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    New Findings on Machine Learning from Nanjing Forestry University Summarized (Toward the Balance Between Computational Cost and Model Performance for the Void Detection of Concrete-filled Steel Tubular Structure Using One-dimensional …)

    48-49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 Machine Learning. According to news reportingout of Jiangsu, People’s Republic of China, by NewsRx editors, research stated, “Deep learning (DL)based percussion-acoustic methods have gained attention, but their multi-layer architectures and iterativeprocesses increase computational time and power. This paper proposes a lightweight concrete-filled steeltubular (CFST) void detection method using Mel-frequency cepstral coefficient (MFCC) algorithm andensemble machine learning.”

    New Field Robotics Findings from Tianjin University Described (Formation Tracking Control for an Air-ground System Under Position Deviations and Wind Disturbances)

    49-50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 Robotics - Field Robotics. According to newsoriginating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “In thispaper, a formation tracking control strategy based on a leader-follower structure is investigated underposition deviations and wind disturbances for an air-ground system. A backstepping controller is designedto achieve the expected trajectory-tracking performance for the leader which is a car-like vehicle.”

    Centre Hospitalo-Universitaire de Toulouse Reports Findings in Artificial Intelligence (Artificial intelligence-based prediction models for acute myeloid leukemia using real-life data: A DATAML registry study)

    50-50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 Intelligence is the subject of a report. According to newsreporting originating in Toulouse, France, by NewsRx journalists, research stated, “We designed artificialintelligence-based prediction models (AIPM) using 52 diagnostic variables from 3687 patients included inthe DATAML registry treated with intensive chemotherapy (IC, N = 3030) or azacitidine (AZA, N = 657)for an acute myeloid leukemia (AML). A neural network called multilayer perceptron (MLP) achieved aprediction accuracy for overall survival (OS) of 68.5% and 62.1% in the IC and AZA cohorts, respectively.”

    University of Suleyman Demirel Researchers Further Understanding of Machine Learning (Real-Time Intelligent Anomaly Detection and Prevention System)

    51-52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 artificial intelligence. According to news reportingfrom the University of Suleyman Demirel by NewsRx journalists, research stated, “Real-time anomalydetection in network traffic is a method that detects unexpected and anomalous behaviour by identifying normal behaviour and statistical patterns in network traffic data. This method is used to detect potentialattacks or other anomalous conditions in network traffic.”

    New Findings from PES University Describe Advances in Machine Learning (The Network Slicing and Performance Analysis of 6G Networks using Machine Learning)

    51-51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 newsoriginating from Belagavi, India, by NewsRx correspondents, research stated, “6G technology is designedto provide users with faster and more reliable data transfer as compared to the current 5G technology. 6Gis rapidly evolving and provides a large bandwidth, even in underserved areas.”

    New Findings from Wayne State University in Machine Learning Provides New Insights (Unraveling the Effect of Single Atom Catalysts On the Charging Behavior of Nonaqueous Mg-co2 Batteries: a Combined Density Functional Theory and …)

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Detroit, Michigan, by NewsRx correspondents, research stated, “This study integratesdensity functional theory (DFT) and machine learning (ML) methodologies to investigate the chargingperformance and catalyst design principles of porphyrin-supported single atom catalysts (SACs) based on3d and 4d transition metals (TMs) in the context of nonaqueous Mg-CO2 batteries. Specifically, we utilizeDFT calculations to elucidate the adsorption energies of the primary discharge product, MgCO3, on SACssupported on NxSy (where x = 4, 3, 2 and y = 0, 1, 2, respectively) moieties of porphyrin.”

    New Findings from University of Malaya in the Area of Machine Learning Described (Automotive Manufacturing Firms and Their Usage of Machine Learning to Drive Efficiency in Asia)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news originatingfrom the University of Malaya by NewsRx correspondents, research stated, “Objective - Rapid innovationand globalization have generated large opportunities, and also choices in the marketplace for firms andcustomers.”

    Data on Machine Learning Reported by Researchers at National Technical University of Athens (Application of Machine Learning Regression Models To Inverse Eigenvalue Problems)

    54-55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 reportingfrom Athens, Greece, by NewsRx journalists, research stated, “In this work, we study the numerical solutionof inverse eigenvalue problems from a machine learning perspective. Two different problems are considered:the inverse Sturm-Liouville eigenvalue problem for symmetric potentials and the inverse transmissioneigenvalue problem for spherically symmetric refractive indices.”

    East China University of Science and Technology Reports Findings in Synthetic Biology (Towards a hybrid model-driven platform based on flux balance analysis and a machine learning pipeline for biosystem design)

    55-56页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Synthetic Biology is the subject of a report. Accordingto news originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated,“Metabolic modeling and machine learning (ML) are crucial components of the evolving next-generationtools in systems and synthetic biology, aiming to unravel the intricate relationship between genotype,phenotype, and the environment. Nonetheless, the comprehensive exploration of integrating these twoframeworks, and fully harnessing the potential of fluxomic data, remains an unexplored territory.”

    Research from Babes-Bolyai University Broadens Understanding of Artificial Intelligence (Determining the Temperature Using Natural Frequencies and Artificial Intelligence)

    56-56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 artificial intelligence. According to news reportingfrom Babes-Bolyai University by NewsRx journalists, research stated, “The current paper explores a novelapproach for determining temperature variations by integrating the modal parameters and AI techniques.”