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 …

The aim of this systematic review is to synthesize and analyze interconnected monitoring
devices, interoperable digital avatars, and employee monitoring software. In this research …

We draw on a substantial body of theoretical and empirical research on workplace
collaboration software, synthetic training data, and employee engagement analytics. We …

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 …

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

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 …