LSTM-Oppurs: Opportunistic user recruitment strategy based on deep learning in mobile crowdsensing system

JOURNAL ARTICLE

Year: 2024 Journal: Future Generation Computer Systems Vol: 162 Pages: 107490-107490 Publisher: Elsevier BV

DOI: 10.1016/j.future.2024.107490

Keywords:

Computer science Crowdsensing Artificial intelligence Deep learning Human–computer interaction Data science

Metrics

Cited By

5.34

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Mobile Crowdsensing and Crowdsourcing

Physical Sciences → Computer Science → Computer Science Applications

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence