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    Research from Biotechnology Institute Provide New Insights into Machine Learning (Evaluation of Arabica Coffee Fermentation Using Machine Learning)

    10-11页
    查看更多>>摘要:Researchers detail new data in artificial intelligence. According to news reporting from Patos de Minas, Brazil, by NewsRx journalists, research stated, “This study explores the variances in the organic, chemical, and sensory attributes of fermented coffee beans, specifically examining how post-harvest processes influence cup quality. Coffee fruits from the Catuai IAC-144 variety were processed using both natural coffee (NC) and pulped coffee (PC) methods.”

    New Findings from Federal University Minas Gerais in the Area of Robotics Described (Generalization In Deep Reinforcement Learning for Robotic Navigation By Reward Shaping)

    11-11页
    查看更多>>摘要:A new study on Robotics is now available. According to news reporting out of Belo Horizonte, Brazil, by NewsRx editors, research stated, “This paper addresses the application of Deep Reinforcement Learning (DRL) methods in the context of local navigation, i.e., a robot moves towards a goal location in unknown and cluttered workspaces equipped only with limited-range exteroceptive sensors. Collision avoidance policies based on DRL present advantages, but they are quite susceptible to local minima, once their capacity to learn suitable actions is limited to the sensor range.”

    Studies from University of Windsor Yield New Data on Boltzmann Machines (Enhancing Recommender System Performance Through the Fusion of Fuzzy C-means, Restricted Boltzmann Machine, and Extreme Learning Machine)

    12-12页
    查看更多>>摘要:New research on Boltzmann Machines is the subject of a report. According to news reporting out of Windsor, Canada, by NewsRx editors, research stated, “The prevalence of Recommender Systems (RS) has surged due to the widespread growth of the Internet and its related technologies. The efficiency of the RS is dependent on the quality of the underlying datasets used for training.”

    Research Data from Virginia Polytechnic Institute and State University (Virginia Tech) Update Understanding of Machine Learning (Transport Properties of Oil-co2 Mixtures In Calcite Nanopores: Physics and Machine Learning Models)

    13-13页
    查看更多>>摘要:Investigators discuss new findings in Machine Learning. According to news reporting out of Blacksburg, Virginia, by NewsRx editors, research stated, “Fundamental understanding and quantitative models of the transport properties of oil-CO2 mixtures in nanopores are indispensable for physics-based models of CO2-enhanced oil recovery in unconventional oil reservoirs. This study determines the Maxwell- Stefan (M-S) diffusivities of CO2-decane (1: CO2; 2: decane /C10) mixtures in calcite nanopores with compositions relevant to CO2 Huff-n-Puff by molecular dynamics (MD) simulations.”

    Research from Fujian University of Technology Yields New Study Findings on Support Vector Machines (Fault Diagnosis of Vehicle Gearboxes Based on Adaptive Wavelet Threshold and LT-PCANGO- SVM)

    14-14页
    查看更多>>摘要:Current study results on support vector machines have been published. According to news reporting originating from Fuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Vehicle gearboxes are subject to strong noise interference during operation, and the noise in the signal affects the accuracy of fault identification.”

    Study Findings on Artificial Intelligence Detailed by a Researcher at University of Connecticut (Metabolomics in the Era of Artificial Intelligence)

    15-16页
    查看更多>>摘要:Researchers detail new data in artificial intelligence. According to news originating from Storrs, United States, by NewsRx correspondents, research stated, “Artificial Intelligence (AI) is rapidly revolutionizing our daily lives, as it automates mundane tasks, enhances productivity, and transforms how we interact with technology.”

    Data from Silesian University of Technology Broaden Understanding of Robotics (Selected Issues, Methods, and Trends in the Energy Consumption of Industrial Robots)

    15-15页
    查看更多>>摘要:Data detailed on robotics have been presented. According to news reporting originating from Gliwice, Poland, by NewsRx correspondents, research stated, “Industrial robots, like all machines, require energy to operate, which is why energy efficiency in industrial robotics has been a subject of consideration in recent years in many scientific and industrial centers.”

    Findings from National Institute of Standards and Technology (NIST) Reveals New Findings on Machine Learning (Generating Synthetic Sensor Data To Facilitate Machine Learning Paradigm for Prediction of Building Fire Hazard)

    16-17页
    查看更多>>摘要:Current study results on Machine Learning have been published. According to news reporting from Gaithersburg, Maryland, by NewsRx journalists, research stated, “Using the zone fire model CFAST as the simulation engine, time series data for building sensors, such as heat detectors, smoke detectors, and other targets at any arbitrary locations in multi-room compartments with different geometric configurations, can be obtained. An automated process for creating inputs files and summarizing model results, CData, is being developed as a companion to CFAST.”

    Data from Memorial University of Newfoundland Broaden Understanding of Robotics (Active learning strategies for robotic tactile texture recognition tasks)

    17-18页
    查看更多>>摘要:Investigators publish new report on robotics. According to news originating from Memorial University of Newfoundland by NewsRx correspondents, research stated, “Accurate texture classification empowers robots to improve their perception and comprehension of the environment, enabling informed decision-making and appropriate responses to diverse materials and surfaces. Still, there are challenges for texture classification regarding the vast amount of time series data generated from robots’ sensors.”

    Findings from Northwestern University Update Understanding of Machine Learning (A Machine Learning-based Tire Life Prediction Framework for Increasing Life of Commercial Vehicle Tires)

    18-19页
    查看更多>>摘要:Investigators publish new report on Machine Learning. According to news reporting originating in Evanston, Illinois, by NewsRx journalists, research stated, “In the commercial freight industry, tire retreading decisions are often conservative due to limited knowledge of a tire’s remaining service life. This practice leads to increased costs and material waste.”