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    People's Hospital of Longhua Reports Findings in Stroke (Analyzing prehospital d elays in recurrent acute ischemic stroke: Insights from interpretable machine le arning)

    39-39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 Cerebrovascular Diseas es and Conditions-Stroke is the subject of a report. According to news origina ting from Shenzhen, People's Republic of China, by NewsRx correspondents, resear ch stated, “This study investigates prehospital delays in recurrent Acute Ischem ic Stroke (AIS) patients, aiming to identify key factors contributing to these d elays to inform effective interventions. A retrospective cohort analysis of 1419 AIS patients in Shenzhen from December 2021 to August 2023 was performed.”

    New Findings from Catholic University Louvain (UCLouvain) Describe Advances in Machine Learning (Combination of ab initio descriptors and machine learning appro ach for the prediction of the plasticity mechanisms in b-metastable Tialloys)

    40-40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 ar tificial intelligence. According to news originating from Louvain la Neuve, Belg ium, by NewsRx correspondents, research stated, “This study proposes a machine-l earning (ML) model combining ab initio calculations and an experimental dataset of 201 alloys (in addition to pure Ti) to predict the activated plasticity mecha nisms in b-Ti alloys.”

    New Data from Beijing Institute of Aeronautical Materials Illuminate Findings in Robotics (A Heavy-load Wall-climbing Robot for Bridge Concrete Structures Inspe ction)

    40-41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. According to news reporting out of Beijing, People's Republic of China, by NewsRx editors, research stated,” The factors affecting the load cap acity are obtained by analyzing the antislip and antioverturning conditions of the wall-climbing robot platform on the wall surface.” Financial support for this research came from National Key R&D Prog ram of China.

    Studies from Southwest Jiaotong University Yield New Data on Machine Learning (A pplication of Machine Learning To Determine Earthquake Hypocenter Location In Ea rthquake Early Warning)

    42-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting from Sichuan, People's Republic of China, by NewsRx journalists, research stated, “We propose a novel hypocenter lo calization model based on machine learning in the hope of providing a feasible s olution for earthquake early warning system (EEWs). The model predicts the hypoc enter location using the time series of trigger stations.”

    Researchers from Jiangsu University Detail New Studies and Findings in the Area of Machine Learning (Intelligent Tire Slip Angle Estimation Based On Sensor Targ eting Configuration)

    43-43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 Zhenjiang, People's Repub lic of China, by NewsRx journalists, research stated, “Tire slip angle is a vita l parameter in tire/vehicle dynamics analysis and control. This article proposes a novel tire slip angle estimation method based on intelligent tire technology and machine learning algorithms.”

    Reports on Machine Learning Findings from Wuhan University Provide New Insights (Estimation of Planetary Boundary Layer Height From Lidar By Combining Gradient Method and Machine Learning Algorithms)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Wuhan, People's Republic of China, by NewsRx journalists, research stated, “The planetary boundary layer height (PBLH ) has a significant impact on the energy and material exchange in the atmosphere . The traditional gradient method (GM) determines the PBLH based on the gradient change of the aerosol profile.”

    Tongji University School of Medicine Reports Findings in Cervical Cancer (Develo pment and validation of a prognostic model for cervical cancer by combination of machine learning and highthroughput sequencing)

    45-46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 Oncology-Cervical Ca ncer is the subject of a report. According to news reporting originating in Shan ghai, People's Republic of China, by NewsRx journalists, research stated, “Cervi cal cancer holds the highest morbidity and mortality rates among female reproduc tive tract tumors. However, the curative outcomes for patients with persistent, recurrent, or metastatic cervical cancer remain unsatisfactory.”

    New Findings from East China University of Science and Technology in the Area of Computational Intelligence Reported (Knowledgeassisted Dual-stage Evolutionary Optimization of Large-scale Crude Oil Scheduling)

    46-47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-Computational Intelligence. According to news reporting originating in Shanghai, People's Republic of China, by NewsRx journalists, research stated, “With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil scheduling problems (LSCOSPs) emerge with thousands of binary variable s and non-linear constraints, which are challenging to be optimized by tradition al optimization methods. To solve LSCOSPs, we take the practical crude oil sched uling from a marine-access refinery as an example and start with modeling LSCOSP s from crude unloading, transportation, crude distillation unit processing, and inventory management of intermediate products.”

    New Findings from Semnan University in the Area of Machine Learning Published (Shapley additive explanation on machine learning predictions of fatigue lifetimes in piston aluminum alloys under different manufacturing and loading conditions)

    47-47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 artificial in telligence have been published. According to news originating from Semnan, Iran, by NewsRx correspondents, research stated, “Various input variables, including corrosion time, fretting force, stress, lubrication, heat-treating, and nano-par ticles, were evaluated by modeling of stress-controlled fatigue lifetimes in AlS i12CuNiMg aluminum alloy of the engine pistons with different machine learning ( ML) techniques.”

    Studies from Northwestern Polytechnic University Update Current Data on Computat ional Intelligence (Sidnet: Learning Shadingaware Illumination Descriptor for I mage Harmonization)

    48-48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-Computational Intelligence. According to news reporting originating from Xi'an, People's Republic of China, by NewsRx correspondents, research state d, “Image harmonization aims at adjusting the appearance of the foreground to ma ke it more compatible with the background. Without exploring background illumina tion and its effects on the foreground elements, existing works are incapable of generating a realistic foreground shading.”