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    Researchers at Virginia Polytechnic Institute and State University (Virginia Tech) Have Published New Study Findings on Machine Learning (Predicting meltpool depth and primary dendritic arm spacing in laser powder bed fusion additive …)

    20-20页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Blacksburg, Virginia, by NewsRx journalists, research stated, “The long-term goal of thiswork is to predict and control the microstructure evolution in metal additive manufacturing processes. Inpursuit of this goal, we developed and applied an approach which combines physics-based thermal modelingwith machine learning to predict two important microstructure-related characteristics, namely, the meltpooldepth and primary dendritic arm spacing in Nickel Alloy 718 parts made using the laser powder bed fusion(LPBF) process.”

    New Robotics and Artificial Intelligence Research Reported from National Technical University of Athens (Reactive optimal motion planning for a class of holonomic planar agents using reinforcement learning with provable guarantees)

    21-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics and artificial intelligence are discussed in a new report.According to news reporting from Athens, Greece, by NewsRx journalists, research stated, “In controltheory, reactive methods have been widely celebrated owing to their success in providing robust, provablyconvergent solutions to control problems.”

    Studies from Kent State University Have Provided New Data on Machine Learning (Bullet ricochet mark plan-view morphology in concrete: an experimental assessment of five bullet types and two distances using machine learning)

    22-22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 originatingfrom Kent, Ohio, by NewsRx correspondents, research stated, “Bullet ricochets are common occurrencesduring shooting incidents and can provide a wealth of information useful for shooting incident reconstruction.”

    Data on Robotics Discussed by Researchers at Jiangsu University (Analysis and Optimization of Laying Process Parameters of Carbon Fiber Reinforced Thermoplastic Composites for Additive Manufacturing Using Robot)

    23-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Robotics are presented in a new report. According to news reporting out ofZhenjiang, People’s Republic of China, by NewsRx editors, research stated, “The research object of thispaper is carbon fiber reinforced thermoplastic composite CF/PEEK. Through control planning of robotmotion, simulation and experiment on Paving pressure and paving speed are carried out, and on this basisanalysis and optimization are carried out.”

    Rzeszow University of Technology Researcher Targets Robotics (Influence of the Manipulator Configuration on Vibration Effects)

    24-24页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been presented. According to news reporting originatingfrom Rzeszow, Poland, by NewsRx correspondents, research stated, “Vibration analysis of industrial robotsis one of the key issues in the context of robotisation of machining processes.”

    Findings from China University of Mining and Technology Reveals New Findings on Robotics (Research On Lightweight Yolo Coal Gangue Detection Algorithm Based On Resnet18 Backbone Feature Network)

    25-25页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Robotics. According to news reporting originating in Beijing,People’s Republic of China, by NewsRx journalists, research stated, “Nowadays coal gangue presortingis still mostly conducted manually, with high labor intensity, low sorting efficiency, and potential safetyhazards. A coal gangue sorting robot that is an effective device to complete the coal gangue presortinginstead of the worker, for which the coal gangue intelligent detection is one of its key technologies.”

    Studies from Tsinghua University Describe New Findings in Machine Learning (Unravelling the Drought Variance Using Machine Learning Methods in Six Capital Cities of Australia)

    26-26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 artificial intelligence have been published. According to newsoriginating from Beijing, People’s Republic of China, by NewsRx editors, the research stated, “Understandingand projecting drought, especially in the face of climate change, is crucial for assessing its impendingrisks. However, the causes of drought are multifaceted.”

    Findings on Machine Learning Reported by Investigators at University Hospital 12 Octubre (Could Machine Learning Algorithms Help Us In Predicting Massive Hemorrhage At the Prehospital Level?)

    27-27页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news originating from Madrid,Spain, by NewsRx correspondents, research stated, “Comparison of the predictive ability of various machinelearning algorithms (MLA) versus traditional prediction scales for massive hemorrhage in patients withsevere traumatic injury (ETG). On a database of a retrospective cohort with prehospital clinical variablesand massive hemorrhage outcome, a treatment of the database was performed to be able to apply thedifferent MLA, obtaining a total set of 473 patients (80% training and 20% validation).”

    Researcher at School of Mechanical Engineering Reports Research in Robotics (An analytical approach to the stiffness calculation of statically indeterminate 3-DOF delta parallelogram-type parallel robot)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on robotics have been presented. According to news reporting originatingfrom Tehran, Iran, by NewsRx correspondents, research stated, “This paper introduces an analyticalapproach entailing a clear physical meaning for calculating the stiffness of the 3-DOF Delta parallel robot.”The news editors obtained a quote from the research from School of Mechanical Engineering: “Bydefining suitable linear and torsion springs, the stiffness of the robot components in different postures andthe stiffness coefficients of the indeterminate parallelogram under conceivable wrenches are comprehensivelyobtained. Moreover, the stiffness coefficients for each limb chain are assigned, and then by considering theassigned stiffness coefficients and static equilibriums the indeterminate problem of 3-RUU DPRs is solved.By reformulating the forward kinematics which takes into account the deflected components and basedon the elastic properties, the deflection in each manipulator component is calculated and the amount ofmoving platform twist is obtained.”

    Data on Machine Learning Discussed by Researchers at Christiana Care Health System (A Machine Learning Algorithm Using Clinical and Demographic Data for All-cause Preterm Birth Prediction)

    29-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learning. According to news reporting originating fromNewark, Delaware, by NewsRx correspondents, research stated, “Preterm birth remains the predominantcause of perinatal mortality throughout the United States and the world, with well-documented racial andsocioeconomic disparities. To develop and validate a predictive algorithm for all-cause preterm birth usingclinical, demographic, and laboratory data using machine learning.Study Design We performed a cohortstudy of pregnant individuals delivering at a single institution using prospectively collected information onclinical conditions, patient demographics, laboratory data, and health care utilization.”