International Journal of Web Information Systems: Volume 20 Issue 3

LCPCWSC: a Web service classification approach based on label confusion and priori correction

Lin Xue, Feng Zhang

With the increasing number of Web services, correct and efficient classification of Web services is crucial to improve the efficiency of service discovery. However, existing Web…

Chain-of-event prompting for multi-document summarization by large language models

Songlin Bao, Tiantian Li, Bin Cao

In the era of big data, various industries are generating large amounts of text data every day. Simplifying and summarizing these data can effectively serve users and improve…

TLN-LSTM: an automatic modulation recognition classifier based on a two-layer nested structure of LSTM network for extremely long signal sequences

Feng Qian, Yongsheng Tu, Chenyu Hou, Bin Cao

Automatic modulation recognition (AMR) is a challenging problem in intelligent communication systems and has wide application prospects. At present, although many AMR methods…

GraphQL response data volume prediction based on Code2Vec and AutoML

Feng Zhang, Youliang Wei, Tao Feng

GraphQL is a new Open API specification that allows clients to send queries and obtain data flexibly according to their needs. However, a high-complexity GraphQL query may lead to…

Web intelligence-enhanced unmanned aerial vehicle target search model based on reinforcement learning for cooperative tasks

Mingke Gao, Zhenyu Zhang, Jinyuan Zhang, Shihao Tang, Han Zhang, Tao Pang

Because of the various advantages of reinforcement learning (RL) mentioned above, this study uses RL to train unmanned aerial vehicles to perform two tasks: target search and…

PDMSC: privacy-preserving decentralized multi-skill spatial crowdsourcing

Zhaobin Meng, Yueheng Lu, Hongyue Duan

The purpose of this paper is to study the following two issues regarding blockchain crowdsourcing. First, to design smart contracts with lower consumption to meet the needs of…

Web-enhanced unmanned aerial vehicle target search method combining imitation learning and reinforcement learning

Tao Pang, Wenwen Xiao, Yilin Liu, Tao Wang, Jie Liu, Mingke Gao

This paper aims to study the agent learning from expert demonstration data while incorporating reinforcement learning (RL), which enables the agent to break through the…