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    Researchers from Shanghai University of Electric Power Report Details of New Studies and Findings in the Area of Machine Learning (Online Temperature Drift Compensation of Fabry-perot Filter Based On Machine Learning and Linear Fitting)

    57-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “The measurementaccuracy of fiber Bragg grating (FBG) sensors is significantly impacted by the temperature driftof Fabry-Perot (F-P) filters. The current hardware-based compensating techniques are complicated andexpensive.”

    Studies from University of Johannesburg Reveal New Findings on Artificial Intelligence (Implementing artificial intelligence in South African public hospitals: A conceptual framework)

    58-58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 artificial intelligence is now available. According to news reportingout of the University of Johannesburg by NewsRx editors, research stated, “Artificial intelligence (AI) isstimulating the generation of knowledge and innovations in healthcare by making machines smart throughalgorithms to nurture learning and improve resilience in global health systems. Despite these potentialbenefits, operations managers in a South African public hospital continue to favour manual systems overexisting AI technologies within their units.”

    National Institute of Chemistry Reports Findings in Machine Learning (Developing an Implicit Solvation Machine Learning Model for Molecular Simulations of Ionic Media)

    59-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news originatingfrom Ljubljana, Slovenia, by NewsRx correspondents, research stated, “Molecular dynamics (MD)simulations of biophysical systems require accurate modeling of their native environment, i.e., aqueousionic solution, as it critically impacts the structure and function of biomolecules. On the other hand, themodels should be computationally efficient to enable simulations of large spatiotemporal scales.”

    Heilongjiang University of Chinese Medicine Reports Findings in Personalized Medicine (WGCNA combined with machine learning to find potential biomarkers of liver cancer)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject ofa report. According to news reporting out of Harbin, People’s Republic of China, by NewsRx editors,research stated, “The incidence of hepatocellular carcinoma (HCC) has been increasing in recent years.With the development of various detection technologies, machine learning is an effective method to screendisease characteristic genes.”

    Shanghai Jiao Tong University Reports Findings in Non-Small Cell Lung Cancer (Particle filter-based parameter estimation algorithm for prognostic risk assessment of progression in non-small cell lung cancer)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Oncology - Non-Small Cell Lung Cancer is the subject of a report. According tonews originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated,“Non-small cell lung cancer (NSCLC) is a malignant tumor that threatens human life and health. Thedevelopment of a new NSCLC risk assessment model based on electronic medical records has great potentialfor reducing the risk of cancer recurrence.”

    New Findings on Robotics from University of Campinas Summarized (Piagetian Experiments To Devrobotics)

    62-62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 subject of a report. According to news reportingoriginating from Campinas, Brazil, by NewsRx correspondents, research stated, “Integrating robots intoour daily lives, once a distant dream, is gradually becoming a reality, surpassing our initial expectations.Today, we aspire for these robots to not only perform rudimentary tasks but to emulate human behavior,and in some aspects, even exceed it.”

    Findings from Southeast University Update Understanding of Robotics (Bridging Human-robot Co-adaptation Via Biofeedback for Continuous Myoelectric Control)

    63-63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 Robotics. According to news originating fromJiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “This letter proposes anovel human-robot co-adaptation framework for robust and accurate user intent recognition, specifically inthe context of automatic control in assistance robots such as neural prosthetics and rehabilitation devicesempowered by electrophysiological signals. Our goal is to incorporate user adaptability early in the trainingphase to facilitate both machine recognition and user adaptability, rather than relying solely on brute-forcemachine learning methods.”

    Reports from Hangzhou Normal University Describe Recent Advances in Intelligent Systems (A Sequential Quadratic Programming Based Strategy for Particle Swarm Optimization On Single-objective Numerical Optimization)

    64-64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 Learning - Intelligent Systems have been published.According to news originating from Hangzhou, People’s Republic of China, by NewsRx correspondents,research stated, “Over the last decade, particle swarm optimization has become increasingly sophisticatedbecause well-balanced exploration and exploitation mechanisms have been proposed. The sequentialquadratic programming method, which is widely used for real-parameter optimization problems, demonstratesits outstanding local search capability.”

    Findings from University of Texas San Antonio in Computational Intelligence Reported (Reservoir Network With Structural Plasticity for Human Activity Recognition)

    65-66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 - Computational Intelligence. Accordingto news originating from San Antonio, Texas, by NewsRx correspondents, research stated, “Theunprecedented dissemination of edge devices is accompanied by a growing demand for neuromorphic chips that can process time-series data natively without cloud support. Echo state network (ESN) is a classof recurrent neural networks that can be used to identify unique patterns in time-series data and predictfuture events.”

    Jilin University Reports Findings in Machine Learning (Factorization in molecular modeling and belief propagation algorithms)

    65-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject of a report. According to news reporting fromChangchun, People’s Republic of China, by NewsRx journalists, research stated, “Factorization reducescomputational complexity, and is therefore an important tool in statistical machine learning of high dimensionalsystems. Conventional molecular modeling, including molecular dynamics and Monte Carlosimulations of molecular systems, is a large research field based on approximate factorization of molecularinteractions.”