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    Sanming University Researcher Advances Knowledge in Machine Learning (Predicting the future trend of cultural revitalization of traditional Hakka villages in we stern Fujian in the context of rural revitalization using machine learning)

    68-68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 from Fujian, People’s Republi c of China, by NewsRx journalists, research stated, “The “revitalization” develo pment of traditional village culture is more embodied as the revitalization of t he “traditional village cultural landscape genes.” This paper combines the overa ll concept and development strategy for the protection and development of tradit ional Hakka villages in western Fujian and puts forward the path of “revitalizat ion” development of traditional Hakka villages in western Fujian.”

    Investigators at University of Sao Paulo Report Findings in Machine Learning (Predictive Modelling of Chlorophyll In Mombaca Grass Leaves By Hyperspectral Refle ctance Data and Machine Learning)

    71-71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 th e subject of a report. According to news reporting originating in Piracicaba, Br azil, by NewsRx journalists, research stated, “Chlorophyll (Chl) concentration i s one of the factors that affects crop productivity. This study investigated the prediction of chlorophyll concentrations in Mombaca grass’ leaves using hypersp ectral data and machine learning techniques.”

    Studies from Tianjin University of Technology Further Understanding of Machine L earning (Capacity Prediction of Lithium-ion Batteries Based On Ensemble Empirica l Mode Decomposition and Hybrid Machine Learning)

    72-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Considering the i nfluence of capacity regeneration on the prediction accuracy of the remaining us eful life (RUL) of lithium-ion batteries (LIB), a multi-stage capacity predictio n method based on ensemble empirical mode decomposition (EEMD) and hybrid machin e learning is proposed. Firstly, the aging data of LIB is decomposed into residual sequence (degradation trends) and intrinsic mode function (IMF) by the EEMD algorithm.”

    New Machine Learning Research from Macau University of Science and Technology Di scussed (Rapid discrimination between wild and cultivated Ophiocordyceps sinensi s through comparative analysis of label-free SERS technique and mass spectrometry)

    73-73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 artificial intelligence is now available. According to news reporting from Taipa, People’s Republic of China, by NewsRx journalists, research stated, “Ophiocordyceps sinensis is a gen us of ascomycete fungi that has been widely used as a valuable tonic or medicine .”

    Research Reports on Artificial Intelligence from South Carolina State University Provide New Insights (Enhancing advanced driver assistance systems through expl ainable artificial intelligence for driver anomaly detection)

    74-74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 new report. According to news reporting out of South Carol ina State University by NewsRx editors, research stated, “The recent advancement s in Advanced Driver Assistance Systems (ADAS) have significantly contributed to road safety and driving comfort. An integral aspect of these systems is the det ection of driver anomalies such as drowsiness, distraction, and impairment, whic h are crucial for preventing accidents.”

    Recent Findings from Polytechnic University of Valencia Provides New Insights in to Machine Learning (Community Detection In Social Networks Using Machine Learning: a Systematic Mapping Study)

    75-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Valencia, Spa in, by NewsRx journalists, research stated, “One of the important issues in social networks is the social communities which are formed by interactions between its members. Three types of community including overlapping, non-overlapping, and hidden are detected by different approaches.”

    Data on Machine Learning Detailed by Researchers at Szechenyi Istvan University (Machine learning models for the elastic-critical buckling moment of sinusoidal corrugated web beam)

    78-78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 out of Gyor, Hungary , by NewsRx editors, research stated, “The torsional stiffness of I-beams with s inusoidal corrugated web is higher than that of flat web beams and the accuracy of the available hand-calculation methods to determine the elastic critical late ral-torsional buckling moment depends on the geometrical parameters of the beam and the web corrugation.”

    Research from Sun Yat-sen University in the Area of Support Vector Machines Desc ribed (Evaluating the Geoeffectiveness of Interplanetary Coronal Mass Ejections: Insights from a Support Vector Machine Approach with SHAP Value Analysis)

    79-80页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on have been publish ed. According to news reporting from Zhuhai, People’s Republic of China, by News Rx journalists, research stated, “In this study, we compiled a data set of 510 interplanetary coronal mass ejections (ICME) events from 1996-2023 and trained a radial basis function support vector machine (RBF-SVM) model to investigate the geoeffectiveness of ICMEs and its dependence on the solar wind conditions observed at 1 au.”

    Researchers at Guilin University of Electronic Technology Release New Data on Ro botics (Fast UOIS: Unseen Object Instance Segmentation with Adaptive Clustering for Industrial Robotic Grasping)

    80-81页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in robotics. According to news originating from Guilin, People’s Republic of China, by NewsRx correspondents, research stated, “Segmenting unseen object instances in unstructured environments is an important skill for robots to perform grasping-related tasks, where the trade-off between efficiency and accuracy is an urgent challenge to be solved.”

    Researchers from Douglas College Publish Findings in Machine Learning (A compreh ensive study of auto-encoders for anomaly detection: Efficiency and trade-offs)

    81-82页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Douglas College b y NewsRx editors, research stated, “Unsupervised anomaly detection (UAD) is a diverse research area explored across various application domains. Over time, nume rous anomaly detection techniques, including clustering, generative, and variational inference-based methods, are developed to address specific drawbacks and ad vance state-of-the-art techniques.”