Abstract: The aim of this paper is to investigate the efficacy of ensemble learning techniques in convolutional neural network (CNN) models for gastrointestinal disease classification using the Kvasir ...

Abstract: Producing executable code from natural-language directives via Large Language Models (LLMs) involves obstacles like semantic uncertainty and the requirement for task-focused context ...