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    Reports from Ludwig-Maximilians-University Munich Advance Knowledge in Machine L earning (Using Machine Learning for Continuous Updating of Meta-analysis In Educ ational Context)

    21-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news originating from Munich, Germany, by NewsR x correspondents, research stated, “Machine learning and learning analytics are powerful tools that not only support researchers in the detailed measurement and enhancement of learning processes in various learning environments, but also en able the aggregation and synthesis of evidence regarding effective educational p ractices. This paper describes the development and application of machine learni ng algorithms aimed at semi -automatic selection of abstracts for a meta -analys is on the effects of simulation -based learning in higher education.”

    Researchers from Wuhan University Report on Findings in Machine Learning (Pipeli ne Damage Identification In Nuclear Industry Using a Particle Swarm Optimization -enhanced Machine Learning Approach)

    22-22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 from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “The safety of nuclear industry pipeline s is of paramount importance due to their vulnerability to damage from a variety of environmental factors. Ultrasonic guided wave inspection technology presents advantages such as high efficiency, low cost, and convenience, making it a wide ly adopted method for detecting damage in pipelines.”

    New Androids Study Findings Have Been Reported by Investigators at Technical Uni versity Darmstadt (TU Darmstadt) (Moveint: Mixture of Variational Experts for Le arning Human-robot Interactions From Demonstrations)

    23-23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 - Androids. According to news reporting originating from Darmstadt, Germa ny, by NewsRx correspondents, research stated, “Shared dynamics models are impor tant for capturing the complexity and variability inherent in Human-Robot Intera ction (HRI). Therefore, learning such shared dynamics models can enhance coordin ation and adaptability to enable successful reactive interactions with a human p artner.” Financial support for this research came from German Research Foundation (DFG).

    Studies from Northeastern University Describe New Findings in Machine Learning ( Vacuum Pressure Swing Adsorption Intensification By Machine Learning: Hydrogen P roduction From Coke Oven Gas)

    24-24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 - Androids. According to news reporting originating from Darmstadt, Germa ny, by NewsRx correspondents, research stated, “Shared dynamics models are impor tant for capturing the complexity and variability inherent in Human-Robot Intera ction (HRI). Therefore, learning such shared dynamics models can enhance coordin ation and adaptability to enable successful reactive interactions with a human p artner.” Financial support for this research came from German Research Foundation (DFG).2024 JUL 02 (NewsRx) – 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 reporting originating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “Hydrogen is a vital resource in the fight against climate change, and it has the potenti al to revolutionize the energy sector. Our research focused on optimizing the pr oduction of high -purity hydrogen using coke oven gas (COG), a valuable hydrogen source in the steel industry.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Shenyang, Guangdong Basic and Applied Basic Research Foundation, Ministry of Education, China - 111 Project.

    New Data from Zhejiang Agriculture & Forestry University Illuminat e Findings in Imaging Technology (Quality Detection and Variety Classification o f Pecan Seeds Using Hyperspectral Imaging Technology Combined With Machine Learn ing)

    25-26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 Technology - Imaging Technology have been published. According to news reporting originating in Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Pecan (Carya illinoinensis K.), a well-known dried seed and woody oil tree, fa ces challenges in its industry due to complex quality assessment methods and con fusing varieties. These challenges have seriously hampered the development of a large-scale pecan deep processing industry.”

    Findings from University of Cassino and Southern Lazio Provide New Insights into Artificial Intelligence (Measurement and Applications: Artificial Intelligence In the Field of Measurement Applications)

    26-26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 Artificial Intell igence are discussed in a new report. According to news originating from Cassino , Italy, by NewsRx correspondents, research stated, “In recent years, advances r elated to Artificial Intelligence (AI) have had a major impact on the scientific world.” Our news journalists obtained a quote from the research from the University of C assino and Southern Lazio, “These methods are even more permeating various techn ical fields such as technology, medicine, science and sociology. Currently, appl ied AI involves the use of AI-based methods as tools to refine or optimize syste ms within specific domains.”

    University of California Reports Findings in Machine Learning (Forecasting of co mpound ocean-fluvial floods using machine learning)

    26-27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 originating from Irvine, California, by NewsRx correspondents, research stated, “Flood modelling and forecasting can en hance our understanding of flood mechanisms and facilitate effective management of flood risk. Conventional flood hazard and risk assessments usually consider o ne driver at a time, whether it is ocean, fluvial or pluvial, without considerin g the compound nature of flood events.”

    Pontificia Universidad Catolica del Peru Reports Findings in Artificial Intellig ence (The use of artificial intelligence algorithms to detect macroplastics in a quatic environments: A critical review)

    28-28页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting originating in Lima, Peru, by New sRx journalists, research stated, “The presence of macroplastics (MPs) is having serious consequences on natural ecosystems, directly affecting biota and human wellbeing. Given this scenario, estimating MPs’ abundance is crucial for assessi ng the issue and formulating effective waste management strategies.”

    Studies from Shenyang Jianzhu University in the Area of Machine Learning Describ ed (Prediction of Non-uniform Shrinkage of Steelconcrete Composite Slabs Based On Explainable Ensemble Machine Learning Model)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Shenyang, People’s Republic of China , by NewsRx journalists, research stated, “The non-uniform shrinkage (NUS) of st eel-concrete composite slabs has been proved to significantly affect the long-te rm performance of composite slabs. But the reliable analysis method has not yet been proposed due to the multi-factor coupling mechanism of material composition and boundary conditions.”

    Findings from Northwest A&F University Provide New Insights into Ro botics (Method for the Real-time Detection of Tomato Ripeness Using a Phenotype Robot and Rp-yolactedge)

    30-30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 from Shaanxi, People’s Republic of Ch ina, by NewsRx journalists, research stated, “In order to address the challenge of non-destructive detection of tomato fruit ripeness in controlled environments , this study proposed a real-time instance segmentation method based on the edge device. This method combined the principles of phenotype robots and machine vis ion based on deep learning.” Financial supporters for this research include National Key RD Program, Beijing Municipal Science & Technology Commission, Collaborative Innovatio n Center of Beijing Academy of Agricultural and Forestry Sciences.