首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    China University of Mining and Technology Reports Findings in Machine Learning ( Hybrid machine learning approach for accurate prediction of the drilling rock index)

    1-1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 Machine Learning is the subject of a report. According to news reporting from Xuzhou, People’s Republic of China, by NewsRx journalists, research stated, “The drilling rate index (DRI) of rocks is important for optimizing drilling operations, as it informs the choice of appropriate methods and equipment, ultimately improving the efficiency of rock excavation projects. This study presents a hybrid machine learning approach to predict the DRI of rocks accurately.”
      原文链接:
    • NETL
    • NSTL

    Long Island University Reports Findings in Bovine Coronavirus [Machine learning tools used for mapping some immunogenic epitopes within the major structural proteins of the bovine coronavirus (BCoV) and for the in silico design of the ...]

    2-3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 Bovine Diseases and Conditions - Bovine Coronavirus is the subject of a report. According to news originating from Brooklyn, New York, by NewsRx correspondents, research stated, “BCoV is one of the significant causes of enteritis in young calves; it may also be responsible for many respiratory outbreaks in young calves. BCoV participates in the development of bovine respiratory disease complex in association with other bacterial pathogens.”
      原文链接:
    • NETL
    • NSTL

    Study Data from Disney Research Update Understanding of Robotics (Interactive Design of Stylized Walking Gaits for Robotic Characters)

    3-3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 Robotics is the subject of a report. According to news reporting originating from Los Angeles, California, by NewsRx correspondents, research stated, “Procedural animation has seen widespread use in the design of expressive walking gaits for virtual characters. While similar tools could breathe life into robotic characters, existing techniques are largely unaware of the kinematic and dynamic constraints imposed by physical robots.”
      原文链接:
    • NETL
    • NSTL

    Beijing Normal University Reports Findings in Machine Learning (Identifying key factors of reading achievement: A machine learning approach)

    4-4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 Machine Learning is the subject of a report. According to news reporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “This article explored the in fluencing factors of digital reading achievement based on the PISA 2018 assessment of students’ reading achievement. An integrated Random Effect-Expectation Max imization (RE-EM) regression tree model was the first constructed to address the shortcomings of traditional machine learning methods for nested data estimation and the limitations of traditional linear models in handling complex data.”
      原文链接:
    • NETL
    • NSTL

    Data on Machine Learning Reported by B. Moses Abraham and Colleagues [Machine Learning-Enabled Nanoscale Phase Prediction in Engineered Poly(Vinyliden e Fluoride)]

    4-5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 Machine Learning is the subject of a report. According to news reporting from Barcelona, Spain, by New sRx journalists, research stated, “Engineered poly(vinylidene fluoride) (PVDF) with its diverse crystalline phases plays a crucial role in determining the perfo rmance of devices in piezo-, pyro-, ferro- and tribo-electric applications, indi cating the importance of distinct phasedetection in defining the structure-prop erty relation. However, traditional characterization techniques struggle to effe ctively distinguish these phases, thereby failing to offer complete information. ” Financial supporters for this research include Mission on Nano Science and Technology, University Grants Commission - South Eastern Regional Office.
      原文链接:
    • NETL
    • NSTL

    Reshetnev Siberian State University of Science and Technology Researchers Have Published New Study Findings on Machine Learning (Application of machine learning methods to predict soil moisture based on meteorological and atmospheric data)

    5-6页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Reshetnev Siberian State University of Science and Technology by NewsRx correspondents, re search stated, “The purpose of this study was to develop and evaluate models for predicting soil moisture based on data from meteorological conditions and particle concentrations in the air.”
      原文链接:
    • NETL
    • NSTL

    Universitas Pelita Harapan Reports Findings in Artificial Intelligence (Machine learning for the localization of Subthalamic Nucleus during deep brain stimulati on surgery: a systematic review and Metaanalysis)

    6-7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 Artificial Intelligence is the subject of a report. According to news originating from Tangerang, Indo nesia, by NewsRx correspondents, research stated, “Delineating subthalamic nucle us (STN) boundaries using microelectrode recordings (MER) and trajectory history is a valuable resource for neurosurgeons, aiding in the accurate and efficient positioning of deep brain stimulation (DBS) electrodes within the STN. Here, we aimed to assess the application of artificial intelligence, specifically Hidden Markov Models (HMM), in the context of STN localization.”
      原文链接:
    • NETL
    • NSTL

    Research on Machine Learning Published by Researchers at Putian University (Adva nced Predictive Modeling of Concrete Compressive Strength and Slump Characteristics: A Comparative Evaluation of BPNN, SVM, and RF Models Optimized via PSO)

    7-8页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Putian, People’s Repub lic of China, by NewsRx editors, research stated, “This study presents the devel opment of predictive models for concrete performance, specifically targeting the compressive strength and slump value, utilizing the quantities of individual ra w materials in the concrete mix design as input variables. Three distinct machine learning approaches-Backpropagation Neural Network (BPNN), Support Vector Machine (SVM), and Random Forest (RF)-were employed to establish the prediction models independently.”
      原文链接:
    • NETL
    • NSTL

    University of Salento Researchers Publish New Study Findings on Artificial Intel ligence (Applications of Artificial Intelligence in Microbiome Analysis and Probiotic Interventions-An Overview and Perspective Based on the Current State of the Art)

    8-9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 reporting originating from Lecce, Italy, by NewsRx correspondents, research stated, “The gut microbiota plays a crucial role in maintaining human health and influencing disease states.”
      原文链接:
    • NETL
    • NSTL

    Researchers at Soochow University Release New Data on Machine Learning (Computat ional Design of Energy-related Materials: From First-principles Calculations To Machine Learning)

    9-10页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Suzhou, People’s Republic of China, by NewsRx editors, research stated, “Energy-related materials are crucial for advancing energy technologies, improving efficiency, reducing environmental impacts, and supporting sustainable development. Designing and discovering thes e materials through computational techniques necessitates a comprehensive unders tanding of the material space, which is defined by the constituent atoms, compos ition, and structure.”
      原文链接:
    • NETL
    • NSTL