Urban big data fusion based on deep learning: An overview
Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …
In recent years, various models and algorithms based on deep learning have been …
Location prediction on trajectory data: A review
R Wu, G Luo, J Shao, L Tian… - Big data mining and …, 2018 - ieeexplore.ieee.org
Location prediction is the key technique in many location based services including route
navigation, dining location recommendations, and traffic planning and control, to mention a …
navigation, dining location recommendations, and traffic planning and control, to mention a …
Hybrid decision tree-based machine learning models for short-term water quality prediction
Water resources are the foundation of people's life and economic development, and are
closely related to health and the environment. Accurate prediction of water quality is the key …
closely related to health and the environment. Accurate prediction of water quality is the key …
[PDF][PDF] Geoman: Multi-level attention networks for geo-sensory time series prediction.
Numerous sensors have been deployed in different geospatial locations to continuously and
cooperatively monitor the surrounding environment, such as the air quality. These sensors …
cooperatively monitor the surrounding environment, such as the air quality. These sensors …
DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction
Y Liu, C Gong, L Yang, Y Chen - Expert Systems with Applications, 2020 - Elsevier
Long-term prediction of multivariate time series is still an important but challenging problem.
The key to solve this problem is capturing (1) the spatial correlations at the same time,(2) the …
The key to solve this problem is capturing (1) the spatial correlations at the same time,(2) the …
Beyond binary labels: Political ideology prediction of Twitter users
D Preoţiuc-Pietro, Y Liu, D Hopkins… - Proceedings of the 55th …, 2017 - aclanthology.org
Automatic political orientation prediction from social media posts has to date proven
successful only in distinguishing between publicly declared liberals and conservatives in the …
successful only in distinguishing between publicly declared liberals and conservatives in the …
Spatio-temporal meta learning for urban traffic prediction
Predicting urban traffic is of great importance to intelligent transportation systems and public
safety, yet is very challenging in three aspects: 1) complex spatio-temporal correlations of …
safety, yet is very challenging in three aspects: 1) complex spatio-temporal correlations of …
Mobile edge computing based QoS optimization in medical healthcare applications
Emerging trends in mobile edge computing for developing the efficient healthcare
application such as, remote monitoring of the patients with central electronics clouds (e …
application such as, remote monitoring of the patients with central electronics clouds (e …
Dynamic ensemble selection for multi-class imbalanced datasets
Many real-world classification tasks suffer from the class imbalanced problem, in which
some classes are highly underrepresented as compared to other classes. In this paper, we …
some classes are highly underrepresented as compared to other classes. In this paper, we …
A novel multi-scale fusion framework for detail-preserving low-light image enhancement
Y Xu, C Yang, B Sun, X Yan, M Chen - Information Sciences, 2021 - Elsevier
In this paper, we propose a novel multi-scale fusion framework for low-illumination image
enhancement, which effectively enhances images taken under various low-light conditions …
enhancement, which effectively enhances images taken under various low-light conditions …