This chapter delves into the innovative application of depth map analysis for enhancing the
interpretability of artificial intelligence (AI) decision-making processes. The increasing …

In the contemporary digital environment, the widespread occurrence of cyber risks requires
implementing proactive strategies to protect sensitive data and maintain the integrity of …

Support vector machines, in the field of machine learning, are supervised learning models
that examine data for classification and regression using learning methods that are …

Medical professionals identify and classify brain tumours to save lives. This innovative study
applies prominent machine learning classifiers to varied deep brain imaging features …

This study examines how digital human resource management (HRM) practises affect
academic performance through organisational commitment. Digital HRM concepts like …

This study explores AI-driven multimodal analysis of human behavior, a cutting-edge field
harnessing artificial intelligence, machine learning, and data fusion. These approaches offer …

An authenticated manager must reinforce huge applications and operating systems, keeping
information in the cloud while resisting potentially unreliable service providers. This article …

In the era of advanced technologies, education is undergoing a significant transformation,
with AI playing a crucial role. Intelligent systems are revolutionizing the learning process …

Music streaming services have made it easy to access a wide variety of music, but there is
still room for improvement in customization and emotion-based suggestions. Users often rely …

Chronic kidney disease (CKD) provides significant challenges to healthcare management,
requiring precise prediction techniques for early detection and treatment. Traditional …