Internet of Things (IoT) devices often operate with limited resources while interacting with
users and their environment, generating a wealth of data. Machine learning models interpret …

Emerging applications such as smart city infrastructures and virtual reality landscapes are
setting rigorous benchmarks for 6G mobile networks, requiring elevated levels of …

Collaborative edge intelligence, a distributed computing paradigm, refers to a system where
multiple edge devices work together to process data and perform distributed machine …

New opportunities in the field of digital marketing, notably in the Metaverse, have been
made possible by the rising use of 6G networks and blockchain technology. In the context of …

Blockchain technology, renowned for its ability to securely store data, hashes, and
signatures permanently, faces unprecedented challenges in secure Consumer IoT (CIoT) …

The traditional landscape of vehicle lifecycle management systems has several issues,
including widespread fraud, opaque processes, and limited accessibility. As a result, there is …

6G (sixth-generation wireless), the successor to 5G cellular technology, operates at higher
frequencies than its predecessor and supports significantly greater capacity and markedly …

Federated learning-based model marketplaces have the potential to securely leverage
healthcare data for efficient healthcare transactions. However, the willingness to participate …

Adversarial examples are security risks in the implementation of artificial intelligence (AI) in
6G Consumer Electronics. Deep learning models are highly susceptible to adversarial …

In recent years, blockchain technology has gained prominence beyond cryptocurrencies,
finding applications in smart grids and the Internet of Things (IoT). With advancements in AI …