This study explores the current challenges and future directions of Internet of Things (IoT) in
supply chains, focusing on the drivers and barriers to its adoption. It starts with a review of …

Artificial Intelligence (AI) refers to the intelligence demonstrated by machines, and within the
realm of AI, Machine Learning (ML) stands as a notable subset. ML employs algorithms that …

Federated learning (FL) is a collaborative artificial intelligence (AI) approach that enables
distributed training of AI models without data sharing, thereby promoting privacy by design …

The process of controlling the flow of products and services from a company by
encompassing each stage involved in transforming raw materials and parts into finished …

Transportation and warehousing are vital components of logistics corporations. Their
continuous uninterrupted functioning is of paramount significance for the enterprises …

The integration of blockchain technology in Internet of Things (IoT) environments is a
revolutionary step towards ensuring robust security and enhanced privacy. This paper …

Integrating blockchain technology with the Internet of Things offers transformative
possibilities for enhancing network security and privacy in the contemporary digital …

Natural language processing contains multiple methods of translating written text or spoken
words into numerical information called word embeddings. Some of these embedding …

The Transformer model has gained significant recognition for its remarkable computational
capabilities and versatility, positioning itself as a fundamental component in numerous …

Recent literature highlights a significant cross-impact between transfer learning and
cybersecurity. Many studies have been conducted on using transfer learning to enhance …