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    South China University of Technology Reports Findings in Machine Learning (Machi ne learning-guided multi-site combinatorial mutagenesis enhances the thermostabi lity of pectin lyase)

    58-58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 o f a report. According to news reportingfrom Guangzhou, People’s Republic of Chi na, by NewsRx journalists, research stated, “Enhancing thethermostability of en zymes is crucial for industrial applications. Methods such as directed evolution areoften limited by the huge sequence space and combinatorial explosion, makin g it difficult to obtain optimalmutants.”

    Reports from Los Alamos National Laboratory Advance Knowledge in Machine Learnin g (Machine learning based unfolding of x-ray spectra from filter stack spectrome ter data)

    59-59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 reportingoriginating from Los Alamos, New Mexico, by NewsRx correspondents, research stated, “We demonstratethe applicati on of neural networks to perform x-ray spectra unfolding from data collected by filter stackspectrometers.”

    New Findings in Robotics Described from Information Technologies Institute (Visi on Transformers in Optimization of AI-Based Early Detection of Botrytis cinerea)

    60-61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 robotic s. According to news originating from Thessaloniki,Greece, by NewsRx editors, t he research stated, “Detecting early plant diseases autonomously posesa signifi cant challenge for self-navigating robots and automated systems utilizing Artifi cial Intelligence(AI) imaging.”

    Computer Science Department Reports Findings in Artificial Intelligence (Automat ed system utilizing non-invasive technique mammograms for breast cancer detectio n)

    61-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating in Cairo, Egypt, by NewsRx journalists, research stated, “In order to increase the likelihood of obtaining treatment and achieving a complete recovery, early illness iden tification and diagnosisare crucial. Artificial intelligence is helpful with th is process by allowing us to rapidly start the necessaryprotocol for treatment in the early stages of disease development.”

    Tongji University Reports Findings in Machine Learning (Establishing reflex test rules for platelet fluorescent counting method using machine learning models on Sysmex XN-series hematology analyzer)

    62-63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 th e subject of a report. According to newsreporting from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “The plateletfluorescent counting (PLT-F) method is utilized as a reflex test method following the initia l test of theplatelet impedance counting (PLT-I) method in clinical practice on the Sysmex XN-series automatedhematology analyzer. Our aim is to establish ref lex test rules for the PLT-F method by combining multipleparameters provided by the ‘CBC + DIFF’ mode of the Sysmex XN-series automated hematology analyzer.”

    University of Tunis Researchers Describe Advances in Artificial Intelligence (En hanced fingerprint classification through modified PCA with SVD and invariant mo ments)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting from Tunis, Tu nisia, by NewsRx journalists, research stated, “This research introducesa novel MOMENTS-SVD vector for fingerprint identification, combining invariant moments and SVD(Singular Value Decomposition), enhanced by a modified PCA (Principal Co mponent Analysis).”

    University of Leuven (KU Leuven) Reports Findings in Machine Learning (Automated remote sleep monitoring needs uncertainty quantification)

    63-64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 th e subject of a report. According to news reportingoriginating from Leuven, Belg ium, by NewsRx correspondents, research stated, “Wearable electroencephalographydevices emerge as a cost-effective and ergonomic alternative to gold-standard p olysomnography,paving the way for better health monitoring and sleep disorder s creening. Machine learning allowsto automate sleep stage classification, but tr ust and reliability issues have hampered its adoption in clinicalapplications.”

    Researcher at Shenyang University of Technology Releases New Study Findings on S upport Vector Machines (A novel combination prediction model of ultra-short-term wind speed)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in . According to news reporting out of Shenyang, People’sRepublic of China, by NewsRx editor s, research stated, “The accurate prediction of ultra-short-term windspeed has important theoretical significance and practical application value.”

    Amrita Vishwa Vidyapeetham Researchers Add New Data to Research in Artificial In telligence (Seasonal solar irradiance forecasting using artificial intelligence techniques with uncertainty analysis)

    65-66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 artificial in telligence have been published. According tonews originating from the Amrita Vi shwa Vidyapeetham by NewsRx correspondents, research stated,“Renewable integrat ion in utility grid is crucial in the current energy scenario. Optimized utiliza tion ofrenewable energy can minimize the energy consumption from the grid.”

    Researchers from Simon Fraser University Report Recent Findings in Machine Learn ing (Machine Learning Classification of Air Quality Monitoring Stations To Achie ve Ambient No2 Objectives Using Emission Scenarios and Chemical Transport …)

    66-67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 reporting outof Surrey, Canada, by NewsRx edi tors, research stated, “Exceeding the latest Canadian Ambient Air QualityStanda rds (CAAQS) for NO2 concentration in Canadian cities motivates discussions on ne w policies anddirectives. Advanced air quality modeling and machine learning cl ustering algorithms integrating theWeather Research Forecast (WRF) and Communit y Multiscale Air Quality (CMAQ) models were used toclassify air quality monitor ing (AQM) stations based on pollution concentration modeling results.”