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

    Studies from Science University of Malaysia Add New Findings in the Area of Mach ine Learning (Modelling and Optimizing Secondary Metabolites Production In spiro dela Polyrhiza Using Machine Learning)

    65-65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 from Pulau Pinang, Malaysia, by NewsRx journalists, research stated, “Spirodela. polyrhiza asone of the pote ntial feedstocks for industrial natural dye and pharmaceutical products, efficie nt processto produce from it were scarce. Here, Artificial Neural Network (ANN) and Genetic Algorithm (GA) wereemployed for modelling and optimization respect ively.”
      原文链接:
    • NETL
    • NSTL

    Reports from Concordia University Describe Recent Advances in Artificial Intelli gence (Enhancing Medical Image Classification with Unified Model Agnostic Comput ation and Explainable AI)

    66-66页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Montrea l, Canada, by NewsRx correspondents, research stated, “Advances inmedical image classification have recently benefited from general augmentation techniques.”
      原文链接:
    • NETL
    • NSTL

    Studies from National University of Defense Technology Add New Findings in the A rea of Machine Learning (Research On Ip Node Port Openness Prediction Method Bas ed On Pso-catboost)

    66-67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 reporting originating from Hefei, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Thedevelopment of n etwork measurement technologies has greatly increased the speed of network scans , butit also poses risks for the stability of the scanned networks. How to redu ce probing traffic and enhancethe effectiveness of probing has become a new res earch issue.”
      原文链接:
    • NETL
    • NSTL

    Reports from University of Padua Highlight Recent Research in Machine Learning [Machine Learning Clustering Techniques to Support Structural Monitoring of the V algadena Bridge Viaduct (Italy)]

    67-68页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to news reportingout of Legnaro, Italy, b y NewsRx editors, research stated, “The lack of precise and comprehensiveinform ation about the health of bridges, and in particular long span ones, can lead to incorrect decisionsregarding maintenance, repair, modernization, and reinforce ment of the structure itself. While the consequencesof inadequate interventions are quite apparent, incorrect decisions can also result in unnecessaryor misdi rected actions.”
      原文链接:
    • NETL
    • NSTL

    Study Data from Central China Normal University Provide New Insights into Machin e Learning [Machine Learning of (1+1)- dimensional Directed Pe rcolation Based On Raw and Shuffled Configurations]

    68-69页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According to newsreporting out of Wuhan, People’ s Republic of China, by NewsRx editors, research stated, “Machine learning(ML) can process large sets of data generated from complex systems, which is ideal fo r classification tasksas often appeared in critical phenomena. Meanwhile ML tec hniques have been found effective in detectingcritical points, or in a broader sense phase separation, and extracting critical exponents.”
      原文链接:
    • NETL
    • NSTL

    Mohammed Ⅵ Polytechnic University Researchers Describe Recent Advances in Machi ne Learning (Identifying hidden factors influencing soil Olsen-P in an alkaline calcareous soil using machine learning and geostatistical techniques)

    69-70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 newsreporting out of Mohammed Ⅵ Polytechn ic University by NewsRx editors, research stated, “Phosphorus(P) deficiency is one of the major constraints for sustainable crop production in calcareous soils . Thisstudy aimed to elucidate the key soil characteristics modulating the vari ability of soil Olsen P in thesetypical soils.”
      原文链接:
    • NETL
    • NSTL

    Researcher from Maastricht University Publishes Findings in Robotics (I Care Tha t You Don’t Share: Confidentiality in Student-Robot Interactions)

    70-71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 originating fromMaastricht, Netherlands, by NewsRx co rrespondents, research stated, “Enabled by technological advances,robot teacher s have entered educational service frontlines.”
      原文链接:
    • NETL
    • NSTL

    New Machine Learning Study Findings Recently Were Published by a Researcher at F ederal University of Technology (Enhancing Disaster Response and Resilience Thro ugh Near-Time GIS for Flood Monitoring and Analysis in Niger River Basin, Nigeri a)

    71-72页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According tonews originating from Akure, Nigeria , by NewsRx correspondents, research stated, “This study developsan integrated framework leveraging Google Earth Engine for near real-time flood mapping and im pactanalysis in the flood-prone Niger River Basin of Nigeria. Multi-temporal op tical, radar and terrain dataquantified changing flood hazards and exposure acr oss 150,000 km2 between peak floods in 2022.”
      原文链接:
    • NETL
    • NSTL

    Study Findings on Machine Learning Detailed by Researchers at IPB University (Ch aracteristics of Machine Learning-based Univariate Time Series Imputation Method )

    72-73页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligenc e is the subject of a new report. According tonews originating from Bogor, Indo nesia, by NewsRx correspondents, research stated, “Handling missingvalues in un ivariate time series analysis poses a challenge, potentially leading to inaccura te conclusions,especially with frequently occurring consecutive missing values. ”
      原文链接:
    • NETL
    • NSTL

    Faculty of Agrobiotechnical Sciences Osijek Researcher Focuses on Machine Learni ng (A Comprehensive Evaluation of Machine Learning Algorithms for Digital Soil O rganic Carbon Mapping on a National Scale)

    73-73页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial in telligence. According to news originating fromOsijek, Croatia, by NewsRx editor s, the research stated, “The aim of this study was to narrow the researchgap of ambiguity in which machine learning algorithms should be selected for evaluatio n in digital soilorganic carbon (SOC) mapping.”
      原文链接:
    • NETL
    • NSTL