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    New Findings on Machine Learning from South China University of Technology Summa rized (Assessment for Burst Failure of Subsea Production Pipeline Systems Based On Machine Learning)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Guangzhou, People’ s Republic of China, by NewsRx correspondents, research stated,“Subsea producti on system occupies an important position in the development of deep-sea resource s. Asa key part of the subsea production system, the safety and reliability of the pipeline system of the subseaproduction system is crucially important.”

    New Data from Harbin Institute of Technology Illuminate Findings in Intelligent Vehicles (Integration of Motion Planning and Control for High-performance Automa ted Vehicles Using Tube-based Nonlinear Mpc)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Transportatio n - Intelligent Vehicles. According to newsreporting out of Harbin, People’s Re public of China, by NewsRx editors, research stated, “In this paper,we focus on the integration of motion planning and control for high-performance automated v ehicles.We propose a novel tube-based nonlinear model predictive control (TNMPC ) scheme that combines thestrengths of MPC and boundary layer sliding control ( BLSC) to drive the controlled vehicle along a realtimeand high-performance tra jectory while simultaneously ensuring practical satisfaction of constraints.”

    Industrial Technology Research Institute Researcher Furthers Understanding of Ma chine Learning (Efficient Compressive Strength Prediction of Alkali-Activated Wa ste Materials Using Machine Learning)

    12-13页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from Hsinchu, Ta iwan, by NewsRx correspondents, research stated, “This study exploresthe integr ation of machine learning (ML) techniques to predict and optimize the compressiv e strength ofalkali-activated materials (AAMs) sourced from four industrial was te streams: blast furnace slag, fly ash,reducing slag, and waste glass.”

    Reports from Chinese Academy of Sciences Describe Recent Advances in Machine Lea rning (Spatial-temporal Distribution of Labeled Set Bias Remote Sensing Estimati on: an Implication for Supervised Machine Learning In Water Quality Monitoring)

    13-14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 Machine Learn ing have been published. According to newsreporting out of Wuhan, People’s Repu blic of China, by NewsRx editors, research stated, “Supervisedmachine learning (SML) has become a crucial tool for estimating water quality parameters (WQPs) f romsatellite images. Its effectiveness relies heavily on synchronised in-situ d atasets covering diverse waterbodies.”

    Investigators at University of Putra Malaysia Detail Findings in Machine Learnin g (Forecasting Material Quantity Using Machine Learning and Times Series Techniq ues)

    14-15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 reportingfrom Selangor, Malaysia, by NewsRx journ alists, research stated, “The current research is dedicated toharnessing cuttin g-edge technologies within the paradigm of Industry 5.0. The objective is to cap italizeon advancements in Machine and Deep Learning techniques.”

    Researchers from University of Glasgow Report Recent Findings in Machine Learnin g (Faster Convergence On Differential Privacybased Federated Learning)

    15-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Lanark, United Kingdom, by N ewsRx correspondents, research stated, “As a novel distributed machinelearning approach, federated learning (FL) is proposed to train a global model while pres erving data privacy.However, some studies manifest that adversaries can still r ecover private information from the gradients.”

    New Robotics Findings from Southern University of Science and Technology (SUSTec h) Reported (Foot Vision: a Vision-based Multi-functional Sensorized Foot for Qu adruped Robots)

    16-17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 Ro botics. According to news reporting from Shenzhen,People’s Republic of China, b y NewsRx journalists, research stated, “Quadruped robots equippedwith sensorles s feet can only provide limited information regarding the foot interaction with the surroundings,limiting their off-road exploration capability in unstructured environments. To tackle this problem,we present Foot Vision, an innovative vis ion-based sensorized foot for quadruped robots.”

    Findings in the Area of Artificial Intelligence Reported from Ministry of Natura l Resources (Remote Sensing Techniques for Detecting Internal Solitary Waves: a Comprehensive Review and Prospects)

    17-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting from Qingdao, People’s Republic of China, by NewsRx journalists, research stated, “Oceanicinternal so litary waves (ISWs) are widely distributed in oceans worldwide. ISWs exhibit sig nificant amplitudes,high speeds, and short periods and thus have a substantial impact on the surrounding environmentand engineering activities.”

    Reports Outline Machine Learning Findings from Thammasat University (Computation al Modeling of Animal Behavior In T-mazes: Insights From Machine Learning)

    18-18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 Ma chine Learning. According to news reporting outof Pathum Thani, Thailand, by Ne wsRx editors, research stated, “This study investigates the intricacies ofanima l decision-making in T-maze environments through a synergistic approach combinin g computationalmodeling and machine learning techniques. Focusing on the binary decisionmaking process in T-mazes, weexamine how animals navigate choices betw een two paths.”

    New Robotics Data Have Been Reported by Researchers at Albert Einstein Israelite Hospital (Robotic-assisted Endovascular Treatment for Transplant Renal Artery S tenosis: a Feasibility Study)

    19-19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 Ro botics. According to news reporting from SaoPaulo, Brazil, by NewsRx journalist s, research stated, “PurposeTo describe a single-center experience withrobotic- assisted endovascular treatment for transplant renal artery stenosis.Materials a nd MethodsThisis a single-center, retrospective, feasibility study of 4 consecu tive cases of robotic-assisted endovascularsurgery for transplant renal artery stenosis from October 2021 to August 2022.ResultsAll lesions wereidentified, an d stenting was performed with no complications. Conversion to manual control was notnecessary.”