A non-uniform low-light image enhancement method with multi-scale attention transformer and luminance consistency loss.

Integrating prior knowledge with deep learning for optimized quality control in corneal images: A multicenter study.

Design and Implementation of a Visual Logging and Automatic Modeling Tool for Camp Distribution Connection based on Deep Learning Algorithms.

A filter-augmented auto-encoder with learnable normalization for robust multivariate time series anomaly detection.

A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection.

An imbalanced contrastive classification method via similarity comparison within sample-neighbors with adaptive generation coefficient.

Research on long term power load grey combination forecasting based on fuzzy support vector machine.

Multivariate time series anomaly detection via separation, decomposition, and dual transformer-based autoencoder.

Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic.

Exploring best-matched embedding model and classifier for charging-pile fault diagnosis.

Optimizing graph layout by t-SNE perplexity estimation.

Self-Training Enabled Efficient Classification Algorithm: An Application to Charging Pile Risk Assessment.

Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia.

Examination of community sentiment dynamics due to covid-19 pandemic: a case study from Australia.

Topology-aware illumination design for volume rendering.

A multi-dimensional importance metric for contour tree simplification.

A concept of volume rendering guided search process to analyze medical data set.

An Approach for Resource Sharing in Multilingual NLP