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    Findings from Xinjiang University Broaden Understanding of Robotics and Automati on (Stagp: Spatio-temporal Adaptive Graph Pooling Network for Pedestrian Traject ory Prediction)

    39-39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 Robotics - Robotics and Automation is now available. According tonews originating from Urumqi, People’ s Republic of China, by NewsRx correspondents, research stated,“Predicting how pedestrians will move in the future is crucial for robot navigation, autonomous driving,and video surveillance. The complex interactions among pedestrians make it difficult to predict their futuretrajectory.”

    Researcher at Dalian University of Technology Has Published New Study Findings o n Robotics (Error Analysis of Normal Surface Measurements Based on Multiple Lase r Displacement Sensors)

    40-41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 originating from Dalian, People’s Republic o f China, by NewsRx correspondents, research stated, “The robotic drillingof ass embly holes is a crucial process in aerospace manufacturing, in which measuring the normal of theworkpiece surface is a key step to guide the robot to the corr ect pose and guarantee the perpendicularityof the hole axis.”

    Findings on Machine Learning Discussed by Investigators at Clemson University (F eel the Force: From Local Surface Pressure Measurement To Flow Reconstruction In Fluid-structure Interaction)

    40-40页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromClemson, South Carolina, by NewsRx j ournalists, research stated, “Drawing inspiration from the laterallines of fish , the inference of flow characteristics via surface-based data has drawn conside rable attention.The current approaches often rely on analytical methods tailore d exclusively for potential flows or utilizeblack-box machine learning algorith ms to estimate a specific set of flow parameters.”

    Cleveland Clinic Foundation Reports Findings in Robotics (Methodology for Roboti c In Vitro Testing of the Knee)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingout of Cleveland, United States, by N ewsRx editors, research stated, “The knee joint plays a pivotal rolein mobility and stability during ambulatory and standing activities of daily living. Increa sed incidence ofknee joint pathologies and resulting surgeries has led to a gro wing need to understand the kinematics andkinetics of the knee.”

    Findings from KLE Technological University Provides New Data about Nanoparticles (Experimental Investigation and Machine Learning-based Prediction of Sthx Perfo rmance With Ethylene Glycol-water Blends and Graphene Nanoparticles)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Nanotechnology - Nanoparticles are presented in a new report. According tonews reporting originating from Karnatak a, India, by NewsRx correspondents, research stated, “Theinvestigation revolves around conducting experiments to examine the heat transport properties of an STHX while utilizing various combinations of ethylene glycol (EG) and deionized wa ter (DW) coolants,namely EG50:DW50, EG60:DW40, EG40:DW60, and EG40:DW60:NP10 (0 .1%). The experiments wereconducted with two different baffle angl es (10 degrees and 20 degrees) and a fixed flow rate of 18 LPM.”

    Studies from Ternopil Ivan Puluj National Technical University in the Area of Ar tificial Intelligence Published (Artificial Intelligence Based Emergency Identif ication Computer System)

    43-44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 originating from Tern opil, Ukraine, by NewsRx correspondents, research stated, “The use ofArtificial Intelligence is currently being observed in many areas of life. In addition to assisting in intellectualwork, solving complex computational problems, or analy zing various types of data, the aforementionedtechniques can also be applied in the process of providing security to people.”

    Lanzhou Jiaotong University Researcher Focuses on Machine Learning (Machine lear ning prediction of concrete frost resistance and optimization design of mix prop ortions)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Lanzhou, People’s Re public of China, by NewsRx editors, the research stated, “This study exploresni ne machine learning (ML) methods, including linear, non-linear and ensemble lear ning models, usingnine concrete parameters as characteristic variables.”

    Data on Neuralgia Reported by Olivier Celhay and Colleagues (Combined decompress ion of pudendal and inferior cluneal nerves for entrapment neuralgias using tran speritoneal robotic laparoscopy: feasibility and our 4 steps technique)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nervous System Disease s and Conditions - Neuralgia is the subjectof a report. According to news repor ting originating in Bordeaux, France, by NewsRx journalists, researchstated, “T o demonstrate the feasibility of a combined decompression of pudendal and inferi or clunealnerves for entrapment syndrome using a transperitoneal robotic laparo scopy. Demonstration of our 4 stepstechnique with narrated video footage.”

    Researchers at Beijing University of Posts and Telecommunications Release New Da ta on Machine Learning (A credibility-aware swarmfederated deep learning framew ork in internet of vehicles)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to news originatingfrom Beijing, People’s Rep ublic of China, by NewsRx correspondents, research stated, “AlthoughFederated D eep Learning (FDL) enables distributed machine learning in the Internet of Vehic les (IoV),it requires multiple clients to upload model parameters, thus still e xisting unavoidable communicationoverhead and data privacy risks.”

    Data on Machine Learning Described by Researchers at Harbin Institute of Technol ogy (Machine Learning Assisted Prediction In the Discharge Capacities of Novel M xene Cathodes for Aluminum Ion Batteries)

    47-48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 reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Conventionalexpe rimental methods are widely utilized to discover novel cathode materials for alu minum ionbatteries (AIB), but their high price and low-efficiency present extra challenges when dealing with the vastfamily of MXene materials. In order to vi gorously promote the application and development of MXenecathodes in aluminum i on batteries, a new accelerable method to predict the discharge capacities basedon machine learning is proposed.”