Rijun Wang
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View article: A YOLO-Based Multi-Scale and Small Object Detection Framework for Low-Altitude UAVs in Cluttered Scenes
A YOLO-Based Multi-Scale and Small Object Detection Framework for Low-Altitude UAVs in Cluttered Scenes Open
Low-altitude UAVs pose increasing security concerns due to their small sizes, high mobility, and low observability. Detecting such targets in cluttered environments remains challenging due to strong background interference and significant …
View article: Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks
Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks Open
Facial expressions involve dynamic changes, and facial expression recognition based on static images struggles to capture the temporal information inherent in these dynamic changes. The resultant degradation in real-world performance criti…
View article: YOLO11-PGM: High-Precision Lightweight Pomegranate Growth Monitoring Model for Smart Agriculture
YOLO11-PGM: High-Precision Lightweight Pomegranate Growth Monitoring Model for Smart Agriculture Open
As a vital cash crop, intelligent monitoring of pomegranate growth stages plays a crucial role in improving orchard management efficiency and yield. Current research on pomegranates primarily focuses on the detection and quality classifica…
View article: TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection
TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection Open
Introduction Tomatoes are one of the most economically significant crops worldwide, with their yield and quality heavily impacted by foliar diseases. Effective detection of these diseases is essential for enhancing agricultural productivit…
View article: FDD-YOLO: A Novel Detection Model for Detecting Surface Defects in Wood
FDD-YOLO: A Novel Detection Model for Detecting Surface Defects in Wood Open
Wood surface defect detection is a critical step in wood processing and manufacturing. To address the performance degradation caused by small targets and multi-scale features in wood surface defect detection, a novel deep learning model is…
View article: An Efficient and Accurate YOLO-Based Framework for Air-to-Air UAV Detection
An Efficient and Accurate YOLO-Based Framework for Air-to-Air UAV Detection Open
View article: Amsa-Yolo: Real-Time Object Detection with Adaptive Multi-Scale Attention Mechanism
Amsa-Yolo: Real-Time Object Detection with Adaptive Multi-Scale Attention Mechanism Open
View article: An Efficient and Accurate YOLO-Based Framework for Air-to-Air UAV Detection
An Efficient and Accurate YOLO-Based Framework for Air-to-Air UAV Detection Open
View article: Lightweight Segmentation Method for Wood Panel Images Based on Improved DeepLabV3+
Lightweight Segmentation Method for Wood Panel Images Based on Improved DeepLabV3+ Open
Accurate and efficient pixel-wise segmentation of wood panels is crucial for enabling machine vision technologies to optimize the sawing process. Traditional image segmentation algorithms often struggle with robustness and accuracy in comp…
View article: WPS-Dataset: A Benchmark for Wood Plate Segmentation in Bark Removal Processing
WPS-Dataset: A Benchmark for Wood Plate Segmentation in Bark Removal Processing Open
Wood plate bark removal processing is critical for ensuring the quality of wood processing and its products. To address the issue of lack of datasets available for the application of deep learning methods to this field, and to fill the res…
View article: Development and Testing of a Wood Panels Bark Removal Equipment Based on Deep Learning
Development and Testing of a Wood Panels Bark Removal Equipment Based on Deep Learning Open
Attempting to apply deep learning methods to wood panels bark removal equipment to enhance the quality and efficiency of bark removal is a significant and challenging endeavor. This study develops and tests a deep learning-based wood panel…
View article: DRR-YOLO: A Multiscale Wood Surface Defect Detection Method Based on Improved YOLOv8
DRR-YOLO: A Multiscale Wood Surface Defect Detection Method Based on Improved YOLOv8 Open
Wood surface defect detection technology offers the advantages of being non-destructive, rapid, accurate, and economical. It plays a crucial role in wood grade sorting, defect detection, improving the quality of sawn timber, and accelerati…
View article: SiM-YOLO: A Wood Surface Defect Detection Method Based on the Improved YOLOv8
SiM-YOLO: A Wood Surface Defect Detection Method Based on the Improved YOLOv8 Open
Wood surface defect detection is a challenging task due to the complexity and variability of defect types. To address these challenges, this paper introduces a novel deep learning approach named SiM-YOLO, which is built upon the YOLOv8 obj…
View article: An Efficient and Accurate Surface Defect Detection Method for Wood Based on Improved YOLOv8
An Efficient and Accurate Surface Defect Detection Method for Wood Based on Improved YOLOv8 Open
Accurate detection of wood surface defects plays a pivotal role in enhancing wood grade sorting precision, maintaining high standards in wood processing quality, and safeguarding forest resources. This paper introduces an efficient and pre…
View article: BPN-YOLO: A Novel Method for Wood Defect Detection Based on YOLOv7
BPN-YOLO: A Novel Method for Wood Defect Detection Based on YOLOv7 Open
The detection of wood defect is a crucial step in wood processing and manufacturing, determining the quality and reliability of wood products. To achieve accurate wood defect detection, a novel method named BPN-YOLO is proposed. The ordina…
View article: WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing
WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing Open
Using deep learning methods is a promising approach to improving bark removal efficiency and enhancing the quality of wood products. However, the lack of publicly available datasets for wood plate segmentation in bark removal processing po…
View article: WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing
WPS-Dataset: A benchmark for wood plate segmentation in bark removal processing Open
Using deep learning methods is a promising approach to improving bark removal efficiency and enhancing the quality of wood products. However, the lack of publicly available datasets for wood plate segmentation in bark removal processing po…
View article: Development and Testing of a Wood Panels Bark Removal Equipment Based on Deep Learning
Development and Testing of a Wood Panels Bark Removal Equipment Based on Deep Learning Open
View article: ODCA-YOLO: An Omni-Dynamic Convolution Coordinate Attention-Based YOLO for Wood Defect Detection
ODCA-YOLO: An Omni-Dynamic Convolution Coordinate Attention-Based YOLO for Wood Defect Detection Open
Accurate detection of wood defects plays a crucial role in optimizing wood utilization, minimizing corporate expenses, and safeguarding precious forest resources. To achieve precise identification of surface defects in wood, we present a n…
View article: Lightweight Facial Expression Recognition Based on Class-Rebalancing Fusion Cumulative Learning
Lightweight Facial Expression Recognition Based on Class-Rebalancing Fusion Cumulative Learning Open
In the research of Facial Expression Recognition (FER), the inter-class of facial expression data is not evenly distributed, the features extracted by networks are insufficient, and the FER accuracy and speed are relatively low for practic…
View article: Development of an Improved YOLOv7-Based Model for Detecting Defects on Strip Steel Surfaces
Development of an Improved YOLOv7-Based Model for Detecting Defects on Strip Steel Surfaces Open
The detection of defects on the surface is of great importance for both the production and the application of strip steel. In order to detect the defects accurately, an improved YOLOv7-based model for detecting strip steel surface defects …
View article: Data Augmentation in 2D Feature Space for Intelligent Weak Fault Diagnosis of Planetary Gearbox Bearing
Data Augmentation in 2D Feature Space for Intelligent Weak Fault Diagnosis of Planetary Gearbox Bearing Open
Quickly detecting and accurately diagnosing early bearing faults is the key to ensuring the stable operation of high-precision equipment. In actual industrial applications, it is common to face the issues of big data and poor fault identif…
View article: Correction to Dulaglutide Alleviates LPS-Induced Injury in Cardiomyocytes
Correction to Dulaglutide Alleviates LPS-Induced Injury in Cardiomyocytes Open
[This corrects the article DOI: 10.1021/acsomega.0c06326.].
View article: An Optimal Investigation of Convective Fluid Flow Suspended by Carbon Nanotubes and Thermal Radiation Impact
An Optimal Investigation of Convective Fluid Flow Suspended by Carbon Nanotubes and Thermal Radiation Impact Open
This study is focused towards analyzing the heat and flow movement among two stretching rotating disks inside water-based carbon nanotubes. The idea of thermal boundary conditions and heat convection is used and the system is expressed in …
View article: Wind Speed Reinforcement Correction Method for Numerical Weather Prediction Based on Rdpg Algorithm Considering Lateral and Longitudinal Error
Wind Speed Reinforcement Correction Method for Numerical Weather Prediction Based on Rdpg Algorithm Considering Lateral and Longitudinal Error Open
View article: Multinodes Interval Electric Vehicle Charging Load Forecasting Based on Joint Adversarial Generation
Multinodes Interval Electric Vehicle Charging Load Forecasting Based on Joint Adversarial Generation Open
View article: Dulaglutide Alleviates LPS-Induced Injury in Cardiomyocytes
Dulaglutide Alleviates LPS-Induced Injury in Cardiomyocytes Open
Dulaglutide alleviated LPS-induced injury in cardiomyocytes by inhibiting inflammation and oxidative stress.
View article: An Actuator Fault Detection and Reconstruction Scheme for Hex-Rotor Unmanned Aerial Vehicle
An Actuator Fault Detection and Reconstruction Scheme for Hex-Rotor Unmanned Aerial Vehicle Open
The detection and the reconstruction of actuator faults in a flight control system are crucial to avoid negative impacts on the aircraft itself, as well as human and environmental systems. In this paper, an actuator fault detection and rec…
View article: A Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise
A Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise Open
Strong background noise and complicated interfering signatures when implementing vibration-based monitoring make it difficult to extract the weak diagnostic features due to incipient faults in a multistage gearbox. This can be more challen…