While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...
Abstract: In wireless communication systems, automatic modulation classification is crucial. In communication applications such as intelligent demodulators, interference detection, and monitoring, ...
Background: The diagnosis of occupational pneumoconiosis requires more accurate predictive models. The purpose of this study is to screen blood markers associated with early pneumoconiosis development ...
Objective: This study aims to identify the key risk factors for occupational exposure among oral healthcare workers and develop a predictive model using machine learning algorithms to lay the ...
Abstract: This research develops a sentiment classification model using machine learning to analyze textual data. It follows three stages: data collection, preprocessing, and model development. Using ...