Feature extraction and learning approaches for cancellable biometrics: A survey

W Yang, S Wang, J Hu, X Tao… - CAAI Transactions on …, 2024 - Wiley Online Library
Biometric recognition is a widely used technology for user authentication. In the application
of this technology, biometric security and recognition accuracy are two important issues that …

[HTML][HTML] Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems

H Li, W **ng, H Jiao, KF Yuen, R Gao, Y Li… - … Research Part E …, 2024 - Elsevier
Accurate ship trajectory prediction (STP) is crucial to realise the early warning of ship
collision and ensure maritime safety. Driven by advancements in artificial intelligence …

A Tutorial On Privacy, RCM and Its Implications in WLAN

D Ficara, RG Garroppo, J Henry - … Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of Wi-Fi devices has led to the rise of privacy concerns related to MAC
Address-based systems used for people tracking and localization across various …

Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion

Q Gao, W Wang, L Huang, X Yang, T Li, H Fujita - Information Fusion, 2023 - Elsevier
Trip recommendation is a popular and significant location-aware service that can help
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …

Bionic tribo-sensors with sweat and smudge-resistant as electronic skin for personal authentication

W Liu, S Zeng, Q Wang, W Cao, K Li, X Zeng, L Guo… - Nano Energy, 2024 - Elsevier
The increasing prevalence of the internet in our daily lives has made cybersecurity and
banking security crucial concerns. Traditional methods such as passwords, fingerprints, and …

Multimodal sentiment analysis in realistic environments based on cross-modal hierarchical fusion network

J Huang, P Lu, S Sun, F Wang - Electronics, 2023 - mdpi.com
In the real world, multimodal sentiment analysis (MSA) enables the capture and analysis of
sentiments by fusing multimodal information, thereby enhancing the understanding of real …

Structure correlation-aware attention for Iris recognition

L Jia, Q Sun, P Li - Neural Computing and Applications, 2023 - Springer
Formation of a human iris is mainly determined by anatomical characteristics that are identity-
related and stable for personal recognition. However, existing deep Convolutional Neural …

Cattle identification based on multiple feature decision layer fusion

D Li, B Li, Q Li, Y Wang, M Yang, M Han - Scientific Reports, 2024 - nature.com
In farming scenarios, cattle identification has become a key issue for the development of
precision farming. In precision livestock farming, single-feature recognition methods are …

Optimized deep network based spoof detection in automatic speaker verification system

M Neelima, IS Prabha - Multimedia Tools and Applications, 2024 - Springer
Abstract Speaker-verification-system (SVS) is automated nowadays to improve the
authenticity score of digital applications. However, spoofs in the audio signal have reduced …

A Federated Attention-Based Multimodal Biometric Recognition Approach in IoT

L Lin, Y Zhao, J Meng, Q Zhao - Sensors, 2023 - mdpi.com
The rise of artificial intelligence applications has led to a surge in Internet of Things (IoT)
research. Biometric recognition methods are extensively used in IoT access control due to …