A survey on deep learning for human mobility

M Luca, G Barlacchi, B Lepri… - ACM Computing Surveys …, 2021 - dl.acm.org
The study of human mobility is crucial due to its impact on several aspects of our society,
such as disease spreading, urban planning, well-being, pollution, and more. The …

A survey on next location prediction techniques, applications, and challenges

AG Chekol, MS Fufa - EURASIP Journal on Wireless Communications and …, 2022 - Springer
Next location prediction has recently gained great attention from researchers due to its
importance in different application areas. Recent growth of location-based service …

[PDF][PDF] Deep learning for human mobility: a survey on data and models

M Luca, G Barlacchi, B Lepri, L Pappalardo - arxiv preprint arxiv …, 2020 - iris.cnr.it
Urban population is increasing strikingly and human mobility is becoming more complex
and bulky, affecting crucial aspects of people lives such as the spreading of viral diseases …

A survey on service route and time prediction in instant delivery: Taxonomy, progress, and prospects

H Wen, Y Lin, L Wu, X Mao, T Cai, Y Hou… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Instant delivery services, such as food delivery and package delivery, have achieved
explosive growth in recent years by providing customers with daily-life convenience. An …

Deep learning for trajectory data management and mining: A survey and beyond

W Chen, Y Liang, Y Zhu, Y Chang, K Luo… - arxiv preprint arxiv …, 2024 - arxiv.org
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Exploring City Image Perception in Social Media Big Data through Deep Learning: A Case Study of Zhongshan City

L Su, W Chen, Y Zhou, L Fan - Sustainability, 2023 - mdpi.com
Based on Kevin Lynch's cognitive method of urban image and Weibo's review data, this
study constructs a research framework with three modules as the core: city image structure …

A survey on next-cell prediction in cellular networks: Schemes and applications

L Huang, L Lu, W Hua - IEEE Access, 2020 - ieeexplore.ieee.org
Mobility prediction is a powerful tool for network operators to optimize network performance.
From cell level, if network operators know the cells to which the users will be connected in …

Research on the Prediction System of Event Attendance in an Event‐Based Social Network

T Lan, L Guo, X Li, G Chen - Wireless Communications and …, 2022 - Wiley Online Library
In recent years, an event‐based social network recommendation system has attracted more
and more researchers' attention. Most EBSN recommendation systems mainly focus on …

User location prediction using hybrid birch clustering and machine learning approach

M Arora, S Agrawal, R Patel - Journal of Integrated Science …, 2024 - pubs.thesciencein.org
This paper discusses the importance of location prediction using machine learning methods
and its potential applications in various fields. The accuracy of these models is high, but they …

Agricultural Product Sales Prediction of ICM Neural Network Improvement by Sparse Autoencoder

YH Li - Scientific Programming, 2022 - Wiley Online Library
With the rapid development of agricultural product sales data, the traditional prediction
model cannot meet the processing needs. Based on deep learning theory, an improved ICM …