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    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.”

    Study Findings on Robotics Are Outlined in Reports from Northwestern Polytechnic University (Model Predictive Control-based Tracking Controller for Hybrid-driven Underwater Legged Robot)

    49-49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 Robotic s. According to news reporting originating in Xi'an, People's Republic of China, by NewsRx journalists, research stated, “To address the tracking problem of the hybrid-driven underwater legged robot, a control strategy is proposed that deco mposes the whole tracking control system into two subsystems: body-level and act uator-level. The body-level subsystem uses a central pattern generator (CPG)-bas ed controller to plan suitable gaits to meet the required heading and the forwar d velocity, crucial for accurate tracking in underwater environments.”

    Research from Hong Kong Polytechnic University Reveals New Findings on Artificial Intelligence (Enhancing Diagnostic Images to Improve the Performance of the Se gment Anything Model in Medical Image Segmentation)

    50-50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 artificial intelli gence. According to news originating from Hong Kong, People's Republic of China, by NewsRx correspondents, research stated, “Medical imaging serves as a crucial tool in current cancer diagnosis.” Funders for this research include Health And Medical Research Fund; Huawei Colla borative Research Fund.

    Royal Adelaide Hospital Reports Findings in Allergies (Improving the performance of machine learning penicillin adverse drug reaction classification with synthe tic data and transfer learning)

    51-51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 Immune System Diseases and Conditions-Allergies is the subject of a report. According to news report ing out of Adelaide, Australia, by NewsRx editors, research stated, “Machine lea rning may assist with the identification of potentially inappropriate penicillin allergy labels. Strategies to improve the performance of existing models for th is task include the use of additional training data, synthetic data and transfer learning.”

    Findings from Intelligent Systems Corporation Provides New Data about Scleroprot eins (Numerical Assessment of Low-speed Impacts On Ballistic Gelatin On a Spring Stage As a Human Bio-simulant)

    52-52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 Proteins-Sclero proteins are discussed in a new report. According to news reporting originating in Gaithersburg, Maryland, by NewsRx journalists, research stated, “Biosimulant s and finite element (FE) models have been used to investigate internal injuries caused by external impacts. As the collaboration between humans and industrial robots increases, it is important to understand the expected injuries or damage caused by collaborative robots.”