IEEE

Sludge Age Prediction Using Machine Learning (Deep Neural Network vs Deep Bi-LSTM Model)

Abstract: The Sludge Age (SAGE) is a significant operational parameter in activated sludge processes. However, precisely estimating it can be difficult due to non-linear data and changeable operating ...
IEEE

Context-Aware Retrieval Augmented Generation Using Similarity Validation to Handle Context ...

Abstract: Large Language Models (LLMs) have transformed natural language processing by offering human-like responses. However, issues such as incorrect information (hallucinations) and errors in ...
Frontiers

Integrating dynamic SOFA changes and age to predict 28-day mortality in ICU patients: a ...

1 Department of Pulmonary and Critical Care Medicine, Longgang Central Hospital of Shenzhen, Shenzhen, Guangdong, China 2 Department of Critical Care Medicine, Hebei Medical University Third Hospital, ...