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    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.”

    New Machine Learning Findings from Oak Ridge National Laboratory Described (A Ma chine Learning Approach for Particle Accelerator Errant Beam Prediction Using Sp atial Phase Deviation)

    63-63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 Lea rning. According to news reporting from Oak Ridge, Tennessee, by NewsRx journali sts, research stated, “Particle accelerators are extremely complex systems that are expected to operate on high availability. Predicting impending failures only by utilizing data collected from diagnostic equipment already on board can help operators to avoid installing expensive sensors, unscheduled downtime and assoc iated costs.”

    Study Results from Litron Laboratories Update Understanding of Machine Learning (Visualization Strategies To Aid Interpretation of High-dimensional Genotoxicity Data)

    64-64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 Learn ing have been published. According to news reporting out of Rochester, New York, by NewsRx editors, research stated, “This article describes a range of high-dim ensional data visualization strategies that we have explored for their ability t o complement machine learning algorithm predictions derived from MultiFlow ® ass ay results. For this exercise, we focused on seven biomarker responses resulting from the exposure of TK6 cells to each of 126 diverse chemicals over a range of concentrations.”

    Kunming University of Science and Technology Researchers Have Provided New Study Findings on Robotics (Strawberry Detection and Ripeness Classification Using YO LOv8+ Model and Image Processing Method)

    65-65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 robotics. According to news reporting out of Kunming, People’s Republic of China , by NewsRx editors, research stated, “As strawberries are a widely grown cash c rop, the development of strawberry fruit-picking robots for an intelligent harve sting system should match the rapid development of strawberry cultivation techno logy. Ripeness identification is a key step to realizing selective harvesting by strawberry fruit-picking robots.”

    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.”

    Huazhong University of Science and Technology Researchers Provide Details of New Studies and Findings in the Area of Androids (Anthropomorphic motion planning f or multi-degree-of-freedom arms)

    67-68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 androids. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “With the development of technology, the humanoid robot is no longer a concept, but a practical partner with the pote ntial to assist people in industry, healthcare and other daily scenarios. The ba sis for the success of humanoid robots is not only their appearance, but more im portantly their anthropomorphic behaviors, which is crucial for the human-robot interaction.”