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    Data from Department of Electrical and Electronics EngineeringBroaden Understan ding of Machine Learning (Performance and Analysis of Soft Computing Techniques with Energy Management Framework in IoT Networks)

    87-88页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originating from the Department of Electric al and Electronics Engineering by NewsRx correspondents, research stated,“An EV (ELECTRIC VEHICLE) charging system based on machine learning (ML) has the capac ity togenerate precise future judgements based on previous data. A number of ML algorithms, including DecisionTree (DT), Random Forest (RF), Support Vector Ma chine (SVM), and K-Nearest Neighbours (KNN), arecontrasted in terms of their pe rformances in optimisation.”

    Reports Summarize Machine Learning Study Results from Bennett University (Probin g Intractable Beyond-standard-model Parameter Spaces Armed With Machine Learning )

    87-87页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Uttar Pradesh, India , by NewsRx journalists, research stated, “This article attempts tosummarize th e effort by the particle physics community in addressing the tedious work of det erminingthe parameter spaces of beyond-the-standard-model (BSM) scenarios, allo wed by data.”

    Lovely Professional University Researchers Advance Knowledge inSupport Vector M achines (Enhancing gait recognition by multimodalfusion of mobilenetv1 and xcep tion features via PCA for OaA-SVM classification)

    88-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on support vector ma chines are discussed in a new report. Accordingto news originating from Lovely Professional University by NewsRx correspondents, research stated, “Gaitrecogni tion has become an increasingly promising area of research in the search for non invasive andeffective methods of person identification. Its potential applicati ons in security systems and medicaldiagnosis make it an exciting field with wid e-ranging implications.”

    Affiliated Hospital of Southwest Medical University Reports Findings in Kawasaki Disease (Construction and validation of predictive models for intravenous immun oglobulin-resistant Kawasaki disease using an interpretable machine learning app roach)

    89-90页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Vascular Diseases and Conditions - Kawasaki Disease is the subject ofa report. According to news orig inating from Luzhou, People’s Republic of China, by NewsRx correspondents,resea rch stated, “Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is ass ociated withcoronary artery lesion development. This study aimed to explore the factors associated with IVIG-resistanceand construct and validate an interpret able machine learning (ML) prediction model in clinical practice.”

    New Support Vector Machines Study Findings Reported from Xi’anTechnological Uni versity (Research On Intelligent Prediction of Surface Roughness In Cutting 42cr mo Steel By Using Particle Swarm Optimization-based Support Vector Machine)

    90-91页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Support Vector Machines. According to news reportingfrom Shaanxi, People’s Republic of China, by NewsRx journalists, research stated, “42CrMo high-strengthsteel is a material that is difficult to machine and has difficulties controlling the qual ity of the machinedsurface. To ensure the stability of surface quality during c utting, lead the adjustment of cutting parametersto accurately predict the 42Cr Mo steel’s machined surface roughness (Ra).”

    Hasselt University (Uhasselt) Researchers Have Provided New Study Findings on Ro botics (Localization of hotspots via a lightweight system combining Compton imag ing with a 3D lidar camera)

    91-92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 robotics have bee n published. According to news originating fromDiepenbeek, Belgium, by NewsRx c orrespondents, research stated, “Efficient and secure decommissioningof nuclear facilities demands advanced technologies. In this context, gamma-ray detection and imaging arecrucial in identifying radioactive hotspots and monitoring radia tion levels.”

    Western University Reports Findings in Artificial Intelligence (Mapping Trust in Nurses with Dimensions of Trustworthy Artificial Intelligence: A Scoping Review )

    92-92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 report. According to newsreporting from London, Canada, b y NewsRx journalists, research stated, “This scoping review examinesthe concept of trust in nursing and its potential application in developing trustworthy Art ificial Intelligence(AI) for healthcare. Recognizing nurses as highly trusted p rofessionals, the study explores how attributescontributing to trust in nursing can inform AI development.”

    Liverpool John Moores University Reports Findings in Machine Learning (A proposa l for cut marks classification using machinelearning: Serrated vs. non-serrated , single vs. double-beveled knives)

    93-93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 newsoriginating from Liverpool, United King dom, by NewsRx correspondents, research stated, “In tool markidentification, th ere is still a lack of characteristics and methodologies standardization used to analyze anddescribe sharp force trauma marks on skeletal remains. This study p resents a classification method forcut marks on human bones, providing an appli cable methodology for their examination and the relevantterminology for describ ing cases of sharp force trauma.”

    Sichuan University Researchers Add New Data to Research in MachineLearning (Mac hine learning for accurate detection of small airway dysfunction-related respira tory changes: an observational study)

    94-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on artificial intelligence are present ed in a new report. According to news originatingfrom Sichuan University by New sRx editors, the research stated, “The use of machine learning(ML)methods would improve the diagnosis of small airway dysfunction(SAD) in subjects with chronic respiratorysymptoms and preserved pulmonary function(PPF). This paper evaluate d the performance of several MLalgorithms associated with the impulse oscillome try(IOS) analysis to aid in the diagnostic of respiratorychanges in SAD.”

    Study Findings from Rochester Institute of Technology Provide NewInsights into Machine Learning (A Machine Learning Approach to Evaluating the Impact of Natura l Oils on Alzheimer’s Disease Progression)

    95-96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. Accordingto news reporting originating from D ubai, United Arab Emirates, by NewsRx correspondents, researchstated, “Alzheime r’s Disease is among the major chronic neurodegenerative diseases that affects m orethan 50 million people worldwide. This disease irreversibly destroys memory, cognition, and the overalldaily activities which occur mainly among the elderl y.”