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

    Investigators from Delft University of Technology Release New Data on Machine Le arning (Advancing Railway Track Health Monitoring: Integrating Gpr, Insar and Ma chine Learning for Enhanced Asset Management)

    38-38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 from Delft, Netherlands, by NewsRx journ alists, research stated, “Railway track health monitoring and maintenance are cr ucial stages in railway asset management, aiming to enhance the train operation quality and service life. For this aim, various inspection means (using diverse nondestructive testing techniques) have been applied, however, these means are m ostly not able to monitor whole railway track network or track underlying layers (e.g., ballast and subgrade).”

    Beijing University of Civil Engineering and Architecture Researchers Provide Det ails of New Studies and Findings in the Area of Robotics (Mobile Robot Path Plan ning Algorithm Based on NSGA-II)

    39-39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 robotics. Accordin g to news originating from Beijing, People’s Republic of China, by NewsRx corres pondents, research stated, “Path planning for mobile robots is a key technology in robotics.”

    New Intelligent Systems Research from University Sidi Mohamed Ben Abdellah Outlined (Robust deep image clustering using convolutional autoencoder with separable discrete Krawtchouk and Hahn orthogonal moments)

    40-40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 intelli gent systems. According to news reporting from Fez, Morocco, by NewsRx journalis ts, research stated, “By cooperatively learning features and assigning clusters, deep clustering is superior to conventional clustering algorithms.”

    Data on Artificial Intelligence Discussed by Researchers at Materials Physics Center (Transfer Learning-driven Artificial Intelligence Model for Glass Transition Temperature Estimation of Molecular Glass Formers Mixtures)

    40-41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 reporting out of San Sebastian, Spain, by NewsRx editors, research stated, “Predicting binary mixtures’ glass tr ansition temperature ( T g ) is crucial in various fields, particularly for indu strial materials affected by this property during production processes and in se rvice-life. On the other hand, from the fundamental point of view, this predicti ve capability is relevant for understanding the chemical interactions between the two components and how this affects the Tg of the mixture.”

    Peking University School and Hospital of Stomatology Reports Findings in Artificial Intelligence (Measurement plane of the crosssectional area of the masseter muscle in patients with skeletal Class III malocclusion: An artificial intelligence ...)

    41-42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 Intelligenc e is the subject of a report. According to news reporting originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated, “This study aimed to determine a measurement plane that could represent the maximum c ross-sectional area (MCSA) of masseter muscle using an artificial intelligence m odel for patients with skeletal Class III malocclusion. The study included 197 p atients, divided into subgroups according to sex, mandibular symmetry, and mandi bular plane angle.”

    Data from Harbin Institute of Technology Provide New Insights into Machine Learning (Linking Metabolomics To Machine Learning Reveals the Metabolic Fates of the Refractory Industrial Pollutant 1-hexadecene)

    42-43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 Machine Learning. According to news reporting out of Heilongjiang, People’s Repu blic of China, by NewsRx editors, research stated, “In order to solve the low re moval efficiency of 1-Hexadecene in industrial wastewater treatment plants and f ill the knowledge gap of its microbial metabolic mechanisms, this work studied t he 1-Hexadecene degrading microorganisms enrichment and its metabolic pathway us ing continuous bioreactors and batch incubation tests. With the successful enric hment of hexadecene-degrading microorganisms, the biodegradation rates of 1-Hexa decene at 50 -200 mg/L could range from 58.6 % to 72.5 % . The 16S rRNA fragment and microbial community analysis identified Flavihumibac ter , Gemmatimonas , and Caulobacter as putative 1-Hexadecene degraders.”

    Researchers from School of Computing and Mathematics Discuss Findings in Artificial Intelligence (A Comprehensive Analysis of the Role of Artificial Intelligence In Aligning Tertiary Institutions Academic Programs To the Emerging Digital .. .)

    43-44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 originating from Nairobi, Kenya, by NewsRx correspondents, research stated, “The study explores the use of Artificial Intelligence (AI) frameworks in transforming academic programs into ada ptive, industry-relevant programs. The paper explores the development, validation, and effectiveness of artificial intelligence (AI) frameworks in aligning acad emic programs with the digital enterprise while highlighting the importance of these frameworks in enhancing graduates’ digital skills and employability.”

    University Pompeu Fabra Reports Findings in Artificial Intelligence (A machine learning predictive model for recurrence of resected distal cholangiocarcinoma: Development and validation of predictive model using artificial intelligence)

    44-45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 Intelligenc e is the subject of a report. According to news reporting originating in Barcelo na, Spain, by NewsRx journalists, research stated, “Distal Cholangiocarcinoma (d CCA) represents a challenge in hepatobiliary oncology, that requires nuanced pos t-resection prognostic modeling. Conventional staging criteria may oversimplify dCCA complexities, prompting the exploration of novel prognostic factors and met hodologies, including machine learning algorithms.”

    New Intelligent Systems Study Findings Reported from Chongqing University of Technology (Multi-source Information Contrastive Learning Collaborative Augmented Conversational Recommender Systems)

    45-46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 Machine Learning - Intelligent Systems are discussed in a new report. According to news reporting originating in Chongqing, People’s Republic of China, by NewsRx journalists, re search stated, “Conversational Recommender Systems (CRS) aim to provide high-qua lity items to users in fewer conversation rounds using natural language. Despite various attempts that have been made, there are still some problems: Previous C RS only learned item representations in a single knowledge graph and ignored ite m tags; information gaps exist in the same items from different knowledge graphs and information popularity both affect user preferences; system generated respo nses lack descriptiveness and diversity.”

    Reports from Yanshan University Add New Data to Findings in Robotics (Adaptive Dynamic Formation Control of Robotic Vehicle Systems Based On Rigid Graph Theory)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on Robotics have been presented. According to news originating from Qinhuangdao, People’s Republic of China, by New sRx correspondents, research stated, “In this paper, dynamic formation problem o f three-dimensional (3D) robotic vehicle systems with nonholonomic constraint an d dynamics model is investigated. The control objectives are to achieve formatio n acquisition (i.e., vehicles form a predefined geometric shape) and formation maneuvering (vehicles move as a whole following predefined velocity).”