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    New Artificial Intelligence Study Findings Recently Were Reported by Researchers at Tongji University (Using Artificial Intelligencebased Algorithms To Identif y Critical Fouling Factors and Predict Fouling Behavior In Anaerobic Membrane …)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Artificial Intelligence have bee n presented. According to news originating from Shanghai, People’s Republic of C hina, by NewsRx correspondents, research stated, “Membrane fouling is one of the major obstacles that hinder the widespread applications of anerobic membrane bi oreactors (AnMBRs) for wastewater treatment. Due to the intrinsic complexity of membrane fouling, identifying critical fouling factors and predicting fouling be havior are of great significance in membrane fouling control.”

    Researchers from QILU University of Technology Report Details of New Studies and Findings in the Area of Robotics (Optimized Leader-follower Consensus Control U sing Combination of Reinforcement Learning and Sliding Mode Mechanism for Multip le …)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting originating in Shandong, People’s Republic of Ch ina, by NewsRx journalists, research stated, “This article is to develop an opti mized leader-follower consensus control for multiple robot manipulator system by combining sliding mode control (SMC) and reinforcement learning (RL). The SMC m echanism aims to steer both position and velocity states of multiple manipulator reaching the predefined trajectory.”

    New Findings on Machine Learning from Sorbonne University Summarized (Applicatio n of Machine Learning To Enhance the Performance of a Two-stage, Two-temperature Ejector Cycle Driven By the Waste Heat of Exhaust Gas)

    58-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Paris, France, by NewsRx journalist s, research stated, “This article introduces an innovative two-stage, two-temper ature ejector cycle (NTDERC) capable of simultaneously generating cooling and el ectricity. It harnesses waste heat from exhaust gases and is purposefully design ed to operate with a neutral carbon footprint.”

    Opole University of Technology Researcher Reports on Findings in Machine Learnin g (Machine Learning Classification of Event-Related Brain Potentials during a Vi sual Go/NoGo Task)

    59-59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 artificial intelligen ce have been presented. According to news reporting out of Opole, Poland, by New sRx editors, research stated, “Machine learning (ML) methods are increasingly be ing applied to analyze biological signals. For example, ML methods have been suc cessfully applied to the human electroencephalogram (EEG) to classify neural sig nals as pathological or non-pathological and to predict working memory performan ce in healthy and psychiatric patients.”

    Study Findings from Newcastle University Provide New Insights into Artificial In telligence (Artificial Intelligence in nursing: trustworthy or reliable?)

    60-60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 reporting originating from Gosford , Australia, by NewsRx correspondents, research stated, “Trustworthiness in Arti ficial Intelligence (AI) innovation is a priority for governments, researchers a nd clinicians; however, clinicians have highlighted trust and confidence as barr iers to their acceptance of AI within a clinical application.”

    Ministry of Public Security Reports Findings in Machine Learning (Discrimination of opium from Afghanistan and Myanmar by infrared spectroscopy coupled with mac hine learning methods)

    61-61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 Learning is th e subject of a report. According to news originating from Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Afghanistan and Myanm ar are two overwhelming opium production places. In this study, rapid and effici ent methods for distinguishing opium from Afghanistan and Myanmar were developed using infrared spectroscopy (IR) coupled with multiple machine learning (ML) me thods for the first time.”

    Chinese Research Academy of Environmental Sciences Reports Findings in Machine L earning (Prediction of sulfate concentrations in groundwater in areas with compl ex hydrogeological conditions based on machine learning)

    62-62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 Learning is th e subject of a report. According to news reporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “The persistent a nd increasing levels of sulfate due to a variety of human activities over the la st decades present a widely concerning environmental issue. Understanding the co ntrolling factors of groundwater sulfate and predicting sulfate concentration is critical for governments or managers to provide information on groundwater prot ection.”

    Investigators at University of Waterloo Report Findings in Robotics (Cbcl-pr: a Cognitively Inspired Model for Class-incremental Learning In Robotics)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news originating from Waterloo, Canada, by NewsRx correspondent s, research stated, “For most real-world applications, robots need to adapt and learn continually with limited data in their environments. In this article, we c onsider the problem of few-shot incremental learning (FSIL), in which an AI agen t is required to learn incrementally from a few data samples without forgetting the data it has previously learned.”

    Studies from Lund University Have Provided New Data on Robotics (Simultaneous Sh ape and Topology Optimization of Inflatable Soft Robots)

    63-63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 Lund, Sweden, by NewsRx editor s, research stated, “Simultaneous shape and topology optimization is used to des ign pressure-activated inflatable soft robots. The pressure loaded boundary is m eshed conformingly and shape optimized, while the morphology of the robot is top ology optimized.”

    University of Sfax Researcher Yields New Findings on Robotics (Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method)

    64-65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 ro botics. According to news originating from the University of Sfax by NewsRx corr espondents, research stated, “The Mobile Robot Path Problem looks to find the op timal shortest path from the starting point to the target point with collision-f ree for a mobile robot.”