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    Reports from Chinese Academy of Sciences Advance Knowledge in Robotics (Cooperat ive Control Strategy of Multiple Magnetic Millirobots for Automatic Assembly)

    30-31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 Robotics. According to news reporting originating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Cooperative control of multipl e small-scale robots significantly increases capability compared to a single one . However, multiple robots driven by the same magnetic field receive the same in put signal, causing hardly different responses.”

    Studies from Gachon University Update Current Data on Machine Learning (OCTNet: A Modified Multi-Scale Attention Feature Fusion Network with InceptionV3 for Ret inal OCT Image Classification)

    31-32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 reporting originating from Seongnamsi, South Korea, by NewsRx correspondents, research stated, “Classification and i dentification of eye diseases using Optical Coherence Tomography (OCT) has been a challenging task and a trending research area in recent years. Accurate classi fication and detection of different diseases are crucial for effective care mana gement and improving vision outcomes.”

    Study Results from Ohio State University Provide New Insights into Machine Learning (The Tweedledum and Tweedledee of Dynamic Decisions: Discriminating Between Diffusion Decision and Accumulator Models)

    32-33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 Columbus, Ohio, by NewsRx edi tors, the research stated, “Theories of dynamic decision-making are typically bu ilt on evidence accumulation, which is modeled using racing accumulators or diff usion models that track a shifting balance of support over time. However, these two types of models are only two special cases of a more general evidence accumu lation process where options correspond to directions in an accumulation space.”

    Investigators from Capital Medical University Target Robotics (Narrative Review of Latest Research Progress About Robotic Intervention)

    33-34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 originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Robotic percutaneous coronary intervention (R-PCI) is a novel technology in which operators can manipulate guidewires and catheter devices in interventional cardiology. This approach prov ides great benefits to interventional cardiologists in terms of reducing both ra diation exposure and orthopedic injuries.”

    Findings from Department of Electrical Engineering Reveals New Findings on Machine Learning (Wavelet Decomposition Driven Machine Learning for Mechanical Vibration Dependent Fault Detection In Automotive Air Circular System)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have been published. According to news reporting out of West Bengal, India, by NewsRx editors, research stated, “The air-circular system of a vehicle depends on the proper circulation of cold air inside the car. This system should be robust enough to circulate the cold air to maintain the desired temperature inside the vehicle.”

    Zhejiang University School of Medicine Reports Findings in Rheumatoid Arthritis (The role of lactylation in plasma cells and its impact on rheumatoid arthritis pathogenesis: insights from singlecell RNA sequencing and machine learning)

    35-36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 Autoimmune Diseases and Conditions - Rheumatoid Arthritis is the subject of a report. According to new s reporting from Zhejiang, People’s Republic of China, by NewsRx journalists, re search stated, “Rheumatoid arthritis (RA) is a chronic autoimmune disorder chara cterized by persistent synovitis, systemic inflammation, and autoantibody produc tion. This study aims to explore the role of lactylation in plasma cells and its impact on RA pathogenesis.”

    Researchers at Jilin University Release New Data on Machine Learning (The Combin ed Machine Learning Model Smoter-ga-rf for Methane Yield Prediction During Anaer obic Digestion of Straw Lignocellulose Based On Random Forest Regression)

    36-37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 Learning have been published. According to news reporting originating from Changchun, People’s Republic of China, by NewsRx correspondents, research stated, “Simulating anaerobic digestion (AD) using a machine learning (ML) is important for guiding methane production in practice. But the performance of the ML is affected by operational conditions and microbial types and quantities, which lead to low ac curacy of the traditional model.”

    Studies from North China Electric Power University Update Current Data on Machin e Learning (A Tree-based Automated Machine Learning Approach of the Obstructed View Factor of Thermal Radiation In Nuclear Pebble Beds)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “For the nuclear p ebble bed of the high temperature gas-cooled reactor (HTGR), a tree-based automa ted machine learning approach is developed to discuss the complicated thermal ra diation behaviors. The AutoML model for calculating the obstructed view factor b etween any two particles in the pebble bed includes the gradient boosting regres sion tree model with the fine-tuned hyperparameters and the analytical base mode l.”

    New Findings on Robotics from Shanghai Jiao Tong University Summarized (Tracking Error Constraints and Integral Guidance Mechanisms-based Antidisturbance Path-t racking Control for a Robotic Fish)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented in a new report. According to news reporting originating in Shanghai, People’s Re public of China, by NewsRx journalists, research stated, “This work reports a pa th-tracking control method based on tracking error constraints and integral guid ance mechanisms with anti-interference for a robotic fish. A virtual control inp ut is presented, and the adaptive integral light-of-sight rule is developed to e liminate the deviation of the sideslip position and improve the anti-interferenc e ability of the robot.”

    New Findings on Machine Learning Described by Investigators at Sao Paulo State University (UNESP) (Unsupervised Change Detection Methods Applied To Landslide Ma pping: Case Study In Sao Sebastiao, Brazil)

    39-40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 originating from Sao Jose dos Campos, Brazil, by NewsRx correspondents, research stated, “Landslides represent a growing glo bal geological hazard, further intensified by climate-induced changes. Remote se nsing data, through its capacity for repetitive collection and change detection techniques, that compare and quantify the spatio-temporal alterations over time, plays a critical role in landslide detection.”