Learning Classifier Systems (LCS) represent an innovative family of rule-based machine learning methodologies that combine reinforcement learning with evolutionary computing to produce adaptive, ...
The Ministry of Public Health (MoPH) has launched the Qatar Patient Safety Classification as part of its strategic ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Youngstown State University’s latest accomplishment places it among fewer than 300 colleges and universities across the ...
The University is one of only 277 institutions to earn distinction from the Carnegie Foundation for the Advancement of ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
The University of Texas at Arlington has been recognized with the 2026 Carnegie Elective Classification for Community ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...