首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Research Conducted at Chinese Academy of Sciences Has Updated Our Knowledge abou t Robotics (Neural Manifold Modulated Continual Reinforcement Learning for Muscu loskeletal Robots)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting fromBeijing, People’s Republic of China, by NewsRx journalists, research stated, “The continual learning anddevelopment are significant for robots to learn multiple tasks sequentially. The difficulty lies in balancingthe efficient learning of new tasks and overcoming catastrophi c forgetting of old tasks.”

    Recent Findings from Aristotle University of Thessaloniki Provides New Insights into Machine Learning (Condition Monitoring Framework for Damage Identification In Cfrp Rotating Shafts Using Model-driven Machine Learning Techniques)

    21-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Thessaloniki, Greece, by News Rx journalists, research stated, “Real-time condition monitoring (CM)through vi bration measurements is instrumental in detecting faults and enabling predictive maintenancefor mechanical systems. The accuracy and robustness of a CM applica tion depends among others onthe availability of data for different health state s which typically requires complete experimental measurements.”

    Studies Conducted at Technical University on Artificial Intelligence Recently Pu blished (Aspects of the use of Drone Photogrammetry in Construction Equipment Ma nagement using Artificial Intelligence AI)

    22-22页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Technical University by NewsRx correspondents, research stated, “The management of constructionequi pment on a construction site is particularly important for increasing productivi ty on constructionsites.”

    Researchers at Zhejiang Science Technical University Release New Data on Machine Learning (Extraction and Recognition of Breast Morphological Feature Parameters Based On Machine Learning Models)

    22-23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 originatingfrom Hangzhou, People’s Republic o f China, by NewsRx correspondents, research stated, “Breast featureparameters c ould represent breast morphology. It is significant for improving bra fit, and i s an importantaspect of garment ergonomics.”

    Findings from Zhejiang University in Robotics Reported (Visuotactile Sensor Dev elopment and Its Application for Non-destructive Measurement of Peach Firmness)

    23-24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 Ro botics. According to news originating fromHangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The assessment offirmness plays a pivotal role in evaluating the quality of peaches, exerting a profound impact on bothharvesting and storage practices. Precise firmness measurement enables the implementation of a rationalstorage strategy, ultimately minimizing unnecessar y waste.”

    Researchers at Northwestern University Target Machine Learning (Deforestvis: Beh aviour Analysis of Machine Learning Models With Surrogate Decision Stumps)

    24-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Evanston, Illinois, by NewsRx correspondents, research stated, “As the complexity ofmachine learning (ML) models increases and their application in different (and critical) domains grows,there is a strong demand for more interpretable and trustworthy ML. A dir ect, model-agnostic, way tointerpret such models is to train surrogate models-s uch as rule sets and decision trees-that sufficientlyapproximate the original o nes while being simpler and easier-to-explain.”

    Julich Supercomputing Centre Reports Findings in Machine Learning (Development o f a machine learning model for prediction of the duration of unassisted spontane ous breathing in patients during prolonged weaning from mechanical ventilation)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Julich, Germany, by Ne wsRx editors, research stated, “Treatment of patients undergoingprolonged weani ng from mechanical ventilation includes repeated spontaneous breathing trials (S BTs)without respiratory support, whose duration must be balanced critically to prevent over- and underload of respiratory musculature. This study aimed to deve lop a machine learning model to predict the durationof unassisted spontaneous b reathing.”

    Research Data from Singapore University of Technology and Design Update Understa nding of Robotics (Inter-Reconfigurable Robot Path Planner for Double-Pass Compl ete Coverage Problem)

    26-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented i n a new report. According to news originating fromSingapore, Singapore, by News Rx correspondents, research stated, “Recent advancements in autonomousmobile ro bots have led to significant progress in area coverage tasks.”

    Reports from Institut Teknologi Sepuluh Nopember Highlight Recent Research in Ma chine Learning (Machine Learning Algorithms for Predicting Factitious Disorder U sing the Learning Vector Quantization Method)

    27-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news reporting fromthe Institut Teknologi Sepuluh Nope mber by NewsRx journalists, research stated, “Factitious disorder isclassified as a mental problem because it is related to severe emotional disorders. A perso n who hasfactitious disorder intentionally produces symptoms of the disease for the purpose of receiving care andattention in a medical setting.”

    New Findings in Robotics Described from Jilin University (Optomagnetic Coordinat ion Helical Robot With Shape Transformation and Multimodal Motion Capabilities)

    28-29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 Ro botics. According to news reporting originatingin Changchun, People’s Republic of China, by NewsRx journalists, research stated, “Soft robots withmagnetic res ponsiveness exhibit diverse motion modes and programmable shape transformations. Whilethe fixed magnetization configuration facilitates coupling control of rob ot posture and motion, it limitsindividual posture control to some extent.”