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    Study Findings on Machine Learning Discussed by a Researcher at University of Sz eged (Prediction of Inland Excess Water Inundations Using Machine Learning Algor ithms)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Szeged, Hungary, by NewsRx c orrespondents, research stated, “Regularly, large parts of the agricultural area s of the Great Hungarian Plain are inundated due to excessive rainfall and insuf ficient evaporation and infiltration.”

    University of Alberta Researchers Yield New Data on Machine Learning (Advancemen ts in Machine Learning for Optimal Performance in Flotation Processes: A Review)

    65-65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 out of Edmonton, Cana da, by NewsRx editors, research stated, “Flotation stands out as a successful an d extensively employed method for separating valuable mineral particles from was te rock.” Funders for this research include Natural Sciences And Engineering Research Coun cil of Canada.

    Reports Outline Machine Learning Study Results from CQUniversity (Battery Health Estimation Based On Multidomain Transfer Learning)

    66-67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 Machine Learning are pre sented in a new report. According to news reporting from Melbourne, Australia, b y NewsRx journalists, research stated, “Machine learning methods are expected to play a significant role in battery state of charge (SOH) estimation, leveraging their strengths in self-learning and nonlinear fitting. One of the key challeng es in SOH estimation is the concept drift issue, which refers to changes in the data distribution between the training and test datasets.”

    Researcher from Hunan University of Science and Engineering Provides Details of New Studies and Findings in the Area of Machine Learning (Optimizing Metro Passe nger Flow Prediction: Integrating Machine Learning and Time-Series Analysis with ...)

    67-68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 ar tificial intelligence. According to news reporting out of Hunan, People’s Republ ic of China, by NewsRx editors, research stated, “Accurate passenger flow foreca sting is crucial in urban areas with growing transit demand.” Funders for this research include Natural Science Foundation of Hunan Province.

    Investigators at Shanghai Jiao Tong University Detail Findings in Robotics (A Mu lti-modal Tailless Flapping-wing Robot Capable of Flying, Crawling, Self-rightin g and Horizontal Take-off)

    68-69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 reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Multi-modal flapping robots demonstrate po tential capabilities to accomplish assigned missions in confined indoor and outd oor environments. In this letter, inspired by the multimodal movement of insects , we report a multimodal tailless flapping wing robot capable of flying, crawlin g, self-righting and horizontal take-off.”

    New Artificial Intelligence Findings from Weill Cornell Medical College Outlined (An Introduction To Machine Learning and Generative Artificial Intelligence for Otolaryngologists-head and Neck Surgeons: a Narrative Review)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Artificial Intelligence have been published. According to news reporting out of New York City, New York, by NewsRx editors, research stated, “PurposeDespite the robust expansion of res earch surrounding artificial intelligence (AI) and machine learning (ML) and the ir applications to medicine, these methodologies often remain opaque and inacces sible to many otolaryngologists. Especially, with the increasing ubiquity of lar ge-language models (LLMs), such as ChatGPT and their potential implementation in clinical practice, clinicians may benefit from a baseline understanding of some aspects of AI.”

    Findings from Northeastern University Update Understanding of Machine Learning ( Machine Learning Accelerated Discovery of Corrosion-resistant High-entropy Alloys)

    70-71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 out of Portland, Maine, by Ne wsRx editors, research stated, “Corrosion has a wide impact on society, causing catastrophic damage to structurally engineered components. An emerging class of corrosion -resistant materials are high -entropy alloys.”

    Findings in the Area of Machine Learning Reported from China Three Gorges Univer sity (Machine Learning As a Characterization Method for Analysis and Design of P erovskite Solar Cells)

    71-72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 Yichang, People’s Re public of China, by NewsRx correspondents, research stated, “Devicelevel charac terization is the primary means of testing the performance of a device and ident ifying the microscale factors that affect its performance. With the accumulation of data on perovskite solar cells (PSCs), machine learning (ML) may become a po tential tool for characterizing properties of PSCs.”

    Researcher at SRM Institute of Science and Technology Has Published New Study Fi ndings on Machine Learning (Advancing emotion recognition via EEG signals using a deep learning approach with ensemble model)

    72-73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 ar tificial intelligence. According to news reporting out of Tamil Nadu, India, by NewsRx editors, research stated, “Human emotions are the mind’s responses to ext ernal stimuli, and due to their dynamic and unpredictable nature, research in th is field has become increasingly important.”

    Researchers at China University of Mining and Technology Beijing Target Intellig ent Systems (A Low-light Image Enhancement Method for Personnel Safety Monitorin g In Underground Coal Mines)

    73-74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 Machine Learning - Intelligent Systems. According to news reporting from Beijing , People’s Republic of China, by NewsRx journalists, research stated, “Intellige nt monitoring technology plays an important role in promoting the development of coal mine safety management. Low illumination in the coal mine underground lead s to difficult recognition of monitoring images and poor personnel detection acc uracy.”