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    Study Findings from University of Science and Technology China Broaden Understan ding of Robotics and Automation (Pe-planner: a Performance-enhanced Quadrotor Mo tion Planner for Autonomous Flight In Complex and Dynamic Environments)

    56-56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 - Ro botics and Automation have been published. According to news reporting from Hefe i, People’s Republic of China, by NewsRx journalists, research stated, “The role of a motion planner is pivotal in quadrotor applications, yet existing methods often struggle to adapt to complex environments, limiting their ability to achie ve fast, safe, and robust flight. In this letter, we introduce a performance-enh anced quadrotor motion planner designed for autonomous flight in complex environ ments including dense obstacles, dynamic obstacles, and unknown disturbances.”

    North Dakota State University Reports Findings in Machine Learning (Multi-Endpoi nt Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Lear ning Modeling)

    58-58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 th e subject of a report. According to news originating from Fargo, North Dakota, b y NewsRx correspondents, research stated, “In recent years, alternative animal t esting methods such as computational and machine learning approaches have become increasingly crucial for toxicity testing. However, the complexity and scarcity of available biomedical data challenge the development of predictive models.”

    Recent Findings from Department of Chemical Engineering Provides New Insights in to Machine Learning (Studies On Thermal Degradation Kinetics and Machine Learnin g Modeling of Hydrochar Produced From Hydrothermal Carbonization of Municipal Se wage...)

    59-60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 Machine Learn ing. According to news reporting out of Kanpur, India, by NewsRx editors, resear ch stated, “Hydrochar (HC), a carbonaceous material that can be used as solid fu el, is produced from wet biomass through hydrothermal carbonization (HTC). In th is investigation, activated hydrochar is derived from municipal sewage sludge an d key lime peel biomass.”

    Reports Outline Robotics Study Findings from Henan Polytechnic University (Robot kinematics analysis and trajectory planning based on artificial potential field method)

    60-60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 from Henan, People’s Republic of China, by NewsRx journ alists, research stated, “In order for a robot to complete a given task, it must first be made to autonomously reach a specified target location, so optimizing the robot path trajectory planning is a prerequisite for the use of robots.”

    New Findings from University Juarez Autonoma of Tabasco in the Area of Support V ector Machines Described (Asymptotic Behavior of Some Multicategory Classificati on Methods for High-dimensional Data)

    61-61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 - Sup port Vector Machines is the subject of a report. According to news reporting out of Tabasco, Mexico, by NewsRx editors, research stated, “We consider multicateg ory extensions of binary discrimination methods via one-versus-one (OVO) or one- versus-rest (OVR) methodologies, focusing on extensions of the binary classifica tion by linear mean difference (MD), support vector machine (SVM), maximal data piling (MDP), and distance weighted discrimination (DWD) via OVO, and the multic ategory extension of MD via OVR, in the context of high-dimensional and low samp le size (HDLSS) data. The asymptotic behavior of OVO-MD, OVO-SVM, OVO-MDP and OV ODWD is described when the dimension of the data increases and the sample size is fixed, in terms of the probabilities of correct classification of a new data point, finding sufficient conditions for the correct classification probabilitie s to converge to one as the dimension approaches infinity.”

    Researchers from South Carolina State University Detail Research in Machine Lear ning (Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies)

    62-62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 Orangeburg, South Ca rolina, by NewsRx editors, the research stated, “Detection and estimation of pot hole dimensions is an essential step in road maintenance. Aging, heavy rainfall, traffic, and weak underlying layers may cause pavement potholes.”

    Researcher at Universidad Tecnica del Norte Publishes New Data on Artificial Int elligence (An Artificial Intelligence Approach for Estimating the Turbidity of A rtisanal Wine and Dosage of Clarifying Agents)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting from Ibarra, E cuador, by NewsRx journalists, research stated, “Red wine is a beverage consumed worldwide and contains suspended solids that cause turbidity.”

    New Artificial Intelligence Study Findings Reported from University of Electroni c Science and Technology of China (Inversion of the Electron Density In the Lowe r Ionosphere Using Artificial Intelligence)

    68-68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 Artificial Intelligence is now available. According to news reporting out of Chengdu, People’s Republic of China, by NewsRx editors, research stated, “In this letter, we propose a new method that is based on the frequency-domain finite element method and artifici al intelligence (FDFEM-AI) to invert the electron density in the lower ionospher e. The highly efficient FDFEM is reported to build a dataset for training and te sting neural networks.”

    Investigators at Jinhua Polytechnic Detail Findings in Machine Learning (Applica tion of Machine Learning Boosting and Bagging Methods To Predict Compressive and Flexural Strength of Marble Cement Mortar)

    70-70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 originating from Zhejiang, People’ s Republic of China, by NewsRx editors, the research stated, “Compressive (CS) a nd flexural strength (FS) of sustainable mortar made from waste materials were e stimated using machine learning (ML) tools. Ensemble ML techniques, including ex treme gradient boosting (XGB) and bagging regressor (BR), were utilized to accom plish the study goals.”

    Findings in Machine Learning Reported from Institute of Meteorology and Climate Research (How Cloud Droplet Number Concentration Impacts Liquid Water Path and P recipitation in Marine Stratocumulus Clouds-A Satellite-Based Analysis Using ... )

    71-71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 Karlsruhe, Germany, by NewsRx correspondents, research stated, “Aerosol-cloudprecipitatio n interactions (ACI) are a known major cause of uncertainties in simulations of the future climate.”