data on Machine Learning (Combin ing Computational Fluid Dynamics, Structural Analysis, and Machine Learning to P redict Cerebrovascular Events: A Mild ML Approach)

    68-69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 artificial in telligence have been published. According to news originating from Ioannina, Gre ece, by NewsRx editors, the research stated, “In order to predict cerebrovascula r event occurrences, this work introduces a novel method that combines computati onal fluid dynamics (CFD), structural analysis, and machine learning (ML).”