39   Artículos

 
en línea
Yuhuan Wu and Yonghong Wu    
Salient object detection (SOD) aims to identify the most visually striking objects in a scene, simulating the function of the biological visual attention system. The attention mechanism in deep learning is commonly used as an enhancement strategy which e... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yu Zhang, Jiajun Niu, Zezhong Huang, Chunlei Pan, Yueju Xue and Fengxiao Tan    
An algorithm model based on computer vision is one of the critical technologies that are imperative for agriculture and forestry planting. In this paper, a vision algorithm model based on StyleGAN and improved YOLOv5s is proposed to detect sandalwood tre... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yuntao Shi, Hongfei Zhang, Wei Guo, Meng Zhou, Shuqin Li, Jie Li and Yu Ding    
This research proposes a face detection algorithm named LighterFace, which is aimed at enhancing detection speed to meet the demands of real-time community applications. Two pre-trained convolutional neural networks are combined, namely Cross Stage Parti... ver más
Revista: Information    Formato: Electrónico

 
en línea
Ziyi Li, Yang Li, Yanping Wang, Guangda Xie, Hongquan Qu and Zhuoyang Lyu    
With the rapid development of deep learning, more and more complex models are applied to 3D point cloud object detection to improve accuracy. In general, the more complex the model, the better the performance and the greater the computational resource co... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Chuanyun Wang, Linlin Meng, Qian Gao, Jingjing Wang, Tian Wang, Xiaona Liu, Furui Du, Linlin Wang and Ershen Wang    
Aiming at the problems of low detection accuracy and large computing resource consumption of existing Unmanned Aerial Vehicle (UAV) detection algorithms for anti-UAV, this paper proposes a lightweight UAV swarm detection method based on You Only Look Onc... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Shenghan Zhou, Tianhuai Wang, Linchao Yang, Zhao He and Siting Cao    
This paper aims to build a Self-supervised Fault Detection Model for UAVs combined with an Auto-Encoder. With the development of data science, it is imperative to detect UAV faults and improve their safety. Many factors affect the fault of a UAV, such as... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Han Gao, Zhangqin Huang, Xiaobo Zhang and Huapeng Yang    
As a narrowband communication technology, long-range (LoRa) contributes to the long development of Internet of Things (IoT) applications. The LoRa gateway plays an important role in the IoT transport layer, and security and efficiency are the key issues ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Austin Anderson, Petros Potikas and Katerina Potika    
Community detection has been (and remains) a very important topic in several fields. From marketing and social networking to biological studies, community detection plays a key role in advancing research in many different fields. Research on this topic o... ver más
Revista: Information    Formato: Electrónico

 
en línea
Xueping Song, Shuyu Zhang, Jianming Yang and Jicun Zhang    
Many security detectors do not have the ability to output individual luggage package images and are not compatible with deep learning algorithms. In this paper, a luggage package extraction of X-ray images based on the ES-MBD (Edge Sensitive Multi-channe... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Qixun Xiao, Wenying Zheng, Yifan He, Zijie Chen, Fanxin Meng and Liyan Wu    
The use of Internet of Things (IoT) technology for real-time monitoring of agricultural pests is an unavoidable trend in the future of intelligent agriculture. This paper aims to address the difficulties in deploying models at the edge of the pest monito... ver más
Revista: Agriculture    Formato: Electrónico

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