| Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes | Apr 22, 2021 | BIG-bench Machine LearningPhysics-informed machine learning | —Unverified | 0 | 0 |
| Causal Feature Selection via Transfer Entropy | Oct 17, 2023 | Causal Discoveryfeature selection | —Unverified | 0 | 0 |
| Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research | Sep 23, 2023 | AutoMLTime Series | —Unverified | 0 | 0 |
| Enhancing Peak Network Traffic Prediction via Time-Series Decomposition | Mar 9, 2023 | PredictionTime Series | —Unverified | 0 | 0 |
| A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting | May 30, 2019 | Air Pollution PredictionPrediction | —Unverified | 0 | 0 |
| Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series | May 16, 2025 | Anomaly DetectionGenerative Adversarial Network | —Unverified | 0 | 0 |
| Causal Disentanglement Hidden Markov Model for Fault Diagnosis | Aug 6, 2023 | DisentanglementDomain Adaptation | —Unverified | 0 | 0 |
| Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling | Mar 1, 2024 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 | 0 |
| Causal Discovery with Stage Variables for Health Time Series | May 5, 2023 | Causal DiscoveryCausal Inference | —Unverified | 0 | 0 |
| A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network | Dec 7, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 | 0 |
