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    Data on Machine Learning Discussed by Researchers at Norwegian University of Sci ence and Technology (NTNU) (Exploring the Impact of Thiol Collectors System On C opper Sulfide Flotation Through Machine Learning-driven Modeling)

    85-86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 Trondheim, Norway, by Ne wsRx correspondents, research stated, “Collector selection is acritical step in flotation, as it has a direct impact on product quality, flotation recovery, an d selectivity.Collectors can consist of different components, and their effecti veness can vary depending on the type ofore being processed.”

    Research Conducted at Xi’an Technological University Has Provided New Informatio n about Field Robotics (A Multiscale Feature Fusion-guided Lightweight Semantic Segmentation Network)

    86-87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 Ro botics - Field Robotics. According to newsoriginating from Xi’an, People’s Repu blic of China, by NewsRx correspondents, research stated, “Semanticsegmentation , a task of assigning class labels to each pixel in an image, has found applicat ions in variousreal-world scenarios, including autonomous driving and scene und erstanding. However, its widespread useis hindered by the high computational bu rden.”

    Data from Upper Austria University of Applied Sciences Advance Knowledge in Mach ine Learning (Dynamic Tactile Synthetic Tissue: From Soft Robotics To Hybrid Sur gical Simulators)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating from Linz , Austria, by NewsRx correspondents, research stated, “Surgicalsimulators are v aluable educational tools for physicians, enhancing their proficiency and improv ing patientsafety. However, they typically still suffer from a lack of realism as they do not emulate dynamic tissuebiomechanics haptically and fail to convin cingly mimic real-time physiological reactions.”

    Findings from KTH Royal Institute of Technology Yields New Data on Robotics and Automation (Characterizing Manipulation Robustness Through Energy Margin and Cag ing Analysis)

    88-89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 Robotics - Ro botics and Automation have been published.According to news reporting out of St ockholm, Sweden, by NewsRx editors, research stated, “To developrobust manipula tion policies, quantifying robustness is essential. Evaluating robustness in gen eral manipulation,nonetheless, poses significant challenges due to complex hybr id dynamics, combinatorial explosionof possible contact interactions, global ge ometry, etc.”

    Studies from Changsha University of Science and Technology Have Provided New Dat a on Machine Learning (Interpretable Capacity Prediction of Rc Bridges Based On Genetic Algorithm-enhanced Support Vector Machine Learning)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reportingoriginating from Changsha, People’s Re public of China, by NewsRx correspondents, research stated,“Existing reinforced concrete (RC) bridges are subjected to environmental erosion and vehicle loads. It isbecoming an urgent problem to evaluate the safety condition of bridge str uctures combining inspectiondata with artificial intelligence methods.”

    Studies from Donghua University Yield New Data on Robotics (Robust All-fabric E- skin With High-temperature and Corrosion Tolerance for Self-powered Tactile Sens ing)

    90-91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 Robotics have been published. According to news originatingfrom Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Electronic skins(e-skins) for monitoring human and robot activities under extreme circumstances are signi ficant for humanmachineinteraction in multiple scenarios, which is challenging to realize on fabric/textile materials. Herein,a core filling-encapsulation st rategy for multi-layer weaving is explored to achieve a triboelectric triple-layer sandwich woven e-skin (TSW e-skin) for durable self-powered sensing in extrem e environments.”

    Mayo Clinic Reports Findings in Machine Learning (Identification of eupneic brea thing using machine learning)

    91-92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 out of Rochester, Minnesota, by NewsRx editors, research stated, “The diaphragm muscle (DIAm)is the primary inspiratory muscle in mammals. In awake animals, considerable heterogeneity in t heelectromyographic (EMG) activity of the DIAm reflects varied ventilatory and nonventilatory behaviors.”

    Tongji University Reports Findings in Machine Learning (Utilizing machine learni ng to tailor radiotherapy and chemoradiotherapy for low-grade glioma patients)

    92-93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 Shanghai, Peop le’s Republic of China, by NewsRx journalists, research stated,“There is ongoin g uncertainty about the effectiveness of various adjuvant treatments for low-gra degliomas (LGGs). Machine learning (ML) models that predict individual treatmen t effects (ITE) andprovide treatment recommendations could help tailor treatmen ts to each patient’s needs.”

    New Machine Learning Study Results Reported from University of Technology (Multi peak Wavelength Detection of Spectrally Overlapped Fiber Bragg Grating Sensors T hrough a Cnn-based Autoencoder)

    93-94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 Valparaiso, Chile, by NewsRx journalists, research stated, “This article presents a machinelearning s olution to identify the peak wavelengths of fiber Bragg grating (FBG) sensors mu ltiplexed in anetwork with high spectral overlapping. Machine learning solution s generally require high-quality, extensivedatasets, which can be difficult to obtain.”

    Findings from Wroclaw University of Science & Technology in the Ar ea of Artificial Intelligence Reported (Artificial Intelligence-driven Performan ce Mapping: a Deep Learning-based Investigation of a Multi-vane Expander In Retr ofitted Organic …)

    94-95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 reportingfrom Wroclaw, Poland, by News Rx journalists, research stated, “This study delves into experimentalresearch o n a retrofitted organic Rankine cycle (ORC), focusing on the performance of the expansionprocess near saturated vapor states (from two-phase to superheated con ditions). A multi-vane expanderwas selected for its relevance in small-scale pa rtially evaporated ORC.”