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    Data on Artificial Intelligence Reported by Researchers at College of Engineering and Technology (Blockchain and Artificial Intelligence: Scientometric Analysis and Visualization)

    66-66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 originatingfrom Cairo, Egypt, by NewsRx correspondents, research stated, “Integrating Artificial Intelligence (AI) withBlockchain Technology (BT) is deemed the fourth generation of BT applications (Blockchain 4.0). Thisgeneration has gained considerable attention from the research community.”

    Findings on Robotics Detailed by Investigators at Chongqing University (6d Pose Estimation Based On 3d Edge Binocular Reprojection Optimization for Robotic Assembly)

    67-67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 Robotics is now available. According to news reporting originatingin Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Accurate 6D poseestimation of object is important for robot assembly. This letter presents a novel method for achievinghigh precision 6D pose estimation by exploiting the reprojection of 3D edges onto binocular RGB imagepairs.”

    Zhejiang Laboratory Reports Findings in Bacterial Infections and Mycoses (Clinical Timing-Sequence Warning Models for Serious Bacterial Infections in Adults Based on Machine Learning: Retrospective Study)

    68-69页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Bacterial Infections and Mycoses is the subject of a report. Accordingto news reporting originating from Hangzhou, People’s Republic of China, by NewsRx correspondents,research stated, “Serious bacterial infections (SBIs) are linked to unplanned hospital admissions and a highmortality rate. The early identification of SBIs is crucial in clinical practice.”

    Recent Findings from University of Ghent Has Provided New Information about Machine Learning (Mechanical Properties Prediction of Blast Furnace Slag and Fly Ash-based Alkali-activated Concrete By Machine Learning Methods)

    69-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning have been published. According to newsreporting originating in Ghent, Belgium, by NewsRx journalists, research stated, “In this paper, 871 datawere collected from literature and trained by the 4 representative machine learning methods, in order tobuild a robust compressive strength predictive model for slag and fly ash based alkali activated concretes.The optimum models of each machine learning method were verified by 4 validation metrics and furthercompared with an empirical formula and experimental results.”

    College of Petroleum Engineering and Geosciences Researchers Further Understanding of Machine Learning (Reservoir Property Prediction in the North Sea Using Machine Learning)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial intelligence have been published. According tonews originating from Dhahran, Saudi Arabia, by NewsRx editors, the research stated, “The North Seasedimentary basin is characterized by geological complexity, encompassing a wide range of rock types andstructures, including multiple reservoirs (carbonates and siliciclastic) with variations in reservoir quality andheterogeneity. These phenomena pose significant challenges for accurately predicting reservoir propertiesusing traditional well log analysis.”

    Nanjing Hydraulic Research Institute Researchers Release New Data on Machine Learning (Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization Methodology)

    71-72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 intelligence. According to news reporting originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Model parametersestimation is a pivotal issue for runoff modeling in ungauged catchments. The nonlinear relationshipbetween model parameters and catchment descriptors is a major obstacle for parameter regionalization,which is the most widely used approach.”

    Investigators from Yantai University Zero in on Intelligent Systems (Pseudo-partial-derivative Information-driven Adaptive Faulttolerant Tracking Control for Discrete-time Systems)

    72-72页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learning - Intelligent Systems have been published.According to news reporting out of Yantai, People’s Republic of China, by NewsRx editors, research stated,“The fault-tolerant tracking control problem is studied for the discrete-time systems with actuator faults. Tolessen adverse impacts of actuator fault, a PPD information-driven fault estimation algorithm is establishedto adaptively estimate actuator fault information online, which avoids the additional construction andtraining process of neural network.”

    University of Kragujevac Reports Findings in Migraine (Machine learning approach for Migraine Aura Complexity Score prediction based on magnetic resonance imaging data)

    73-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Primary Headache Diseases and Conditions - Migraine is the subject ofa report. According to news reporting out of Cacak, Serbia, by NewsRx editors, research stated, “Previousstudies have developed the Migraine Aura Complexity Score (MACS) system. MACS shows great potentialin studying the complexity of migraine with aura (MwA) pathophysiology especially when implemented inneuroimaging studies.”

    Recent Findings in Androids Described by Researchers from University of Portsmouth (Deep Temporal Model-based Identity-aware Hand Detection for Space Human-robot Interaction)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Androids have been published. According to newsreporting originating from Portsmouth, United Kingdom, by NewsRx correspondents, research stated,“Hand detection is a crucial technology for space human-robot interaction (SHRI), and the awarenessof hand identities is particularly critical. However, most advanced works have three limitations: 1) thelow detection accuracy of small-size objects; 2) insufficient temporal feature modeling between frames invideos; and 3) the inability of real-time detection.”

    Antwerp University Hospital Reports Findings in Artificial Intelligence (Artificial intelligence scoring of liver biopsies in a phase ii trial of semaglutide in non-alcoholic steatohepatitis)

    75-75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 news reportingout of Antwerp, Belgium, by NewsRx editors, research stated, “Artificial intelligence-powered digitalpathology offers the potential to quantify histologic findings in a reproducible way. This analysis comparesthe evaluation of histological features of non-alcoholic steatohepatitis (NASH) between pathologists and amachine learning (ML) pathology model.”