Deep learning-based natural language processing for detecting medical symptoms and histories in emergency patient triage

Multi-agent deep reinforcement learning for cross-layer scheduling in mobile ad-hoc networks

Multi-agent reinforcement learning for a random access game

Buffer-Aware Scheduling and Power Allocation for CoMP Transmission with Large-Scale Antennas

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

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

Learning to Schedule Network Resources Throughput and Delay Optimally using Q+-Learning

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

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

Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study