Over the last couple of decades, community question‐answering sites (CQAs) have been a
topic of much academic interest. Scholars have often leveraged traditional machine learning …

Abstract Medical Visual Question Answering (VQA) is a combination of medical artificial
intelligence and popular VQA challenges. Given a medical image and a clinically relevant …

Transfer learning is an important step to extract meaningful features and overcome the data
limitation in the medical Visual Question Answering (VQA) task. However, most of the …

Abstract Machine learning (ML) and soft computing (SC) techniques have contributed
immensely towards improvisation of manufacturing, process and quality control, automation …

Graph neural network is a deep learning approach widely applied on structural and non-
structural scenarios due to its substantial performance and interpretability recently. In a non …

This paper explores the application of visual question answering (VQA) in bridge inspection
using recent advancements in multimodal artificial intelligence (AI) systems. VQA involves …

Medical visual question answering (VQA) aims to correctly answer a clinical question related
to a given medical image. Nevertheless, owing to the expensive manual annotations of …

Medical image visual question answering (VQA) is a task to answer clinical questions, given
a radiographic image, which is a challenging problem that requires a model to integrate both …

Background Visual question answering in medical domain (VQA-Med) exhibits great
potential for enhancing confidence in diagnosing diseases and helping patients better …

In intelligent education systems, one fundamental task is to predict student performance on
new exercises and estimate the knowledge proficiency of students on knowledge concepts …