What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...
Abstract: To address the flexible assembly job shop scheduling problem, an improved differential evolution algorithm based on Q-Learning is proposed to optimize the makespan, the average product ...
AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...
Three academic perspectives offer insights on the persistent misconceptions about artificial intelligence in healthcare.
Abstract: This paper investigates the uncrewed aerial vehicles (UAVs) control problem at intersection passages for narrow channels formed by obstacles. A set of non-cooperative value functions is ...
Q-FlexiViT is evaluated on standard intrusion-detection datasets containing multiple attack types and normal traffic. Using ...
Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
Five years ago, the entire Texas power grid came within roughly four minutes of complete collapse. Now, Charles J Petrie, Jr. (M.S. and Ph.D. in Computer Science, ‘91) explores what could have been in ...
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