[HTML][HTML] Addressing bias in big data and AI for health care: A call for open science

N Norori, Q Hu, FM Aellen, FD Faraci, A Tzovara - Patterns, 2021 - cell.com
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 …

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 …

Meta-heuristic optimization and keystroke dynamics for authentication of smartphone users

ESM El-Kenawy, S Mirjalili, AA Abdelhamid, A Ibrahim… - Mathematics, 2022 - mdpi.com
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 …

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 …

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 …

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 …

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 …

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 …

Representation learning and pattern recognition in cognitive biometrics: a survey

M Wang, X Yin, Y Zhu, J Hu - Sensors, 2022 - mdpi.com
Cognitive biometrics is an emerging branch of biometric technology. Recent research has
demonstrated great potential for using cognitive biometrics in versatile applications …

Hybrid emotion-aware monitoring system based on brainwaves for internet of medical things

W Meng, Y Cai, LT Yang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
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 …