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    Reports from University of Gloucestershire Describe Recent Advances in Machine L earning (Hybrid Intrusion Detection System for RPL IoT Networks Using Machine Le arning and Deep Learning)

    38-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to news reportingoriginating from Cheltenham, United Kingdom, by NewsRx correspondents, research stated, “The Internetof Thi ngs (IoT) is transforming everyday objects.”

    Recent Studies from University Nacl San Agustin Arequipa Add New Data to Robotic s (Three-dimensional Reconstruction of Enclosed Environments Based On Two-dimens ional Lidar: Starting Point and Future Challenges)

    39-40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 Arequipa, Peru, by NewsRx c orrespondents, research stated, “Robotics and LiDAR technology standas a crucia l cornerstone for the development of cutting-edge three-dimensional mapping syst ems. Thisstudy represents a significant advancement by addressing the developme nt of an initial approach for athree-dimensional mapping system, utilizing a un ique LiDAR translational mechanism.”

    Studies from Beijing Jiaotong University Update Current Data on Chemicals and Ch emistry (Environmental Oxygen Monitoring In Confined Spaces By a Mobile Sensor S ystem Based On Oa-icos and Pso-svm Without Pressure Control)

    40-41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 Chemicals and Chemistry. According to newsoriginating from Beijing, People’s Re public of China, by NewsRx correspondents, research stated, “In thisarticle, a mobile oxygen (O-2) sensor system based on off-axis integrated cavity output spe ctroscopy (OAICOS)was developed for environmental oxygen monitoring in confine d spaces using a 760-nm distributedfeedback (DFB) laser without pressure contro l. In order to improve the detection sensitivity, wavelengthmodulation spectros copy with second harmonic detection (WMS-2f) strategy was employed.”

    Researcher at Guangzhou Maritime University Discusses Research in Robotics (Desi gn and workspace analysis of a cable-driven space capture robot for noncooperati ve targets)

    41-42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 new report. According to news reportingfrom Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Capturingnoncooperative tar gets in space has garnered continuous research interest in aerospace application s.”

    Investigators at Kansas State University Report Findings in Machine Learning (Re presentative Sample Size for Estimating Saturated Hydraulic Conductivity Via Mac hine Learning: a Proof-of-concept Study)

    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 Ma chine Learning. According to news reportingoriginating from Manhattan, Kansas, by NewsRx correspondents, research stated, “Machine learning (ML)has been exten sively applied in various disciplines. However, not much attention has been paid to dataheterogeneity in databases and number of samples used to train ML model s in hydrology.”

    New Findings from Shandong University in the Area of Machine Learning Described (A Systematic Review and Meta-analysis of Machine Learning, Deep Learning, and E nsemble Learning Approaches In Predicting Ev Charging Behavior)

    43-44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 Ma chine Learning. According to news reportingoriginating in Jinan, People’s Repub lic of China, by NewsRx journalists, research stated, “Machine learning(ML) and deep learning (DL) have enabled algorithms to autonomously acquire knowledge fr om data,facilitating predictive and decision-making capabilities without explic it programming. This transformativepotential has reshaped industries by utilizi ng data-driven insights.”

    New Machine Learning Study Findings Recently Were Reported by Researchers at Uni versity of Porto (Enhancing Cfd Solver With Machine Learning Techniques)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Porto, Portuga l, by NewsRx journalists, research stated, “This study addresses thecomputation al challenges in fluid flow simulations arising from demanding computational gri ds, requiredto capture the temporal and length scales involved. Our approach fo cuses on the pressure solver, as thisis a resource-intensive component in Compu tational Fluid Dynamics (CFD) solvers.”

    New Robotics Study Results Reported from Shanghai Jiao Tong University (Skill La tent Space Based Multigait Learning for a Legged Robot)

    45-46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 outof Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Using proprioception toreproduce multiple gaits is nontrivial for legged robots, especially when encountering different t errainsand velocity commands. Recently, reinforcement learning (RL) has been ut ilized to design powerful blindlocomotion controllers.”

    Study Findings from Nanjing University of Posts and Telecommunications Provide N ew Insights into Intelligent Systems (A Noveliterationscheme Withconjugategradie nt Forfaster Pruningon Transformermodels)

    46-47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 Machine Learning - Intelligent Systems. According tonews reporting out of Nanjing, Peo ple’s Republic of China, by NewsRx editors, research stated, “Pre-trainedmodels based on the Transformer architecture have significantly advanced research with in the domain ofNatural Language Processing (NLP) due to their superior perform ance and extensive applicability acrossmultiple technological sectors. Despite these advantages, there is a significant challenge in optimizing thesemodels fo r more efficient deployment.”

    Reports from Dalian University of Technology Advance Knowledge in Machine Learni ng (Comparative Analysis of Heat Transfer Prediction for Falling Film Evaporatio n On the Horizontal Tube Based On Machine Learning Methods)

    47-48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 Machine Learn ing have been published. According to newsreporting originating from Dalian, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Precise pr ediction of heat transfer for falling film evaporation is necessary for the hori zontal tube fallingfilm evaporator design. In this study, models to predict the heat transfer are compared, which are developedby traditional Least Square met hod (LSM) and Machine Learning (ML) methods, including Support VectorRegression (SVR), Artificial Neural Network (ANN) and Random Forest Regression (RFR).”