[HTML][HTML] Internet of things for smart factories in industry 4.0, a review

M Soori, B Arezoo, R Dastres - Internet of Things and Cyber-Physical …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is playing a significant role in the transformation of
traditional factories into smart factories in Industry 4.0 by using network of interconnected …

Eyedrive: A deep learning model for continuous driver authentication

B Taha, SNA Seha, DY Hwang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Eye movement (EM) is considerably a new behavioral modality for biometric authentication.
In this work, we use this modality in the context of continuous driver authentication. Existing …

IoT-enabled multimodal biometric recognition system in secure environment

S Umer, A Sardar, RK Rout, M Tanveer… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
A multimodal biometric recognition system on Internet of Things (IoT) with Blockchain
environments has been proposed in this article. This system distributes a decentralized …

[HTML][HTML] An ablation study on part-based face analysis using a multi-input convolutional neural network and semantic segmentation

AF Abate, L Cimmino, J Lorenzo-Navarro - Pattern Recognition Letters, 2023 - Elsevier
Face-based recognition methods usually need the image of the whole face to perform, but in
some situations, only a fraction of the face is visible, for example wearing sunglasses or …

LAWNet: A lightweight attention-based deep learning model for wrist vein verification in smartphones using RGB images

TV Nguyen, SJ Horng, DT Vu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The wrist vein is one robust and reliable biometric for research and applications in automatic
human verification; however, the existing wrist vein recognition models were heavy and …

Re-Envisioning industrial control systems security by considering human factors as a core element of Defense-in-Depth

J Pottebaum, J Rossel, J Somorovsky… - 2023 IEEE European …, 2023 - ieeexplore.ieee.org
The security of Industrial Control Systems is relevant both for reliable production system
operations and for high-quality throughput in terms of manufactured products. Security …

Cognitive manufacturing: definition and current trends

F El Kalach, I Yousif, T Wuest, A Sheth… - Journal of Intelligent …, 2024 - Springer
Manufacturing systems have recently witnessed a shift from the widely adopted automated
systems seen throughout industry. The evolution of Industry 4.0 or Smart Manufacturing has …

S-QRD-ELM: scalable QR-decomposition-based extreme learning machine engine supporting online class-incremental learning for ECG-based user identification

YT Chen, YC Chuang, LS Chang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
User identification enables secure access to data and machines in smart factories.
Compared with other modalities, ECG-based user identification is rising due to its intrinsic …

Resilience 4.0: Charting the Path to the Future with a Literature Review

M Di Nardo, M Gallab, A Salvatore, GR Dubbioso… - 2023 - preprints.org
The Industry 4.0 represents new era of production, characterized by a deep integration
between digital technologies and physical systems. Cyber physical systems, cyber …

Machine Learning and Deep Learning for Multimodal Biometrics

D Mandal, SS Pattnaik - Multimodal Biometric and Machine …, 2023 - Wiley Online Library
This chapter presents machine learning and deep learning techniques for multimodal
biometrics. Multiple biometrics have been used in this concept to enhance the recognition …