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    Findings from Xi’an University of Architecture and Technology in the Area of Robotics Described (Model Predictive Control for Nonholonomic Robots With Disturba nces: a Event-driven Method)

    113-114页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Robotics have been presented. According to news reporting from Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “For non-holonomic wheeled mobile robots with coupled constraints and bounded disturbances, a novel event-driven model predictive control (EMPC) strategy is designed in this paper. Firstly, to alleviate the computational and data transmission burden of the system, an EMPC algorithm considering the quasidifferential information of continuous state discrepancies is proposed, rather than only considering the system state at a single moment.”

    New Machine Learning Research Reported from University of Leicester (Machine learning feature importance selection for predicting aboveground biomass in African savannah with landsat 8 and ALOS PALSAR data)

    114-114页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting originating from Leicester, U nited Kingdom, by NewsRx correspondents, research stated, “In remote sensing, mu ltiple input bands are derived from various sensors covering different regions o f the electromagnetic spectrum. Each spectral band plays a unique role in land u se/land cover characterization.”

    Studies in the Area of Support Vector Machines Reported from Chinese Academy of Sciences (A Support Vector Machine Model of Landslide Susceptibility Mapping Based On Hyperparameter Optimization Using the Bayesian Algorithm: a Case Study of the ...)

    115-116页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Support Vector Machines is the subject of a report. According to news reporting originating from Beijing, People’ s Republic of China, by NewsRx correspondents, research stated, “Recent advancements have seen a pervasive application of machine learning methodologies in assessing the susceptibility of geological hazards. A pivotal element influencing the accuracy of model predictions resides in the prudent selection of model parameters within machine learning frameworks.”

    New Artificial Intelligence Study Results from Northwestern University Described (Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities)

    116-116页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Evanston, Illinois, by NewsRx editors, the research stated, “The integration of artificial intelligence (AI) into point-of-care (POC) biosensing has the potential to revolutionize diagnostic methodologies by offering rapid, accurate, and accessible health assessment directly at the patient level.”

    Soka University Researcher Describes Advances in Machine Translation (The Charac teristics of Face-to-Face Communication Using Consecutive Speech Machine Transla tion Technology)

    117-117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 translation is the subject of a new report. According to news reporting originating from Soka University by NewsRx correspondents, research stated, “The growing role of technology in society, particularly machine translation, has grown due to its enhance d accuracy.”

    Data on Robotics Described by a Researcher at Beijing Institute of Technology (A daptive Gait Acquisition through Learning Dynamic Stimulus Instinct of Bipedal Robot)

    117-118页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on robotics are presented i n a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Standard alternating leg mot ions serve as the foundation for simple bipedal gaits, and the effectiveness of the fixed stimulus signal has been proved in recent studies.”

    Research from University of Manchester Yields New Findings on Machine Learning ( Exploring Efficient Quantitative Trading Strategies: A Comprehensive Comparison of Momentum, SMAs and Machine Learning)

    118-119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 intelligence are discussed in a new report. According to news reporting from Manchester, United Kingdom, by NewsRx journalists, research stated, “To provide an objective analysis, this study examines three quantitative trading strategies: Momentum, Moving Average Crossover, and Machine Learning individually but in a common m ethodological setting.”

    Data on Robotics and Automation Detailed by Researchers at Xi’an Jiaotong University (Simple-rotation Angle/axis Representations Based Second-order Impedance Control)

    119-120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 Robotics - Robotics an d Automation is the subject of a report. According to news reporting originating from Shaanxi, People’s Republic of China, by NewsRx correspondents, research st ated, “Since the difference in angular velocity is used as the derivative of the orientation error in the classical impedance control, there is no longer a form of the second-order differential equation (SODE), and there is non-linearity in the classical impedance control, which limits applications. To address this pro blem, this article uses simple-rotation angle/axis representations (SRAAR), as w ell as their derivatives, to describe the end-effector’s orientation displacemen t and its derivatives in impedance control.”

    Reports on Machine Learning from Zhengzhou University Provide New Insights (Design of High Performance Cu-ni-si Alloys Via a Multiobjective Strategy Based On Ma chine Learning)

    120-121页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Zhengzhou, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Herein, the u ltimate tensile strength and electrical conductivity of precipitation-strengthen ed Cu-Ni-Si alloys were simultaneously improved by utilizing a machine learning- based multiobjective design strategy. The multiobjective design strategy consist s of five main steps: creating the initial dataset, generating alloy features, s creening key alloy features, modeling and inversely designing, and experimental iteration.”

    Study Data from University of Dayton Update Knowledge of Robotics (Tensile Prope rties of Robotic 3d-printed Parts With Varying Contour Layer Thickness)

    121-121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 Robotics is the subjec t of a report. According to news reporting out of Dayton, Ohio, by NewsRx editor s, research stated, “Additive manufacturing (AM) technology is rapidly advancing across diverse fields. For instance, the use of robotic arms in various AM proc esses has led to significant gains in printing flexibility and manufacturing scalability.”