Advancing Traffic Flow Prediction: A Comprehensive Approach to Addressing Urban Congestion and Dynamic Transport Challenges
A Hybrid Computational Framework for Enhance Wind Power Forecasting Using Improved Akima-Empirical Mode Decomposition and Deep Neural Networks in Smart Grid Applications
A Novel Network Intrusion Detection Based on Variational Long Short-Term Memory and Federated Learning Under Cloud Computing Environment
Machine Learning for Seismic Bump Prediction: A Comparative Study of Different Algorithms and Features
Sensory Transfer Learning of Cultural Imagery by Integrating Text Sentiment Mining with Cross-regional Pattern Design
The Dynamic Correlation between News Sentiment and Housing Price Volatility: A Heterogeneity Perspective
Spatiotemporal pattern analysis of land use in Jiangsu Province based on long-term time series remote sensing images
Simulation Study: Trajectory Tracking Control of Parafoil System Based on Deep Reinforcement Learning
Interval Prediction of Landslide Displacement Using a Pretrained Large Time Series Model Based on Large-scale Cross-domain Data
Mobile robot visual image hierarchical matching algorithm based on deep reinforcement learning and orthogonal matching pursuit
