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

    Anhui Polytechnic University Reports Findings in Robotics (Influence of periodic pulse intake on the ventilation efficiency of positive pressure explosion-proof robot)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subject of a report. According to news reportingoriginating from Wuhu, People’s Republic of China, by NewsRx correspondents, research stated, “Theventilation work is an important step to be completed before the start of the positive pressure explosionproof robot. The existing explosion-proof technology uses constant pressure inflation, which will causeexplosive gas to accumulate in the corner area of the cavity for a long time.”

    Studies from Zhejiang University Have Provided New Information about Machine Learning [Explainable Prediction of Deposited Film Thickness In Ic Fabrication With Catboost and Shapley Additive Explanations (Shap) Models]

    57-58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 reportingoriginating from Zhejiang, People’s Republic of China, by NewsRx correspondents, research stated, “Thispaper presents a study on developing a chemical vapor deposition film thickness prediction model forsemiconductor IC manufacturing. Traditional methods for measuring layer thickness are time-consumingand labor-intensive, prompting the exploration of machine-learning techniques for virtual measurement.”

    New Robotics and Automation Findings from National Technical University of Athens Reported (State-feedback Optimal Motion Planning In the Presence of Obstacles)

    58-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics - Robotics and Automation is now available. According tonews reporting from Athens, Greece, by NewsRx journalists, research stated, “In this letter, a solution to thekinematic optimal motion planning problem is presented, where a previous nearly globally optimal approachis extended to workspaces with internal obstacles. The method is inspired by fundamental properties ofvelocity fields in the presence of obstacles, where topological restrictions inhibit naive approaches.”

    Findings from Tsinghua University Reveals New Findings on Robotics and Automation (Active Neural Topological Mapping for Multi-agent Exploration)

    59-60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 - Robotics and Automation. Accordingto news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated,“This letter investigates the multi-agent cooperative exploration problem, which requires multiple agentsto explore an unseen environment via sensory signals in a limited time. A popular approach to explorationtasks is to combine active mapping with planning.”

    Researchers from East China Normal University Report on Findings in Machine Learning (Machine Learning Accelerated Study for Predicting the Lattice Constant and Substitution Energy of Metal Doped Titanium Dioxide)

    60-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Currently,titanium dioxide (TiO2) has been extensively studied for its wide applications in many fields, andmetal doping is regarded as one of the important methods for modifying TiO2 to improve its performance.Previous explorations on metal doped TiO2 mainly relied on density functional theory (DFT) calculationsor chemical experiments, which required lots of time, computation resource, and costs.”

    Zhejiang Science Technical University Details Findings in Robotics (Dsw-yolo: a Detection Method for Ground-planted Strawberry Fruits Under Different Occlusion Levels)

    61-62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 in a new report. According to news originatingfrom Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The problemsof stem and leaf shading, fruit overlapping, and different ripening stages pose a great challenge to pickingrobots, which are usual for the ground-planted strawberries in field. To achieve accurate detection ofripe strawberries and their occlusion levels, a DSW-YOLO (DCNv3-SA-WIoU-YOLO) network model isproposed based on the YOLOv7 network model.”

    New Machine Learning Findings from Nanjing University Discussed (Evaluation of Methods for the Detection of Hazardous Substances In Food Based On Machine Learning)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofNanjing, People’s Republic of China, by NewsRx editors, research stated, “With new detection methodsfor hazards in food being created, it is essential to build an evaluation model of these methods in order toimprove the level and efficiency of food safety related detection. Back propagation neural network (BPNN),classification and regression tree (CART), support vector regression (SVR) and random forest regression(RFR) are the supervised machine learning methods used to build the model.”

    Data on Robotics and Automation Detailed by Researchers at University of Waterloo (Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Robotics and Automation have been published. Accordingto news originating from Waterloo, Canada, by NewsRx correspondents, research stated, “Imitationlearning methods have proven effective in learning robotic tasks by leveraging multiple human-controlleddemonstrations.”

    Reports from Donghua University Advance Knowledge in Machine Learning (Accelerating Design of Glass Substrates By Machine Learning Using Small-to-medium Datasets)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The demand forhigh-performance displays is driving the development of glass substrates with extremely low strain variationduring manufacturing. To achieve the necessary balance of physical properties to resist strain, the traditionalcompositional design methods for glass substrates like trial-and-error and classical computational techniquesshould be optimized.”

    Ewha Womans University Researcher Furthers Understanding of Machine Learning (Machine Learning-Assisted Identification of Single-Layer Graphene via Color Variation Analysis)

    65-66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 artificial intelligence. According to news reportingoriginating from Seoul, South Korea, by NewsRx correspondents, research stated, “Techniques such as usingan optical microscope and Raman spectroscopy are common methods for detecting single-layer graphene.”Financial supporters for this research include National Research Foundation of Korea; Human FrontierScience Program.