A5043120607- Image Enhancement Techniques
- Fire Detection and Safety Systems
- Adenosine and Purinergic Signaling
- Endoplasmic Reticulum Stress and Disease
- Image Retrieval and Classification Techniques
- Image and Object Detection Techniques
- Cytomegalovirus and herpesvirus research
- Fire dynamics and safety research
- Handwritten Text Recognition Techniques
- Video Analysis and Summarization
- Extracellular vesicles in disease
- Advanced Image Fusion Techniques
- Domain Adaptation and Few-Shot Learning
- Helicobacter pylori-related gastroenterology studies
- Advanced Sensor and Control Systems
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Advanced Neural Network Applications
- Sirtuins and Resveratrol in Medicine
- Visual Attention and Saliency Detection
- Gut microbiota and health
- IoT-based Smart Home Systems
- Cryptography and Data Security
- Phagocytosis and Immune Regulation
- Immune cells in cancer
Southern University of Science and Technology
2025
Jilin University
2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2025
Peking Union Medical College Hospital
2025
Shanghai Institute of Organic Chemistry
2025
Chinese Academy of Sciences
2025
Beijing Union University
2024
National University of Defense Technology
2024
The current fire-detection methods rely primarily on smoke and temperature detection, which are generally performed in the late stage of fire thus cannot provide a timely reminder early fire. continuous development artificial intelligence has enabled machine-vision detection. This study proposes convolutional neural network target-detection algorithm, i.e., You Only Look Once version 4 (YOLOv4), to detect small targets. It offers outstanding characteristics enables scenic-spot monitoring via...
Images captured under low-light conditions are often plagued by several challenges, including diminished contrast, increased noise, loss of fine details, and unnatural color reproduction. These factors can significantly hinder the performance computer vision tasks such as object detection image segmentation. As a result, improving quality images is paramount importance for practical applications in domain.To effectively address these we present novel enhancement model, termed Spatial...