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    Research from University of Shanghai for Science and Technology in Robotics Prov ides New Insights (Instance Segmentation of Sparse Point Clouds with Spatio-Temp oral Coding for Autonomous Robot)

    37-37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 reporting out of Shanghai, People’s Republic o f China, by NewsRx editors, research stated, “In the study of Simultaneous Local ization and Mapping (SLAM), the existence of dynamic obstacles will have a great impact on it, and when there are many dynamic obstacles, it will lead to great challenges in mapping.” Financial supporters for this research include National Key Research & Development Plan of Ministry of Science And Technology of China.

    New Robotics Findings from Southwest Petroleum University Described (Wide-range Controllable Stick-to-slip Hydrogels By Synergistic Effects of Wettability and S urface Morphology)

    38-39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 Robotics are disc ussed in a new report. According to news reporting from Sichuan, People’s Republ ic of China, by NewsRx journalists, research stated, “With the ability to swiftl y transition into a lubricated state hold significant importance across various applications, including human -machine interfaces, crawling robots, and medical dressings. Achieving a rapid and reversible shift from high adhesion to low fric tion over a broad range has posed a considerable challenge, as most reversible t ransitions in adhesive hydrogels typically occur only at the microscopic level.”

    New Machine Learning Findings from Hefei University of Technology Outlined (An A uto-configurable Machine Learning Framework To Optimize and Predict Catalysts fo r Co2 To Light Olefins Process)

    39-40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 Machine Learning have been presented. According to news reporting from Hefei, People’s Republic of Ch ina, by NewsRx journalists, research stated, “This study proposed an auto-config urable machine learning framework based on the differential evolution algorithm (AutoML-DE) driven by hybrid data for the screening and discovery of promising C O2 to light olefins (CO2TLO) catalysts candidates. The hybrid dataset comprises 532 experimental data from the literature and 296 simulation data.”

    Findings on Robotics and Automation Reported by Investigators at KTH Royal Insti tute of Technology (Improving the Performance of Learned Controllers In Behavior Trees Using Value Function Estimates At Switching Boundaries)

    40-40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 - Robotics and Automation are presented in a new report. According to news reporting originatin g from Stockholm, Sweden, by NewsRx correspondents, research stated, “Behavior t rees offer a modular approach to developing an overall controller from a set of subcontrollers that solve different sub-problems. These sub-controllers can be created using various methods, such as classical model-based control or reinforc ement learning (RL).”

    Data on Machine Learning Described by Researchers at Department of Meteorology ( Do AI models produce better weather forecasts than physics-based models? A quant itative evaluation case study of Storm Ciaran)

    41-41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 reporting from the Department o f Meteorology by NewsRx journalists, research stated, “There has been huge recen t interest in the potential of making operational weather forecasts using machin e learning techniques.”

    Investigators at University of Johannesburg Detail Findings in Artificial Intell igence (The Potential of Stormwater Management Strategies and Artificial Intelli gence Modeling Tools To Improve Water Quality: a Review)

    42-42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 reporting originating in Johannesburg , South Africa, by NewsRx journalists, research stated, “Stormwater management m odeling tools have been utilized to enhance stormwater operating systems, assess modeling system efficiency, and evaluate the impacts of urban growth on stormwa ter runoff and water quality. This review explores the potential of stormwater m anagement strategies and Artificial Intelligence modeling tools in enhancing wat er quality.”

    Data from Guangdong University of Foreign Studies Advance Knowledge in Machine L earning (How Does the Economic Structure Break Change the Forecast Effect of Mon ey and Credit On Output? Evidence Based On Machine Learning Algorithms)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting from Guangzhou, People’s Republic of C hina, by NewsRx journalists, research stated, “This study examines quarterly dat a from China spanning 1993 to 2016, employing machine learning algorithms to inv estigate the predictive ability of money and credit on output amidst significant structural changes, including the 2007 Global Financial Crisis and shifts in fi nancial structure. The findings highlight that credit is a more effective predic tor of output than money, capable of forecasting both short and long-term output trends.”

    Study Findings on Machine Learning Published by Researchers at Flanders Marine I nstitute (Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings)

    44-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news originating from Ostend, Belgium, by NewsRx correspondents, research stated, “Studying marine soundscapes by detec ting known sound events and quantifying their spatio-temporal patterns can provi de ecologically relevant information. However, the exploration of underwater sou nd data to find and identify possible sound events of interest can be highly tim e-intensive for human analysts. To speed up this process, we propose a novel met hodology that first detects all the potentially relevant acoustic events and the n clusters them in an unsupervised way prior to manual revision.”

    Research Findings from North University of China Update Understanding of Robotics (Mine pipeline inspection robot design and traction performance analysis)

    45-45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 pr esented. According to news originating from Taiyuan, People’s Republic of China, by NewsRx editors, the research stated, “In response to the problem of gas extr action pipeline damage and leakage inspection, a spiral mine pipeline inspection robot with pipeline inspection and motion control functions is designed. The st ructure and inspection and control system scheme of the robot are introduced.”

    New Findings from Fuzhou University in the Area of Robotics Described (Ankle Joi nt Motion Recognition System And Algorithm Optimization Based on Plantar Pressure)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on robotics are presented in a new rep ort. According to news reporting out of Jinjiang City, People’s Republic of Chin a, by NewsRx editors, research stated, “Due to the current focus of research on ankle rehabilitation robots on structural design, there is still limited researc h on ankle human-machine interaction technology.”