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Optimizing Convolution Operations for YOLOv4-based Object Detection on GPU
Published 2024-01-01“…This study examines the performance of YOLOv4 [3] for real-time object detection on an embedded architecture. We focus on optimizing the computationally intensive convolution operations by employing the cuDNN library to achieve efficient inference. …”
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Models and Algorithms of Conflict Detection and Scheduling Optimization for High-Speed Train Operations Based on MPC
Published 2018-01-01“…In order to improve the capability, this paper mainly explores the models and algorithms of conflict detection and scheduling optimization of high-speed train operations. …”
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NHPP Software Reliability Model with Rayleigh Fault Detection Rate and Optimal Release Time for Operating Environment Uncertainty
Published 2024-11-01“…Further, whereas the existing models applied to the cost model do not change after a certain operation period, the proposed model yields changes in release time even for long operating periods.…”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection
Published 2025-01-01“…To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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Optimization of pathogen detection in abscess specimens: a 6-year retrospective study
Published 2025-07-01Get full text
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Enhancing Wi-Fi 7: Traffic Flow Intelligence and Multi-Link Operation for Optimal Efficiency
Published 2025-01-01“…Our solution utilizes machine learning to detect latency-sensitive applications with up to 99% accuracy and optimizes link settings based on the Quality of Experience (QoE) of the user relative to the application, detected by our QoE Monitoring Classifier with 99.7% recall for bad QoE and 88% accuracy overall. …”
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Innovative framework for fault detection and system resilience in hydropower operations using digital twins and deep learning
Published 2025-05-01“…This study presents an innovative framework combining Digital Twin technology with Deep Learning to enhance fault detection, optimize operations, and improve system resilience. …”
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Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection
Published 2025-01-01“…By using projection operators to optimize the background dictionary, we overcome the limitations of traditional methods that rely on static dictionaries. …”
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Research of Rail Application Geometrical Parameter Calculation
Published 2015-01-01Subjects: Get full text
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DEVELOPMENT OF A MODEL TO OPTIMIZE THE OPERATIONAL RISKS FOR THE ENTERPRISE
Published 2022-05-01“…The problem of development of the model optimization of operational risks, the risks accompanying the direct activity of the enterprise, it becomes especially important.…”
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Optimization of Parameters and Comparison of Detection Signals for Planar Coil Particle Detection Sensors with Different Core Materials
Published 2024-12-01“…In this study, we present a magnetic-core-type planar coil particle detection sensor. The detection accuracy and detection limit are improved by optimizing the magnetic field inside the sensor. …”
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An islanding detection method for grid-connect inverter based on parameter optimized variational mode decomposition and deep learning
Published 2025-04-01“…To address the drawbacks of active methods and passive methods, an intelligent islanding detection strategy based on parameter-optimized variational mode decomposition (VMD) and deep learning was developed. …”
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Novel shortcut strategies in copositivity detection: Decomposition for quicker positive certificates
Published 2025-06-01Get full text
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Optimizing operational efficiency in the footwear industry through continuous audit monitoring
Published 2025-04-01“…Based on these findings, it is concluded that the design of a continuous audit monitoring system will optimize the operational efficiency of the footwear industry by strengthening internal controls, automating data analysis and early detection of irregularities, provided that its implementation is regular. …”
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Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer
Published 2025-08-01“…In this study, a dataset of 1000 images of patients had published which will be preprocessed with contrast enhancement, noise reduction and data augmentation (like rotation, flipping and cropping) to generate the robust targeted model for oral cancer detection. The experimental results are evaluated against benchmark performance measures (accuracies, precision, recall, F1-score and area under the receiver operating characteristic (ROC) curve (AUC-ROC). …”
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Detection and Tracking of Environmental Sensing System for Construction Machinery Autonomous Operation Application
Published 2025-07-01“…The superiority of the optimized detection model is verified through real-time target detection tests at different speeds and under different states. …”
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