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    Recent Findings in Machine Learning Described by Researchers from Nanjing Univer sity of Science and Technology (Cpu-gpu Cooperative Qos Optimization of Personal ized Digital Healthcare Using Machine Learning and Swarm Intelligence)

    77-78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 originating from Nanjing, People’s Repub lic of China, by NewsRx correspondents, research stated, “In recent decades, the rapid advances in information technology have promoted a widespread deployment of medical cyber-physical systems (MCPS), especially in the area of digital heal thcare. In digital healthcare, medical edge devices empowered by CPU-GPU (Graphi cs Processing Unit) cooperative multiprocessor system-on-chips (MPSoCs) have a g reat potential in processing and managing the massive amounts of health-related data.”

    New Robotics Study Findings Have Been Reported by Researchers at School of Healt h and Rehabilitation Sciences (Perceptions and Assessment of a Novel Robotic Whe elchair Transfer System)

    78-79页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting from Pittsburgh, Pennsylvania, by N ewsRx journalists, research stated, “Wheelchair transfers risk injury to users a nd caregivers. Conventional transfer devices are injury-prone and time inefficient.”

    New Machine Learning Study Findings Have Been Reported by Researchers at Northwe stern University (Deformable Capsules for Object Detection)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Chicago, Illinois, by NewsRx correspondents, research stated, “Capsule networks promise significant benefits over convolutional neural networks (CNN) by storing stronger internal r epresentations and routing information based on the agreement between intermedia te representations’ projections. Despite this, their success has been limited to small-scale classification datasets due to their computationally expensive nature.”

    Chongqing University Reports Findings in Machine Learning (Development and appli cation of an intelligent nitrogen removal diagnosis and optimization framework for WWTPs: Low-carbon and stable operation)

    80-81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 from Chongqing, P eople’s Republic of China, by NewsRx correspondents, research stated, “Optimizin g nitrogen removal is crucial for ensuring the efficient operation of wastewater treatment plants (WWTPs), but it is susceptible to variations in influent condi tions and operational parameter constraints, and conflicts with the energy-savin g and carbon emission reduction goals. To address these issues, this study propo ses a hybrid framework integrating process simulation, machine learning, and mul ti-objective genetic algorithms for nitrogen removal diagnosis and optimization, aiming to predict the total nitrogen in effluent, diagnose nitrogen over-limit risks, and optimize the control strategies.”

    Yantai University Reports Findings in Robotics (Tracking control via time-varyin g feedback for an uncertain robotic system with both output constraint and dead- zone input)

    81-82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 originating in Yantai, People’s Repub lic of China, by NewsRx journalists, research stated, “This paper is devoted to the tracking control for an uncertain robotic system with both output constraint and dead-zone input. Remarkably, the distinctive characters of the system are r eflected by system uncertainties and output constraint.”

    Reports on Machine Learning Findings from University of Glasgow Provide New Insi ghts (Corporate Cash Policy and Double Machine Learning)

    82-82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 Machine Learning are discussed in a new report. According to news reporting out of Glasgow, Unite d Kingdom, by NewsRx editors, research stated, “We are the first to explore the role of firm-level drivers in corporate cash policy applying cutting-edge double machine learning technique. We identify tangibility of assets and R& D spending as two main driving forces behind the cash increase when they are con sidered both independently and jointly.”

    Findings from Huazhong University of Science and Technology Yields New Data on M eniere’s Disease (Neuroimaging Insights: Structural Changes and Classification In Meniere’s Disease)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Otorhinolaryngologic Diseases an d Conditions - Meniere’s Disease have been presented. According to news reportin g out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “This study aimed to comprehensively investigate the neuroanatomical alterations associated with idiopathic M & eacute;ni & egrave;r e’s disease (MD) using voxel-based morphometry and surface-based morphometry tec hniques. The primary objective was to explore nuanced changes in gray matter vol ume, cortical thickness, fractal dimension, gyrification index, and sulcal depth in MD patients compared with healthy controls (HC).”

    London School of Hygiene and Tropical Medicine Reports Findings in Artificial In telligence (Integrating machine learning and artificial intelligence in life-cou rse epidemiology: pathways to innovative public health solutions)

    84-85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 Artificial Intelligenc e is the subject of a report. According to news reporting out of London, United Kingdom, by NewsRx editors, research stated, “The integration of machine learnin g (ML) and artificial intelligence (AI) techniques in life-course epidemiology o ffers remarkable opportunities to advance our understanding of the complex inter play between biological, social, and environmental factors that shape health tra jectories across the lifespan. This perspective summarizes the current applicati ons, discusses future potential and challenges, and provides recommendations for harnessing ML and AI technologies to develop innovative public health solutions .”

    Researcher from University of Otago Discusses Findings in Machine Learning (Non- linear machine learning coupled near infrared spectroscopy enhanced model perfor mance and insights for coffee origin traceability)

    85-85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 originating from Dune din, New Zealand, by NewsRx correspondents, research stated, “Over the past deca de, there has been overwhelming interest in rapid and routine origin tracing and authentication methods, such as near infrared (NIR) spectroscopy.”

    University of Melbourne Reports Findings in Artificial Intelligence (Use of Arti ficial Intelligence Improves Colonoscopy Performance in Adenoma Detection: A Sys tematic Review and Meta-Analysis)

    86-86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 Artificial Intelligenc e is the subject of a report. According to news reporting originating from Victo ria, Australia, by NewsRx correspondents, research stated, “Artificial intellige nce (AI) is increasingly used to improve adenoma detection during colonoscopy. T his metaanalysis aimed to provide an updated evaluation of computer-aided detec tion (CADe) systems and their impact on key colonoscopy quality indicators.”