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    Beijing University of Chemical Technology Reports Findings in Machine Learning ( Identifying Driving Factors of Atmospheric N2O5 with Machine Learning)

    130-131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 out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “Dinitrogen pentoxide (NO) pl ays an essential role in tropospheric chemistry, serving as a nocturnal reservoi r of reactive nitrogen and significantly promoting nitrate formations. However, identifying key environmental drivers of NO formation remains challenging using traditional statistical methods, impeding effective emission control measures to mitigate NO-induced air pollution.”

    Data from Karlsruhe Institute of Technology (KIT) Advance Knowledge in Machine L earning (Machine Learning Assisted Discovery of Effective Viscous Material Laws for Shear-thinning Fiber Suspensions)

    131-132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 originating in Karlsruhe, Germany, by Ne wsRx journalists, research stated, “In this article, we combine a Fast Fourier T ransform based computational approach and a supervised machine learning strategy to discover models for the anisotropic effective viscosity of shear-thinning fi ber suspensions. Using the Fast Fourier Transform based computational approach, we study the effects of the fiber orientation state and the imposed macroscopic shear rate tensor on the effective viscosity for a broad range of shear rates of engineering process interest.”

    New Robotics and Automation Study Results from Johns Hopkins University Describe d (Investigating Haptic Feedback In Visiondeficient Millirobot Telemanipulation )

    132-132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 - Ro botics and Automation have been published. According to news reporting originati ng from Baltimore, Maryland, by NewsRx correspondents, research stated, “The evo lution of magnetically actuated millirobots gives rise to unique teleoperation c hallenges due to their non-traditional kinematic and dynamic architectures, as w ell as their frequent use of suboptimal imaging modalities. Recent investigation s into haptic interfaces for millirobots have shown promise but lack the clinica lly motivated task scenarios necessary to justify future development.”

    Utrecht University Reports Findings in Artificial Intelligence (Artificial intel ligence-driven assessment of salt caverns for underground hydrogen storage in Po land)

    133-133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 Artificial Intelligenc e is the subject of a report. According to news originating from Utrecht, Nether lands, by NewsRx correspondents, research stated, “This study explores the feasi bility of utilizing bedded salt deposits as sites for underground hydrogen stora ge. We introduce an innovative artificial intelligence framework that applies mu lti-criteria decision-making and spatial data analysis to identify the most suit able locations for storing hydrogen in salt caverns.”

    New Machine Learning Research from Universite Savoie Mont Blanc Discussed (Wind turbine fault detection and identification using a two-tier machine learning fra mework)

    134-134页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from the Univer site Savoie Mont Blanc by NewsRx correspondents, research stated, “A proactive a pproach is essential to optimize wind turbine maintenance and minimize downtime. By utilizing advanced data analysis techniques on the existing Supervisory Cont rol and Data Acquisition (SCADA) system data, valuable insights can be gained in to wind turbine performance without incurring high costs.”

    New Artificial Intelligence Findings from University of Tennessee Outlined (Unde rstanding Ai Innovation Contexts: a Review and Content Analysis of Artificial In telligence and Entrepreneurial Ecosystems Research)

    135-135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 reporting out of Chattan ooga, Tennessee, by NewsRx editors, research stated, “An emerging research strea m focuses on the place-based ecosystems where artificial intelligence (AI) innov ations emerge and develop. This literature builds on the contextual turn in mana gement research and, specifically, work on entrepreneurial ecosystems.”

    Tianjin Medical University General Hospital Reports Findings in Hallux Valgus (D eveloping Machine Learning-Based Predictive Models for Hallux Valgus Recurrence Based on Measurements From Radiographs)

    136-137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 Musculoskeletal Diseas es and Conditions - Hallux Valgus is the subject of a report. According to news originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Machine learning (ML) is increasingly used to predict the prog nosis of numerous diseases. This retrospective analysis aimed to develop a predi ction model using ML algorithms and to identify predictors associated with the r ecurrence of hallux valgus (HV) following surgery.”

    Huazhong University of Science and Technology Reports Findings in Robotics (An O ctopus-Inspired Stimulus-Responsive Structural Color Hydrogel for Uterus Cervica l Canal Stent)

    137-138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 originating from Wuhan, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Soft-bodied aquatic organisms h ave exhibited remarkable capabilities in navigating and moving within liquid env ironments serving as a profound inspiration for the development of bionic robots with intricate movements. Traditional rigid components are being replaced by st imulus-responsive soft materials such as hydrogels and shape memory polymers, le ading to the creation of dynamically responsive soft robots.”

    New Machine Learning Study Findings Reported from Chinese Academy of Sciences (S urface Soil Moisture From Combined Active and Passive Microwave Observations: In tegrating Ascat and Smap Observations Based On Machine Learning Approaches)

    138-139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 originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “The fusion of active and pas sive microwave measurements is expected to provide more robust surface soil mois ture (SSM) mapping across various environmental conditions compared to the use o f a single sensor. Thus, the integration of the newest L-band passive (i.e., Soi l Moisture Active Passive, SMAP) and the active (i.e., the Advanced Scatteromete r, ASCAT) observations provides an opportunity for SSM mapping with improved acc uracy.”

    Studies from Wenzhou University Reveal New Findings on Machine Learning (Multi-s trategy Grey Wolf Optimizer for Engineering Problems and Sewage Treatment Predic tion)

    139-140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 reporting out of Wenzhou, People’s Republi c of China, by NewsRx editors, research stated, “Grey wolf optimizer (GWO) is a highly valued heuristic algorithm in many fields. However, for some complex prob lems, especially high-dimensional and multimodal problems, the basic algorithm h as limited computational power and cannot get a satisfactory answer.” Funders for this research include Biotechnology and Biological Sciences Research Council (BBSRC), National Office of Philosophy and Social Sciences, Natural Sci ence Foundation of Zhejiang Province, National Natural Science Foundation of Chi na (NSFC), Medical Research Council UK (MRC), Royal Society, British Heart Found ation, Hope Foundation for Cancer Research, UK Research & Innovati on (UKRI), Sino-UK Industrial Fund, LIAS, Data Science Enhancement Fund, Fight f or Sight, Sino-UK Education Fund.