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    A deep-learning and transfer-learning hybrid aerosol retrieval algorithm for FY4 -AGRI: development and verification over Asia

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A study published in Engineering introduces an in novative high-precision aerosol algorithm forgeostationary meteorological satel lite. Entitled “A Deep-Learning and Transfer-Learning Hybrid AerosolRetrieval A lgorithm for FY4-AGRI: Development and Verification over Asia”, the research art icle presentsa hybrid approach that addresses the challenges posed by the infle xibility of traditional physical algorithmsand the limited number of ground-bas ed sunphotometer sites required for machine learning.

    Study Data from Yamaguchi University Update Knowledge of Computational Intellige nce (Evolutionary Competition in Small-Size Lowest Unique Integer Games)

    2-2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 computa tional intelligence. According to news originatingfrom Yamaguchi, Japan, by New sRx editors, the research stated, “In lowest unique integer games(LUIGs), conti nually choosing the same number has been experimentally and computationally show n tobe effective.”

    Investigators from Nanjing University Report New Data on Robotics (Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning)

    3-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting out ofNanjing, People’s Republic of China, by NewsRx editors, research stated, “This article addresses the problemof legg ed locomotion in unstructured environments, and a novel hierarchical multicontac t motion planningmethod for hexapod robots is proposed by combining free gait m otion planning and deep reinforcementlearning. We structurally decompose the co mplex free gait multicontact motion planning task into pathplanning in discrete state space and gait planning in a continuous state space.”

    Study Findings on Machine Learning Are Outlined in Reports from Werner Heisenber g Institute (Detecting Fast Neutrino Flavor Conversions With Machine Learning)

    4-4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 Munich, Germany, by N ewsRx correspondents, research stated, “Neutrinos in denseenvironments like cor e -collapse supernovae (CCSNe) and neutron star mergers (NSMs) can undergo fastflavor conversions (FFCs) once the angular distribution of neutrino lepton numbe r crosses zero along acertain direction. Recent advancements have demonstrated the effectiveness machine learning (ML) indetecting these crossings.”

    Drexel University Reports Findings in Robotics (Mental workload assessment by mo nitoring brain, heart, and eye with six biomedical modalities during six cogniti ve tasks)

    5-5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 reportingoriginating in Philadelphia, Pennsylv ania, by NewsRx journalists, research stated, “The efficiency andsafety of comp lex high precision human-machine systems such as in aerospace and robotic surger y areclosely related to the cognitive readiness, ability to manage workload, an d situational awareness of theiroperators. Accurate assessment of mental worklo ad could help in preventing operator error and allow forpertinent intervention by predicting performance declines that can arise from either work overload or under stimulation.”

    Researchers at Indian Institute of Technology (IIT) Kanpur Report New Data on Ma chine Learning (Machine Learning Aided Prediction of Sintering Induced Swelling In Powder Metallurgical Cu-sn Alloys)

    6-6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 Uttar Prades h, India, by NewsRx journalists, research stated, “Powder metallurgyprocessed C u-Sn alloys consolidated via liquid phase sintering (LPS) often contain signific ant amount ofporosity which not only deteriorates their mechanical properties b ut also adversely affects their functionalperformance. During LPS, shrinkage an d swelling are the two competing processes that in turn determinethe extent of porosity and densification behaviour of the sintered alloy.”

    Studies from Nankai University Yield New Data on Robotics (Adaptive Fuzzy Contro l for Underactuated Robot Systems With Inaccurate Actuated States and Unavailabl e Unactuated States)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Robotics. A ccording to news reporting out of Tianjin, People’sRepublic of China, by NewsRx editors, research stated, “Underactuated robot systems, due to their uniquefle xibility and economy, are widely used in modern industry and intelligent manufac turing. However, theirunderactuated nature and complex nonlinearity make the co ntrol problem challenging.”

    Study Results from McMaster University Broaden Understanding of Machine Learning (An Integrated Framework for a Multi-material Surface Roughness Prediction Mode l In Cnc Turning Using Theoretical and Machine Learning Methods)

    8-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Hamilton, Canada, by News Rx journalists, research stated, “Indirect monitoring and predictionof surface roughness for computer numerical control (CNC) machining enables manufacturers t oensure quality outcomes are achieved, increase process productivity, and decre ase the risk of scrappedcomponents. Several approaches have been examined for s urface roughness prediction in CNC turning;however, few studies have explored t he development of models for multiple materials.”

    Researchers’ Work from Shenyang University of Chemical Technology Focuses on Rob otics (An Improved Moth-Flame Algorithm for Human-Robot Collaborative Parallel D isassembly Line Balancing Problem)

    9-9页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Data detailed on robotics have been presented. Ac cording to news reporting out of Shenyang,People’s Republic of China, by NewsRx editors, research stated, “In the context of sustainable developmentstrategies , the recycling of discarded products has become increasingly important with the developmentof electronic technology.”

    Research Findings from Dalian Minzu University Update Understanding of Support V ector Machines (Hyperspectral Image Classification with the Orthogonal Self-Atte ntion ResNet and Two-Step Support Vector Machine)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on have been presented. According to news originating from Dalian,People’s Republic of China, by NewsRx correspondents, research stated, “Hyperspectral image classification plays a cr ucial role in remote sensing image analysis by classifying pixels. However, the existing methodsrequire more spatial-global information interaction and feature extraction capabilities.”