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961
GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection
Published 2025-06-01“…Traditional YOLO-series algorithms encounter challenges such as poor robustness in small object detection and significant interference from complex backgrounds. …”
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962
Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments
Published 2025-01-01“…To address these issues, we propose an effective ship detection algorithm—Ship Detection Transformer (Ship-DETR). …”
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963
Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion
Published 2025-07-01“…The experimental results show that the proposed scheme is robust to most typical post-processing operations, including additive noise, compression, median filtering, resampling, re-quantization, and low-pass filtering, etc al. In addition, our method shows better performance in the detection of forged audio with multiple attacks. …”
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964
ZZ-YOLOv11: A Lightweight Vehicle Detection Model Based on Improved YOLOv11
Published 2025-05-01“…Firstly, the current mainstream target detection algorithms lack components to improve the network’s focus on the edges of the objects, which can indirectly lead to unclear classification and localization. …”
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965
A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection
Published 2025-05-01“…This approach filtered out redundant information, and optimized both computational efficiency and memory usage.ResultsOur algorithm achieved a detection accuracy of 99.45%, outperforming other commonly-used PVC detection algorithms.DiscussionBy integrating MTF and BiFormer, we effectively detected PVCs, facilitating an increased convergence between medicine and deep learning technology. …”
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966
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967
Enhanced Hybrid Detection Technique for Minimum Mean Square Equalizer in Uplink Massive MIMO Systems
Published 2024-12-01“…Then, the CG iteration algorithm terminates the calculations for the rest of the iterations. …”
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968
FCDNet: A Lightweight Network for Real-Time Wildfire Core Detection in Drone Thermal Imaging
Published 2025-01-01“…With the advancement of drones and remote sensing technology, infrared cameras have become essential for wildfire detection. However, as the demand for higher accuracy in detection algorithms grows, the detection model’s size and computational costs increase, making it challenging to deploy high-precision detection algorithms on edge computing devices onboard drones for real-time fire detection. …”
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969
MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection
Published 2025-12-01“…Addressing the paucity of automated systems for the detection of dead poultry within large-scale agricultural settings, characterized by the onerous and time-consuming manual inspection processes, this study introduces an enhanced YOLO algorithm with multi-source image fusion (MIF-YOLO) for the autonomous identification of dead chicken. …”
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970
An Intrusion Detection Model Based on Feature Selection and Improved One-Dimensional Convolutional Neural Network
Published 2023-01-01“…Traditional machine learning techniques to intrusion detection rely on expert experience to choose features, and deep learning approaches have a low detection efficiency. …”
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971
Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method
Published 2025-02-01“…Cloud detection constitutes a pivotal task in remote sensing preprocessing, yet detecting cloud boundaries and identifying thin clouds under complex scenarios remain formidable challenges. …”
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972
Attention-Based LiDAR–Camera Fusion for 3D Object Detection in Autonomous Driving
Published 2025-05-01“…To address the challenges of cross-modal feature interaction in LiDAR–image fusion and the low recognition efficiency/positioning accuracy of traffic participants in dense traffic flows, this study proposes an attention-based 3D object detection network integrating point cloud and image features. …”
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973
Improved Cd Detection in Rice Grain Using LIBS with Husk-Based XGBoost Transfer Learning
Published 2024-11-01“…The results indicate that the transfer learning method not only improves the detection capability for low Cd content in rice but also provides new insights for food safety detection.…”
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974
Deep learning-based framework for Mycobacterium tuberculosis bacterial growth detection for antimicrobial susceptibility testing
Published 2025-01-01“…Automated Mycobacterial Growth Detection Algorithm (AMyGDA) is a software package that uses image processing techniques to read plates, but struggles with plates that exhibit low growth or images of low quality. …”
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975
A Multi-Index Fusion Adaptive Cavitation Feature Extraction for Hydraulic Turbine Cavitation Detection
Published 2025-04-01“…The detection accuracy rate and false alarm rate were used as evaluation indicators, and the comparison results showed that the proposed method has high detection accuracy and a low false alarm rate.…”
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976
Infrared Small Target Detection via Modified Fast Saliency and Weighted Guided Image Filtering
Published 2025-07-01“…Considering that many state-of-the-art (SOTA) methods are still unable to suppress various edges satisfactorily, especially under complex backgrounds, an effective infrared small target detection algorithm inspired by modified fast saliency and the weighted guided image filter (WGIF) is presented in this paper. …”
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977
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978
An Attention-Enhanced 3D-CNN Framework for Spectrogram-Based EEG Analysis in Epilepsy Detection
Published 2025-01-01Get full text
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979
LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection
Published 2025-01-01“…This article introduces lightweight arc fault detection network (LArcNet), a novel, lightweight, and rapid-response algorithm for series ac arc fault detection. …”
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980
The Lightweight Method of Ground Penetrating Radar (GPR) Hidden Defect Detection Based on SESM-YOLO
Published 2025-07-01“…Ground Penetrating Radar (GPR) is a high-resolution nondestructive technique for detecting subsurface defects, yet its image interpretation suffers from strong subjectivity, low efficiency, and high false-alarm rates. …”
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