Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES

Joint Queue-Aware and Channel-Aware Scheduling for Non-Orthogonal Multiple Access

Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort

Machine Learning and Deep Learning for Throughput Prediction

Q-greedyUCB: a New Exploration Policy to Learn Resource-Efficient Scheduling

Prediction of Head Movement in 360-Degree Videos Using Attention Model

Reinforcement Learning for Random Access in Multi-cell Networks

Learning to Schedule Network Resources Throughput and Delay Optimally Using Q(+)-Learning

An Inter-Data Encoding Technique that Exploits Synchronized Data for Network Applications

Delay-Optimal and Energy-Efficient Communications With Markovian Arrivals