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    New Findings from Jadavpur University Update Understanding of Machine Learning ( Statistical Machine Learning Techniques Applied To Nir Spectral Data for Rapid D etection of Sudan Dye-i In Turmeric Powders With Optimized Pre-processing and .. .)

    10-11页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Kolkata, India, b y NewsRx correspondents, research stated, “Machine learning techniqueswere appl ied systematically to the spectral data of near-infrared (NIR) spectroscopy to f ind out the sudandye I adulterants in turmeric powders. Turmeric powder is one of the most commonly used spice and asimple target for adulteration.”

    First Affiliated Hospital of Wenzhou Medical University Reports Findings in Supp ort Vector Machines (Optimizing prediction accuracy for early recurrent lumbar d isc herniation with a directional mutation-guided SVM model)

    11-12页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews reporting originating in Zhejian g, People’s Republic of China, by NewsRx journalists, research stated,“Percutan eous endoscopic lumbar discectomy (PELD) is one of the main means of minimally i nvasivespinal surgery, and is an effective means of treating lumbar disc hernia tion, but its early recurrence is stilldifficult to predict. With the developme nt of machine learning technology, the auxiliary model based onthe prediction o f early recurrent lumbar disc herniation (rLDH) and the identification of causat ive riskfactors have become urgent problems in current research.”

    Findings on Artificial Intelligence Detailed by Investigators at Wuhan Universit y (Parallel System Based Quantitative Assessment and Self-evolution for Artifici al Intelligence of Active Power Corrective Control)

    12-13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 newsoriginating from Hubei, People’s Republic of China, by NewsRx correspondents, research stated, “In artificialin telligence (AI) based-complex power system management and control technology, on e of the urgenttasks is to evaluate AI intelligence and invent a way of autonom ous intelligence evolution. However, thereis, currently, nearly no standard tec hnical framework for objective and quantitative intelligence evaluation.”

    Researchers from University of Sussex Report New Studies and Findings in the Are a of Machine Learning (Schumacher In the Age of Generative Ai: Towards a New Cri tique of Technology)

    13-14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 newsreporting from Brighton, United Kingd om, by NewsRx journalists, research stated, “This article sets outto bring E. F . Schumacher’s social theory of technology into dialogue with recent advances in the field ofgenerative artificial intelligence (AI).”

    Researchers’ Work from National Institute of Technology Focuses on Machine Learn ing (Machine Learning-enhanced Monte Carlo and Subset Simulations for Advanced R isk Assessment In Transportation Infrastructure)

    14-14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. According to news reporting originatingfrom Patna, India, by NewsRx correspondents, research stated, “The maintenance of safety anddependability in rail and road embankments is of utmost importance in order to facilitate the sm oothoperation of transportation networks. This study introduces a comprehensive methodology for soil slopestability evaluation, employing Monte Carlo Simulati on (MCS) and Subset Simulation (SS) with the ‘UPSS3.0 Add-in’ in MS-Excel.”

    Findings from American Museum of Natural History Provides New Data about Machine Learning (Multi-armed Bandits, Thomson Sampling and Unsupervised Machine Learni ng In Phylogenetic Graph Search)

    15-15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 reporting originating from New York C ity, New York, by NewsRx editors, the research stated, “Aphylogenetic graph sea rch relies on a large number of highly parameterized search procedures (e.g. bra nchswapping,perturbation, simulated annealing, genetic algorithm). These proce dures vary in effectivenessover datasets and at alternative points in analytica l pipelines.”

    Studies from University of British Columbia Yield New Data on Machine Learning [Peak and Ultimate Stress-strain Model of Confined Ultra-high-performance Concret e (Uhpc) Using Hybrid Machine Learning Model With Conditional Tabular Generative …]

    16-16页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Kelowna, Canada, by NewsRx editors, research stated, “Ultra-high-performance concrete (UHPC)has gained pro minence owing to its exceptional physical and mechanical properties, along with enhancedsustainability, making it ideal for large-scale structural applications . While numerous analytical studieshave focused on predicting the stress-strain response of unconfined UHPC, there remains a lack of areliable model for predi cting the stress-strain response of confined UHPC, which poses challenges to efficient design and broader adoption, particularly in seismically active regions.”

    Huazhong Agricultural University Reports Findings in Artificial Intelligence [Multilayered Fe3O4@(ZIF-8)3 combined with a computervision- enhanced immunosenso r for chloramphenicol enrichment and detection]

    17-17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 out of Hubei, People’s Republic of China, by NewsRx editors, research stated, “The misuseand overuse of chloramphenicol poses severe threats to food safety and human health. In this work, wedeveloped a magnetic solid-phase extraction (MSPE) pretreatment materi al coated with a multilayeredmetal-organic framework (MOF), FeO @ (ZIF-8), for the separation and enrichment of chloramphenicolfrom fish.”

    Misericordia Hospital Reports Findings in Neoplasms (Robotic Ultrasound-Guided C entral Pancreatectomy with Main Pancreatic Duct Endoscopy Evaluation for High-Ri sk, Mixed-Type Intraductal Papillary Mucinous Neoplasm)

    18-18页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Neoplasms is the subje ct of a report. According to news reportingoriginating in Grosseto, Italy, by N ewsRx journalists, research stated, “Central pancreatectomy (CP) is aparenchyma l-sparing technique indicated for the resection of selected lesions of the neck or proximal bodyof the pancreas. The risk of postoperative complications is the oretically doubled because the surgeon hasto manage two cut surfaces of the pan creas.”

    Findings from Jiangsu University Yields New Findings on Machine Learning (Micros copic Mechanisms of Self-healing In Polymers Revealed By Molecular Simulations a nd Machine Learning)

    19-19页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Zhenjiang, People’s R epublic of China, by NewsRx editors, research stated, “At present,there is stil l a lack of in-depth research into the relationship between structural changes d uring the healingprocess and self-healing efficiency of self-healing polymers. In the current work, molecular dynamics (MD)simulations and machine learning me thods were applied to investigate the microscopic mechanisms ofself-healing in polymers.”