[HTML][HTML] Addressing bias in big data and AI for health care: A call for open science
Artificial intelligence (AI) has an astonishing potential in assisting clinical decision making
and revolutionizing the field of health care. A major open challenge that AI will need to …
and revolutionizing the field of health care. A major open challenge that AI will need to …
Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation
J Li, Q Wang - Information Fusion, 2022 - Elsevier
Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …
incomplete information expressed by a single modality, so as to realize the complementarity …
Meta-heuristic optimization and keystroke dynamics for authentication of smartphone users
Personal Identification Numbers (PIN) and unlock patterns are two of the most often used
smartphone authentication mechanisms. Because PINs have just four or six characters, they …
smartphone authentication mechanisms. Because PINs have just four or six characters, they …
Machine learning in identity and access management systems: Survey and deep dive
S Aboukadri, A Ouaddah, A Mezrioui - Computers & Security, 2024 - Elsevier
The evolution of identity and access management (IAM) has been driven by the expansion
of online services, cloud computing, and the Internet of Things (IoT). The proliferation of …
of online services, cloud computing, and the Internet of Things (IoT). The proliferation of …
Blockchain-based multi-factor authentication: A systematic literature review
MS Almadani, S Alotaibi, H Alsobhi, OK Hussain… - Internet of Things, 2023 - Elsevier
Blockchain-based multi-factor authentication (BMFA) combines multi-factor authentication
with blockchain technology to provide a reliable and secure authentication mechanism. In …
with blockchain technology to provide a reliable and secure authentication mechanism. In …
Seizure detection algorithm based on improved functional brain network structure feature extraction
L Jiang, J He, H Pan, D Wu, T Jiang, J Liu - Biomedical Signal Processing …, 2023 - Elsevier
Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …
seizures is essential for treatment. A seizure detection method with the structure of functional …
Towards a universal and privacy preserving EEG-based authentication system
AJ Bidgoly, HJ Bidgoly, Z Arezoumand - Scientific Reports, 2022 - nature.com
EEG-based authentication has gained much interest in recent years. However, despite its
growing appeal, there are still various challenges to their practical use, such as lack of …
growing appeal, there are still various challenges to their practical use, such as lack of …
Review on EEG‐Based Authentication Technology
S Zhang, L Sun, X Mao, C Hu… - Computational intelligence …, 2021 - Wiley Online Library
With the rapid development of brain‐computer interface technology, as a new biometric
feature, EEG signal has been widely concerned in recent years. The safety of brain …
feature, EEG signal has been widely concerned in recent years. The safety of brain …
Representation learning and pattern recognition in cognitive biometrics: a survey
Cognitive biometrics is an emerging branch of biometric technology. Recent research has
demonstrated great potential for using cognitive biometrics in versatile applications …
demonstrated great potential for using cognitive biometrics in versatile applications …
Hybrid emotion-aware monitoring system based on brainwaves for internet of medical things
Driven by an increasing number of connected medical devices, Internet of Medical Things
(IoMT), as an application of Internet of Things (IoT) in healthcare, is developed to help …
(IoMT), as an application of Internet of Things (IoT) in healthcare, is developed to help …