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    Tiangong University Reports Findings in Machine Learning (Spectral fusion-based machine learning classifiers for discriminating membrane breakage in multiple sc enarios)

    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 from Tianjin, People’s Republ ic of China, by NewsRx journalists, research stated, “Membrane breakage can lead to filtration failure, which allows harmful substances to enter the effluent, p osing potential hazards to human health and the environment. This study is an in novative combination of fluorescence and ultraviolet-visible (UV-Vis) spectrosco py to identify membrane breakage.”

    New Robotics Research from Ben-Gurion University of the Negev Discussed (Robust point cloud registration for map-based autonomous robot navigation)

    71-71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 robotics have been published. According to news originating from Ben-Gurion University of the Negev by NewsRx correspondents, research stated, “Autonomous navigation in larg e-scale and complex environments in the absence of a GPS signal is a fundamental challenge encountered in a variety of applications.” Financial supporters for this research include Israel Innovation Authority.

    Researchers from Sun Yat-sen University Discuss Findings in Computational Intell igence (Hierarchical Relational Inference for Fewshot Learning In 3d Left Atria l Segmentation)

    72-72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 - Compu tational Intelligence are presented in a new report. According to news reporting from Guangdong, People’s Republic of China, by NewsRx journalists, research sta ted, “Three-dimensional left atrial (LA) segmentation from late gadolinium-enhan ced cardiac magnetic resonance (LGE CMR) images is of great significance in the prevention and treatment of atrial fibrillation. Despite deep learning-based app roaches have made significant progress in 3D LA segmentation, they usually requi re a large number of labeled images for training.”

    Study Findings on Machine Learning Reported by Researchers at Fudan University [Machine learning parameterization of the multiscale Kain-Fritsch (MSKF) convect ion scheme and stable simulation coupled in the Weather Research and Forecasting ...]

    73-73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 originating from Shan ghai, People’s Republic of China, by NewsRx correspondents, research stated, “Wa rm-sector heavy rainfall along the south China coast poses significant forecasti ng challenges due to its localized nature and prolonged duration. To improve the prediction of such high-impact weather events, high-resolution numerical weathe r prediction (NWP) models are increasingly used to more accurately represent top ographic effects.”

    Researcher at Yonsei University Releases New Study Findings on Robotics (Deliver ing the Future: Understanding User Perceptions of Delivery Robots)

    74-74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 robotic s. According to news originating from Seoul, South Korea, by NewsRx corresponden ts, research stated, “Delivery robots are increasingly becoming part of our urba n landscape.” The news journalists obtained a quote from the research from Yonsei University: “However, the general public is divided about their presence in public spaces; s ome welcome their usefulness, while others see them as intrusive or even threate ning. This study aims to understand users’ perceptions of these robots to provid e concrete insights into their further development. First, we used text mining t o analyze people’s reactions to popular YouTube videos featuring delivery robots . Based on these findings, we applied the scenario-based design method to develo p scenarios illustrating user interactions with delivery robots. We then conduct ed in-depth interviews with 30 participants to explore their views on these scen arios. Our analysis highlighted several design issues, including robots’ aesthet ics, interactions with pedestrians, and the broader physical and regulatory fram ework.”

    Researchers from Dubna State University Describe Research in Machine Learning (I T Modeling of Self-Organizing Intelligent Controllers Based on Quantum Deep Mach ine Learning)

    74-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news originating from Dubna State University by NewsRx editors, the research stated, “The physical interpretation of the process of con trolling self-organization at the quantum level is discussed on the basis of qua ntum information-thermodynamic models of exchange and extraction of quantum (hid den) valuable information from/between classical particle trajectories in the ‘s warm of interacting particles’ model. The main physical and information-thermody namic aspects of the model of quantum intelligent control of classical control o bjects are discussed and described.”

    Researcher at Zhejiang University of Water Resources and Electric Power Publishe s New Data on Machine Learning (Air Quality Class Prediction Using Machine Learn ing Methods Based on Monitoring Data and Secondary Modeling)

    76-76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 from Hangzhou, People ’s Republic of China, by NewsRx journalists, research stated, “Addressing the co nstraints inherent in traditional primary Air Quality Index (AQI) forecasting mo dels and the shortcomings in the exploitation of meteorological data, this resea rch introduces a novel air quality prediction methodology leveraging machine lea rning and the enhanced modeling of secondary data.”

    Research from Atma Jaya Catholic University of Indonesia in the Area of Machine Learning Described (Comparison of Predictive Modeling Concrete Compressive Stren gth with Machine Learning Approaches)

    77-77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 Atma Ja ya Catholic University of Indonesia by NewsRx correspondents, research stated, “ Accurately predicting concrete compressive strength is fundamental for optimizin g mix designs, ensuring structural integrity, and advancing sustainable construc tion practices. Increased demands for safer, more durable infrastructure necessi tate effective predictive concrete compressive strength models.”

    Naval Medical University Reports Findings in Post-Traumatic Stress Disorders (Th e application of machine learning techniques in posttraumatic stress disorder: a systematic review and meta-analysis)

    78-78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 Mental Health Diseases and Conditions - Post-Traumatic Stress Disorders is the subject of a report. Ac cording to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Posttraumatic stress disorder (PTSD ) recently becomes one of the most important mental health concerns. However, no previous study has comprehensively reviewed the application of big data and mac hine learning (ML) techniques in PTSD.”

    Friedrich-Schiller-University Jena Reports Findings in Machine Learning (Protoco l for creating representations of molecular structures using a polymer-specific decoder)

    78-79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 originating in Jena, Germany, by NewsRx journalists, research stated, “To supply chemical structures of polym ers for machine learning applications, decoding is necessary. Here, we present a protocol for generating polymer fingerprints (PFPs), which are representations of molecular structures, using a polymer-specific decoder.”