Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …

Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability
to explain the complex decision-making process of machine learning (ML) and deep …

This paper explores the transformative potential of Artificial Intelligence (AI) in personalizing
marketing strategies. It delves into the theoretical underpinnings of consumer engagement …

This paper delves into the theoretical underpinnings of agile methodologies and
investigates their potential to enhance customer satisfaction in digital banking. Theoretical …

This paper delves into theoretical frameworks in AI for credit risk assessment, exploring how
these frameworks enhance banking efficiency and accuracy. It discusses various AI …

This review critically examines the integration of Machine Learning (ML) in drug discovery,
highlighting its applications across target identification, hit discovery, lead optimization, and …

The intersection between art and technology poses new challenges for creative expression
in the digital space. This paper investigates the algorithmic censorship of artistic nudity in …

To effectively treat lung and colon cancer and save lives, early and accurate identification is
essential. Conventional diagnosis takes a long time and requires the manual expertise of …

Large language models (LLMs) are emerging artificial intelligence (AI) technology refining
research and healthcare. Their use in medicine has seen numerous recent applications …

As early as 1979, authors evoked the promise of Artificial Intelligence (AI) to provide
diagnostic and therapeutic recommendations for patients in the intensive care unit (ICU)[1] …