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    Researcher from Utah State University Details New Studies andFindings in the Ar ea of Machine Learning (Utilizing Hybrid MachineLearning Techniques and Gridded Precipitation Data for Advanced Discharge Simulation in Under-Monitored River B asins)

    77-78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 ar tificial intelligence. According to news reportingout of Logan, Utah, by NewsRx editors, research stated, “This study addresses the challenge of utilizinginco mplete long-term discharge data when using gridded precipitation datasets and da ta-driven modelingin Iran’s Karkheh basin.”

    Data on Machine Learning Discussed by Researchers at Wuhan University(How Good Are Machine Learning Clouds? Benchmarking Two Snapshots Over 5 Years)

    78-79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 Machine Learning is now available. According to news reportingoriginating in Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “We conductan empirical study of machine learning functionalities provided by major cloud service providers, which wecall machine learning clouds. Machine learning clouds hold the promise of hiding all the sophistication ofrunning large-scale machine learning: Instea d of specifying how to run a machine learning task, users onlyspecify what mach ine learning task to run and the cloud figures out the rest.”

    Studies from Beijing University of Technology in the Area of Machine Learning Re ported (Exploring the Ambient-temperature Degradation Reactions of Pet Through T wo-step Machine Learning and High-throughput Experimentation)

    79-80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 originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Poly(ethylene te rephthalate) (PET) is a prevalent single-use plastic, posing a significant threa t to theenvironment and human health due to its nondegradable properties. To co nfront this pressing issue, thereis an urgent need for a method of PET degradat ion that is not only efficient but also cost-effective.”Financial supporters for this research include National Key Research and Develop ment Program ofChina, National Key Research & Development Program of China.

    Findings in Machine Learning Reported from VSB-Technical Universityof Ostrava ( Real-time Prediction and Classification of ErosionCrater Characteristics In Pul sating Water Jet Machining of Different Materials With Machine Learning Models)

    80-81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 Learn ing have been published. According to newsoriginating from Ostrava, Czech Repub lic, by NewsRx correspondents, research stated, “Erosion caused bywater droplet s is constantly in flux for practical and fundamental reasons. Due to the high a ccumulationof knowledge in this area, it is already possible to predict erosion development in practical scenarios.”Financial support for this research came from Grantov Agentura Ccaron;esk Republ iky.

    Researchers’ Work from Indiana University-Purdue University Indianapolis Focuses on Artificial Intelligence (XAI-ADS: An Explainable Artificial Intelligence Fra mework for Enhancing Anomaly Detection in Autonomous Driving Systems)

    81-82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 artific ial intelligence. According to news originatingfrom Indianapolis, Indiana, by N ewsRx correspondents, research stated, “The advent of autonomousdriving systems has given rise to pressing cybersecurity issues regarding the vulnerability of vehicular adhoc networks (VANETs) to potential attacks. This critical security problem necessitates the application ofartificial intelligence (AI) models for anomaly detection in VANETs of autonomous vehicles (AVs).”

    New Findings from Indian Institute of Technology (IIT) Kharagpurin Machine Lear ning Provides New Insights (Machine Learning Guided Strategies To Develop High E fficiency Indoor Perovskite Solar Cells)

    82-83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 Learn ing have been published. According tonews originating from West Bengal, India, by NewsRx correspondents, research stated, “Indoor PerovskiteSolar Cells (IPSCs ) have recently gathered massive research attention, driven by their promising r olein powering the continuously expanding Internet of Things (IoT) devices and simultaneous advancementsin the Perovskite solar field. To further accelerate t he development of IPSCs, a machine learning (ML)approach to assist the advancem ent of IPSCs is proposed in the current study.”

    New Computational Intelligence Study Results Reported from South China Universit y of Technology (Unsupervised Feature Selection Via Collaborative Embedding Lear ning)

    83-84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 reporting originating from Guangdong, People’s Republic of China, by NewsRx correspondents,research s tated, “Unsupervised feature selection is vital in explanatory learning and rema ins challengingdue to the difficulty of formulating a learnable model. Recently , graph embedding learning has gainedwidespread popularity in unsupervised lear ning, which extracts low-dimensional representation based ongraph structure.”

    Children’s Hospital - Zhengzhou University Reports Findings inAtherosclerosis ( Online application for the diagnosis of atherosclerosis by six genes)

    84-85页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cardiovascular Disease s and Conditions - Atherosclerosis is thesubject of a report. According to news reporting from Henan, People’s Republic of China, by NewsRxjournalists, resear ch stated, “Atherosclerosis (AS) is a primary contributor to cardiovascular dise ase,leading to significant global mortality rates. Developing effective diagnos tic indicators and models forAS holds the potential to substantially reduce the fatalities and disabilities associated with cardiovasculardisease.”

    Studies from Queen’s University Further Understanding of Machine Learning (Cave Mine Pillar Stability Analysis Using Machine Learning)

    85-86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 reportingout of Kingston, Canada, by NewsRx e ditors, research stated, “The large scale of cave mines leads to manychallenges , including operational logistics and geomechanics design. In current practice, pillar stabilityassessment relies almost exclusively on stress analysis.”

    Northeastern University Reports Findings in Machine Learning (Metabolism-trigger ed sensor array aided by machine learning for rapid identification of pathogens)

    86-87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 originating in Shenyang, Peop le’s Republic of China, by NewsRx journalists, research stated,“Chemical-nose s trategy has achieved certain success in the discrimination and identification of pathogens.However, this strategy usually relies on non-specific interactions, which are prone to be significantly disturbedby the change of environment thus limiting its practical usefulness.”