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    Researcher from Southwest Petroleum University Discusses Findings in Automation Control and Intelligent Systems (UAV Visual Tracking with Enhanced Feature Infor mation)

    28-28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 au tomation control and intelligent systems.According to news originating from Che ngdu, People’s Republic of China, by NewsRx correspondents,research stated, “Un manned aerial vehicles (UAVs) visual tracking is an important research direction .”
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    University of Thessaly Researcher Adds New Findings in the Area of Machine Learn ing (From Data to Insight: Machine Learning Approaches for Fish Age Prediction i n European Hake)

    29-29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 to newsreporting from Volos, Greece, b y NewsRx journalists, research stated, “The European hake (Merlucciusmerluccius ) is a highly sought after, overfished commercial species with a high ecological value.”
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    Korkyt Ata Kyzylorda University Researchers Report on Findings in Machine Learni ng [Predicting LAN switch failures: An integrated approach wi th DES and machine learning techniques (RF/LR/DT/SVM)]

    30-31页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on artificial intelligence are discussed in a new report. According to news reporting out of Korkyt Ata Kyzylor da University by NewsRx editors, research stated, “This research paper introduces an innovative approach to predicting failures in Local Area Network (LAN) swit ches, combining DoubleExponential Smoothing (DES) with a suite of Machine Learn ing (ML) algorithms including Random Forest(RF), Logistic Regression (LR), Deci sion Trees (DT), and Support Vector Machines (SVM). The primaryobjective of thi s study is to enhance the accuracy and timeliness of LAN switch failure predicti ons, therebyfacilitating more proactive and effective network management.”
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    Study Findings from Tabriz Islamic Art University Provide New Insights into Mach ine Learning (Experimental and Machine Learning Study on Friction Stir Surface A lloying in Al1050-Cu Alloy)

    30-30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 ar tificial intelligence. According to news reportingout of Tabriz, Iran, by NewsR x editors, research stated, “This study employs friction stir processing tocrea te a surface alloy using Al1050 aluminum as the base material, with Cu powder ap plied to enhancesurface properties.”
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    Data on Machine Learning Detailed by Researchers at Carleton University (Improvi ng EKF-Based IMU/GNSS Fusion Using Machine Learning for IMU Denoising)

    31-32页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in artificial intelli gence. According to news reporting from Ottawa,Canada, by NewsRx journalists, r esearch stated, “In the realm of navigation systems, Inertial MeasurementUnit ( IMU) sensors play a pivotal role. The advent of Micro-Electro-Mechanical System (MEMS) sensorshas introduced a lightweight and cost-effective alternative for I MUs.”
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    Researchers at Universiti Malaya Zero in on Machine Learning (Cognitive radio an d machine learning modalities for enhancing the smart transportation system: A s ystematic literature review)

    32-33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 ar tificial intelligence. According to news reportingout of Kuala Lumpur, Malaysia , by NewsRx editors, research stated, “Smart transportation systemsimplemented through vehicular ad hoc networks (VANET) offer significant potential to improve safety.”Funders for this research include Ministry of Higher Education, Malaysia.
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    Charles Darwin University Researchers Provide New Data on Intelligent Systems (E nhancing smart grid load forecasting: An attentionbased deep learning model int egrated with federated learning and XAI for security and interpretability)

    33-34页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in intelligent systems. According to news reportingout of Charles Darwin Universit y by NewsRx editors, research stated, “Smart grid is a transformativeadvancemen t that modernized the traditional power system for effective electricity managem ent, andinvolves optimized energy distribution by load forecasting. Precise loa d forecasting provides the bestutilization of energy resources and increases su stainability.”
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    Research Findings from University of Strathclyde Update Understanding of Machine Learning (Integrating Machine Learning with Machine Parameters to Predict Plast ic Part Quality in Injection Moulding)

    34-35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 reportingfrom the University of Strathclyd e by NewsRx journalists, research stated, “The plastic injection mouldingproces s is a critical manufacturing technique renowned for its high productivity, cost -effectiveness, andability to produce intricate plastic components for various industries including medical and aerospace.”
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    Data on Support Vector Machines Reported by Researchers at Yanshan University (I mproved Pso-svm-based Fault Diagnosis Algorithm for Wind Power Converter)

    35-36页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing - Support Vector Machines. Accordingto news reporting out of Qinhuangdao, P eople’s Republic of China, by NewsRx editors, research stated,“Due to the compl exity of the working environment of wind power generation systems, wind turbine powerconverters (WPC) can experience different types of faults. Traditional fau lt diagnosis methods suffer fromissues such as the need for additional hardware , low accuracy, long execution time, and applicability onlyto small sample offl ine fault diagnosis.”
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    Data from Swiss Federal Institute of Technology Lausanne Advance Knowledge in Ma chine Learning (Cloudprophet: a Machine Learning-based Performance Prediction fo r Public Clouds)

    36-37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 from Lausanne, Switzerl and, by NewsRx correspondents, research stated, “Computing servershave played a key role in developing and processing emerging compute-intensive applications i n recent years.Consolidating multiple virtual machines (VMs) inside one server to run various applications introducessevere competence for limited resources a mong VMs.”
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