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    Researcher from China University of Geosciences Provides Details of New Studies and Findings in the Area of Machine Learning (Comparison of Multiple Machine Learning Methods for Correcting Groundwater Levels Predicted by Physics-Based Models)

    69-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial intelligence. According to news reporting out ofBeijing, People’s Republic of China, by NewsRx editors, research stated, “Accurate groundwater level(GWL) prediction is crucial in groundwater resource management. Currently, it relies mainly on physicsbasedmodels for prediction and quantitative analysis.”

    Findings from Nanjing University of Aeronautics and Astronautics Update Knowledge of Intelligent Transport Systems (Tir-yoloadas: a Thermal Infrared Object Detection Framework for Advanced Driver Assistance Systems)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Transportation - Intelligent Transport Systems. Accordingto news reporting out of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “Anobject detection framework using thermal infrared (TIR) cameras is proposed to meet the needs of anadvanced driver assistance system (ADAS) operating at night-time and in low-visibility conditions. Theproposed detection framework, referred to as TIR-YOLO-ADAS, is an improvement of YOLOX for TIRobject detection in ADAS.”

    Research from Universidad Autonoma de Queretaro in Artificial Intelligence Provides New Insights (Artificial Intelligence-Based Aquaculture System for Optimizing the Quality of Water: A Systematic Analysis)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsreporting out of the Universidad Autonoma de Queretaro by NewsRx editors, research stated, “The worldpopulation is expected to grow to around 9 billion by 2050.”

    New Findings from Jaypee University of Information Technology in the Area of Machine Learning Described (A Robust Approach To Shear Strength Prediction of Reinforced Concrete Deep Beams Using Ensemble Learning With Shap Interpretability)

    72-72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 Machine Learning is now available. According to news reportingoriginating from Himachal Prades, India, by NewsRx correspondents, research stated, “The behavior ofreinforced concrete (RC) deep beams is complex and difficult to predict due to factors such as compressiveand shear stress and beam geometry. To address this challenge, researchers have proposed various machinelearning models such as Artificial Neural Network, Decision Tree, Support Vector Machine, AdaptiveBoosting, Extreme Gradient Boosting, Random Forest, Gradient Boosting, and Voting Regressor.”

    New Nanofluids Data Have Been Reported by Investigators at Department of Mathematics (Numerical Computation and Prediction Analysis On Multilayer Flow Through Porous Medium Saturated With Mono Nanofluid)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Nanotechnology - Nanofluids is now available. According to news originatingfrom Coimbatore, India, by NewsRx correspondents, research stated, “Many scientific and technologicaldisciplines in the specialization of chemical and petroleum sectors are related to multilayer fluid flowsystems. In light of this perspective, the current article focuses on the steady, laminar flow of mononanofluid saturated with porous media sandwiched between a viscous fluid filled in a vertical channel todevelop a new model.”

    New Machine Learning Study Results from Zhejiang University of Technology Described (Unveiling Key Factors Governing Seismogenic Potential and Seismogenic Productivity of Hydraulic Fracturing Pads: Insights From Machine Learning In the Southern …)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Zhejiang, People’s Republic of China, by NewsRx editors, research stated, “Oneof the most challenging works in mitigating seismic hazard related to injection-induced earthquakes (IIE)is to adequately estimate the activity level of IIE caused by individual hydraulic fracturing (HF) pad.Reliable estimation is largely dependent on comprehensively deciphering the relationships between IIE andthe controlling factors.”

    Study Findings on Robotics and Artificial Intelligence Discussed by Researchers at Oregon State University (How should robots exercise with people? Robot-mediated exergames win with music, social analogues, and gameplay clarity)

    76-76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 robotics and artificial intelligence. Accordingto news originating from Corvallis, Oregon, by NewsRx correspondents, research stated, “The modernworldwide trend toward sedentary behavior comes with significant health risks.”

    Researchers from Wuhan University of Technology Describe Findings in Robotics (Solving Human-robot Collaborative Mixed-model Two-sided Assembly Line Balancing Using Multi-objective Discrete Artificial Bee Colony Algorithm)

    78-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a report. According to news reporting out of Wuhan,People’s Republic of China, by NewsRx editors, research stated, “Human-robot collaboration (HRC) is anemerging technology that aims to optimize production efficiency and reduce ergonomic risks by enablinghumans and collaborative robots to work together in a shared workspace. This paper investigates HRCmixed-model two-sided assembly line balancing problem, which is a challenging real-world problem inmanufacturing systems.”

    Patent Issued for Industrial robot arm (USPTO 11865711)

    79-83页
    查看更多>>摘要:Patent number 11865711 is assigned to Cognibiotics AB (Lund, Sweden).The following quote was obtained by the news editors from the background information supplied bythe inventors: “High safety installations are needed for example at direct collaboration between humanand robot and when it is an advantage to use fenceless robot installations. Looking at the state of art,there are parallel kinematic robots (as the Delta robot described in WO1987003528A1), which have all theactuators mounted on a fixed stand and where it is therefore possible to obtain a light weight structure.However, these parallel kinematic robots have the disadvantage that the arm system occupies a very largespace and that the workspace is very small in relation to the space needed for the arm system. Therefore,these robots can only be used for applications where a large space is available for the arm system andwhere it is enough to have a very restricted workspace, especially in the vertical direction. Thus, the Deltarobot is mainly used for pick- and place operations above a flat surface such as a conveyor belt with plentyof space for the robot arm structure.

    Data on Robotics and Automation Reported by Researchers at Harvard University (Transformable Linkage-based Gripper for Multimode Grasping and Manipulation)

    79-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on Robotics - Robotics and Automation have been presented. According to newsreporting originating in Boston, Massachusetts, by NewsRx journalists, research stated, “Gripper hardwaredesign often involves a trade-off between distinct and sometimes opposing goals (e.g., high grasping forcevs. gentleness). To address this trade-off within a single device, we present a multi-mode gripper withfingers that are scissor linkages, that can actively transform between three distinct modes by varying thenumber and locations of mechanical singularities.”