Feature extraction and learning approaches for cancellable biometrics: A survey
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 …
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
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 …
collision and ensure maritime safety. Driven by advancements in artificial intelligence …
A Tutorial On Privacy, RCM and Its Implications in WLAN
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
research. Biometric recognition methods are extensively used in IoT access control due to …