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    Investigators from College for Chemistry and Chemical Engineering Release New Da ta on Machine Learning (Unveiling Similarities and Differences In Oxidation Proc esses of Oxidants and Derived Reactive Oxygen Species Through Machine Learning . ..)

    40-40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 originating in Changsha, Pe ople’s Republic of China, by NewsRx journalists, research stated,“Accurately un derstanding the similarities and differences in the oxidation processes of oxida nts and derivedreactive oxygen species (ROS) is crucial for machine learning mo dels to achieve chemical accuracy andrationality when quantitatively predicting ROS oxidation rate constants (kAOP). In this study, we utilizedthirteen molecu lar fingerprints to express pollutant structures and combined six machine learni ng modelsto accurately predict the kAOP of three typical reactive oxygen specie s, ozone (O3), hydroxyl radical(center dot OH), and sulfate radical (SO4 center dot-), while exploring their degradation mechanisms.”

    Studies from Bvrit Hyderabad College of Engineering Women Provide New Data on Ma chine Learning (Design and Analysis of Four-port Mimo System Optimization Method ology With Machine Learning Approaches of Validated Antenna Parameters)

    41-41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. According tonews reporting originating from Tela ngana, India, by NewsRx correspondents, research stated, “A fourelementMIMO ar ray antenna for the generation of 5G cellphones to operate at lower sub-6 GHz sy stemsand which is optimized using the current design approach. For acceptable p erformance related to theoptimum design parameters EM simulations are performed instead of traditional optimizations method dueto time-consuming process for a ntenna design.”

    New Robotics Research from College of Mechanical Engineering Described (High-Pre cision Drilling by Anchor-Drilling Robot Based on Hybrid Visual Servo Control in Coal Mine)

    42-43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. According to news reporting originatingfrom the College of Mechanical E ngineering by NewsRx correspondents, research stated, “Rock bolting isa commonl y used method for stabilizing the surrounding rock in coal-mine roadways. It inv olves installingrock bolts after drilling, which penetrate unstable rock layers , binding loose rocks together, enhancing thestability of the surrounding rock, and controlling its deformation.”

    Data on Intelligent Vehicles Described by Researchers at Beijing Jiaotong Univer sity (Sacinet: Semantic-aware Cross-modal Interaction Network for Real-time 3d O bject Detection)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Transportatio n - Intelligent Vehicles. According to newsreporting from Beijing, People’s Rep ublic of China, by NewsRx journalists, research stated, “LiDARCamerafusion-bas ed 3D object detection is one of the main visual perception tasks in autonomousdriving, facing the challenges of small targets and occlusions. Image semantics are beneficial for theseissues, yet most existing methods applied semantics onl y in the cross-modal fusion stage to compensatefor point geometric features, wh ere the advantages of semantic information are not effectively explored.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Nat ional Institute of Scientific Research (INRS) Eau Terre Environment Research Cen tre (Prediction of Hourly Wind Speed Time Series At Unsampled Locations Using .. .)

    44-45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 Quebec City, Canada, b y NewsRx journalists, research stated, “Various models for windspeed mapping ha ve been developed, with increasing attention on models focusing on mapping windspeed distribution. This study extends these models to predict hourly wind speed time series at unsampledlocations.”

    Southwest Medical University Reports Findings in Bioinformatics (Identification of endoplasmic reticulum stress genes in human stroke based on bioinformatics an d machine learning)

    45-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinf ormatics is the subject of a report. Accordingto news originating from Luzhou, People’s Republic of China, by NewsRx correspondents, research stated,“After is chemic stroke (IS), secondary injury is intimately linked to endoplasmic reticul um (ER) stressand body-brain crosstalk. Nonetheless, the underlying mechanism s ystemic immune disorder mediated ERstress in human IS remains unknown.”

    Studies from Xi’an Jiaotong University Yield New Data on Robotics (Liquid-amplif ied Electrostatically Driven Octopus Sucker-inspired Suction Cup)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news originatingfrom Xi’an, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Adhesion anddetachment technol ogies play a crucial role in various fields, including industrial robot handling , transferprinting, medical applications, and crawling robot locomotion. Tradit ional pneumatic suction cups rely onbulky and noisy vacuum sources and need for preloading while electrostatic adhesion-detachment devicesgenerally cannot pro vide enough adhesion force.”

    Researchers from China University of Mining and Technology Discuss Findings in C omputational Intelligence (D2former: Dualdomain Transformer for Change Detectio n In Vhr Remote Sensing Images)

    47-47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 Computational Intelligence. According to newsreporting originating from Xuzhou, People’s Republic of China, by NewsRx correspondents, research stated,“Computa tional intelligence technologies have been extensively applied for the interpret ation of remotesensing imagery. Recently, the computational-intelligence-based Transformer change detection (CD) approachhas attracted increasing attention.”

    Studies from Dongguk University in the Area of Artificial Intelligence Described (Comparative Study of Adversarial Defenses: Adversarial Training and Regulariza tion in Vision Transformers and CNNs)

    48-48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 artificial in telligence have been published. According to newsreporting originating from Seo ul, South Korea, by NewsRx correspondents, research stated, “Transformerbasedm odels are driving a significant revolution in the field of machine learning at t he moment. Amongthese innovations, vision transformers (ViTs) stand out for the ir application of transformer architecturesto vision-related tasks.”

    Findings from South China University of Technology Reveals New Findings on Intel ligent Vehicles (Approximate Markov Perfect Equilibrium of Joint Offloading Poli cy for Multi-iv Using Reward-shared Distributed Method)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Transportation - I ntelligent Vehicles. According to news reportingfrom Guangzhou, People’s Republ ic of China, by NewsRx journalists, research stated, “In this article, weinvest igate the problem of optimizing the joint offloading policy in a distributed man ner for multipleintelligent vehicles (IVs). During the journey in vehicular edg e computing (VEC) networks, IVs continuallyoptimize their joint offloading poli cy to minimize the long-term accumulated costs generated by executingcomputatio nal tasks.”