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Capacity Compensation Price Accounting of Coal-Fired Units Under the Background of New Power System
Published 2025-02-01Get full text
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Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses
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784
Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients
Published 2020-01-01Get full text
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785
Enhancing concealed object detection in active THz security images with adaptation-YOLO
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Research on vehicle feature recognition algorithm based on optimized convolutional neural network
Published 2023-10-01“…To address the issue of weak identification and low accuracy in recognizing features of target vehicles at different distances in road scene images, a vehicle feature recognition algorithm based on optimized convolutional neural network (CNN) was proposed.Firstly, a multi-scale input based on the PAN model was employed to capture target vehicle features at varying distances.Subsequently, improvements were made to the network model by incorporating multi-pool, batch normalization (BN) layers, and Leaky ReLU activation functions within the CNN architecture.Furthermore, the generalization ability of the network model was enhanced by introducing a hybrid attention mechanism that focuses on important features and regions in the vehicle image.Lastly, a multi-level CNN structure was constructed to achieve feature recognition for vehicles.Simulation experiment results conducted on the BIT-Vehicle database within a single scene show the proposed algorithm’s significant enhancements in single-object and multi-object recognition rates compared to CNN, R-CNN, ABC-CNN, Faster R-CNN, AlexNet, VGG16, and YOLOV8.Specifically, improvements of 16.75%, 10.9%, 4%, 3.7%, 2.46%, 1.3%, and 1% in single-object recognition, as well as 17.8%, 10.5%, 2.5%, 3.8%, 2.7%, 1.1%, and 1.3% in multi-object recognition, have been demonstrated by the proposed algorithm, respectively.Over the more complex UA-DETRAC datasets, more precise results have been also achieved by the proposed algorithm in recognizing target vehicles at various distances compared to other algorithms.…”
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Mitochondrial insights on antidiabetic therapies: Differential impacts of SGLT2i, GLP-1, and insulin
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Knowledge of COVID-19 and the psychological status of parents: a retrospective survey in Wuhan, Hubei
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Influence of Heat- and Cold-Stressed Raw Milk on the Stability of UHT Milk
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An EEG dataset for interictal epileptiform discharge with spatial distribution information
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Visualizing stepwise evolution of carbon hybridization from sp 3 to sp 2 and to sp
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