A novel mid- and long-term time-series forecasting framework for electricity price based on hierarchical recurrent neural networks.

Process Monitoring Based on Temporal Feature Agglomeration and Enhancement.

Adaptive Temporal-Frequency Network for Time-Series Forecasting.

Force feedback controls of multi-gripper robotic endovascular intervention: design, prototype, and experiments.

IoT-Enabled Service for Crude-Oil Production Systems Against Unpredictable Disturbance.

Dynamic gesture recognition by directional pulse coupled neural networks for human-robot interaction in real time.

Latent Fingerprint Segmentation Based on Ridge Density and Orientation Consistency.

Classification of Alzheimer's Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images.

A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application.

Data-based multiple criteria decision-making model and visualized monitoring of urban drinking water quality.

Soft sensing modeling based on support vector machine and Bayesian model selection.