IEEE

Air Quality Prediction Based on Time Series Decomposition and Convolutional Sparse Self-Attention Mechanism Transformer Model

Abstract: This study introduces an innovative air quality prediction model, TD-CS-Transformer, which fuses time series decomposition and convolutional sparse self-attention Transformer model. It ...
GitHub

Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance

This repository presents Reinforcement Learning Guidance (RLG), an innovative inference-time method designed to enhance and control the alignment of diffusion models. RLG builds upon the widely used ...
BMJ

Shifting patterns in emergency department attendance: a time series analysis

Background Rising demand and limited capacity in primary care are often cited as reasons for the increasing pressure on emergency departments (EDs). The COVID-19 pandemic further strained but also ...
IEEE

TSB-Forecast: A Short-Term Load Forecasting Model in Smart Cities for Integrating Time Series Embeddings and Large Language Models

Abstract: In smart cities, energy management systems are essential for efficient resource utilization, enhanced operational efficiency, and sustainability promotion. This work presents a novel load ...