Digital twin for credit card fraud detection: Opportunities, challenges, and fraud detection advancements

P Chatterjee, D Das, DB Rawat - Future Generation Computer Systems, 2024 - Elsevier
Credit cards are widely used for payments due to their convenience and broad acceptance.
Their popularity comes with the critical challenge of safeguarding personal and payment …

Integrating digital twins with IoT-based blockchain: concept, architecture, challenges, and future scope

EED Hemdan, W El-Shafai, A Sayed - Wireless personal communications, 2023 - Springer
In recent years, there have been concentrations on the Digital Twin from researchers and
companies due to its advancement in IT, communication systems, Cloud Computing, Internet …

[HTML][HTML] Secure-fault-tolerant efficient industrial internet of healthcare things framework based on digital twin federated fog-cloud networks

A Lakhan, AAA Lateef, MK Abd Ghani… - Journal of King Saud …, 2023 - Elsevier
Abstract The Industrial Internet of Healthcare Things (IIoHT) is the emerging paradigm in
digital healthcare. Context-aware healthcare sensors, local intelligent watches, healthcare …

Digital twin-assisted dual transfer: A novel information-model adaptation method for rolling bearing fault diagnosis

Z Li, X Ding, Z Song, L Wang, B Qin, W Huang - Information Fusion, 2024 - Elsevier
Rolling bearing fault diagnosis is of great importance to the safety management of
mechanical equipment. The scarcity of labelled fault data makes it difficult to adequately …

Life Cycle Cost Analysis of Pumping System through Machine Learning and Hidden Markov Model

N Dutta, K Palanisamy, P Shanmugam… - Processes, 2023 - mdpi.com
The pumping system is a critical component in various industries and consumes 20% of the
world's energy demand, with 25–50% of that energy used in industrial operations. The …

Digital-analog driven multi-scale transfer for smart bearing fault diagnosis

W Huang, Z Li, X Ding, D He, Q Wu, J Liu - Engineering Applications of …, 2024 - Elsevier
Self-diagnosis and self-decision are crucial to smart bearing, where intelligent and robust
models should be built and deployed on the smart bearing chip for an on-line edge effect …

A taxonomy for decision making in IoT systems

L Durán-Polanco, M Siller - Internet of Things, 2023 - Elsevier
Semantic knowledge representations in the IoT can enable the vision of autonomic
computing by providing a specification that enables interoperability and reasoning …

[HTML][HTML] Conditional Generative Adversarial Networks with Optimized Machine Learning for Fault Detection of Triplex Pump in Industrial Digital Twin

A Sayed, S Alshathri, EED Hemdan - Processes, 2024 - mdpi.com
In recent years, digital twin (DT) technology has garnered significant interest from both
academia and industry. However, the development of effective fault detection and diagnosis …

[HTML][HTML] An Intelligent Attack Detection Framework for the Internet of Autonomous Vehicles with Imbalanced Car Hacking Data

S Alshathri, A Sayed, EED Hemdan - World Electric Vehicle Journal, 2024 - mdpi.com
The modern Internet of Autonomous Vehicles (IoVs) has enabled the development of
autonomous vehicles that can interact with each other and their surroundings, facilitating …

Synchronizing smart city nodes using Skew Integrated Timestamp (SIT)

MU Hashmi, M Hussain, AA Shah, M Babar… - PeerJ Computer …, 2024 - peerj.com
Time synchronization among smart city nodes is critical for proper functioning and
coordinating various smart city systems and applications. It ensures that different devices …