Issues like low vision and the distortion of spectral and spatial information in photographs can be brought on by unfavorable atmospheric circumstances including smog, rain, overcast sky, fog, and smoke. This piece lo...
详细信息
As the number of data intensive and distributed applications increase, data centers are highly utilized for their storage, processing and accessing. These applications cause throughput sensitive incast traffic in the ...
详细信息
Recent years have witnessed remarkable progress in the development of large vision-language models (LVLMs). Benefiting from the strong language backbones and efficient cross-modal alignment strategies, LVLMs exhibit s...
详细信息
Long Short-Term Memory (LSTM) networks have garnered interest for their ability to remember temporal relations in sequential input. This research employs LSTM networks to estimate prices, which is crucial for stock ma...
详细信息
Covert communication can hide the information transmission process and prevent the communication behavior from being detected by eavesdroppers. In this paper, we propose a multi-antenna underlay cognitive radio networ...
详细信息
A group intruder detection system built on K-Nearest Neighbors, Decision Trees, Neural Networks, Support Vector Machines, and Random Forests is shown in this study. A thorough study on ablation shows how the algorithm...
详细信息
With the development of Internet technology, the industrial Internet has penetrated into all aspects of human life, bringing great convenience to human beings. However, the challenge of network security is becoming in...
详细信息
With the amazing development of deep learning, more and more research apply it to the field of computer vision in recent years. However, most object detection networks are difficult to apply in our real life because o...
详细信息
In the rapidly evolving world of wireless cellular network, optimizing key parameters like data throughput and latency is of critical importance for ensuring high quality communication services. The proposed presents ...
详细信息
Crowdsourcing has become a popular paradigm for collecting large-scale labeled datasets by leveraging numerous annotators. However, these annotators often provide noisy labels due to varying expertise. Truth inference...
详细信息
暂无评论