Objective This paper presents an overview of generalizable and explainable artificial
intelligence (XAI) in deep learning (DL) for medical imaging, with the aim of addressing the …

Geopolymer concrete is a sustainable and eco-friendly substitute for traditional OPC
(Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions. With …

Climate change is a serious global issue causing more extreme weather patterns, resulting
in more frequent and severe events like urban flooding. This review explores the connection …

Streamflow forecasting is essential for effective water resource planning and early warning
systems. Streamflow and related parameters are often characterized by uncertainties and …

Streamflow forecasting is crucial for effective water resource planning and early warning
systems, especially in regions with complex hydrological behaviors and uncertainties. While …

Abstract Machine learning (ML) as a subset of artificial intelligence (AI), has gained
significant attention in wind engineering applications over the past decade. Wind load …

Conventional machine learning techniques in diagnosing cardiovascular disease have a
limitation owing to the lack of interpretability of models. This study utilised an explainable …

Multiple sclerosis (MS) is a multifaceted neurological condition characterized by challenges
in timely diagnosis and personalized patient management. The application of Artificial …

Background Mechanical ventilation (MV) is vital for critically ill ICU patients but carries
significant mortality risks. This study aims to develop a predictive model to estimate hospital …

Diabetes, as an incurable lifelong chronic disease, has profound and far-reaching effects on
patients. Given this, early intervention is particularly crucial, as it can not only significantly …