Research background: The article explores the integration of Artificial Intelligence (AI) in
predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses …

Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …

Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm that enables
multiple parties to collaboratively train a model without sharing their data. With the upcoming …

Edge nodes, which are expected to grow into a multi-billion-dollar market, are essential for
detection against a variety of cyber threats on Internet-of-Things endpoints. Adopting the …

Network intrusions through jamming and spoofing attacks have become increasingly
prevalent. The ability to detect such threats at early stages is necessary for preventing a …

Meat is a source of essential amino acids that are necessary for human growth and
development, meat can come from dead, alive, Halal, or non-Halal animal species which are …

The widespread use of the Internet of Things has led to the development of large amounts of
perception data, making it necessary to develop effective and scalable data analysis tools …

To address the accuracy degradation as well as prolonged convergence time due to the
inherent data heterogeneity among end-devices in federated learning (FL), we introduce the …

The development of the Internet of Things (IoT) in multiple sectors has led to substantial
security issues due to its decentralized structure and resource limits. To solve these …

Blockchain networks serve as a transparent and secure ledger storage solution, yet they
remain vulnerable to attacks. There must be some mechanism to protect the blockchain …