The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …

Federated learning (FL) is a distributed machine learning (ML) approach that enables
models to be trained on client devices while ensuring the privacy of user data. Model …

Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …

Blockchain is a technology that has desirable features of decentralization, autonomy,
integrity, immutability, verification, fault-tolerance, anonymity, auditability, and transparency …

Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

Drawing on information processing theory and resource-based view (RBV), this study
examines the impact of industry 4.0 on supply chain performance (SCP). The study also …

Traditional education has been updated with the development of information technology in
human history. Within big data and cyber-physical systems, the Metaverse has generated …

The real-world use cases of blockchain technology, such as faster cross-border payments,
identity management, smart contracts, cryptocurrencies, and supply chain–blockchain …

Financial service providers find blockchain technology useful to enhance authenticity,
security, and risk management. Several institutions are adopting blockchain in trade and …

Blockchain technology provides a data structure with inherent security properties that
include cryptography, decentralization, and consensus, which ensure trust in transactions. It …