This study explores the comparative effectiveness of AI-driven user behavior analysis and
traditional security measures in cloud computing environments. It specifically examines their …

Federated learning (FL) has emerged as a decentralized, cutting-edge framework for
training models across distributed devices, such as smartphones, IoT devices, and local …

The integration of deep learning (DL) into image processing has driven transformative
advancements, enabling capabilities far beyond the reach of traditional methodologies. This …

The proliferation of the Internet of Things (IoT) has transformed the digital landscape,
enabling a vast array of interconnected devices to communicate and share data seamlessly …

Cultural diversity often complicates the understanding of sustainability, sometimes making
its concepts seem vague. This issue is particularly evident in food systems, which rely on …

The Internet of things (IoT) presents unique challenges for the deployment of machine
learning (ML) models, particularly due to constraints on computational resources, the …

Federated learning (FL) is considered a promising machine learning technique that has
attracted increasing attention in recent years. Instead of centralizing data in one location for …