The advancement of Artificial Intelligence (AI) technology has accelerated the development
of several systems that are elicited from it. This boom has made the systems vulnerable to …

Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Abstract Machine learning (ML) techniques are often employed for the accurate prediction of
the compressive strength of concrete. Despite higher accuracy, previous ML models failed to …

Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

Large language models (LLMs) have exploded a new heatwave of AI for their ability to
engage end-users in human-level conversations with detailed and articulate answers across …

The field of explainable artificial intelligence (XAI) is gaining increasing importance in recent
years. As a consequence, several surveys have been published to explore the current state …

Hepatocellular carcinoma (HCC) currently represents the fifth most common malignancy and
the third-leading cause of cancer-related death worldwide, with incidence and mortality rates …

Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms
of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a …

Artificial Intelligence (AI) technology's rapid advancement has significantly changed various
industries' operations. This comprehensive review paper aims to provide readers with a …

Deep learning (DL) models have achieved impressive performance in various domains such
as medicine, finance, and autonomous vehicle systems with advances in computing power …