Past, present, and future of face recognition: A review

I Adjabi, A Ouahabi, A Benzaoui, A Taleb-Ahmed - Electronics, 2020 - mdpi.com
Face recognition is one of the most active research fields of computer vision and pattern
recognition, with many practical and commercial applications including identification, access …

Multi-factor authentication: A survey

A Ometov, S Bezzateev, N Mäkitalo, S Andreev… - Cryptography, 2018 - mdpi.com
Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …

Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment

GX Gu, CT Chen, DJ Richmond, MJ Buehler - Materials Horizons, 2018 - pubs.rsc.org
Biomimicry, adapting and implementing nature's designs provides an adequate first-order
solution to achieving superior mechanical properties. However, the design space is too vast …

De novo composite design based on machine learning algorithm

GX Gu, CT Chen, MJ Buehler - Extreme Mechanics Letters, 2018 - Elsevier
Composites are widely used to create tunable materials to achieve superior mechanical
properties. Brittle materials fail catastrophically in the presence of cracks. Incorporating …

Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry

N Verbeeck, RM Caprioli… - Mass spectrometry …, 2020 - Wiley Online Library
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that
can map the spatial distribution of molecules with high chemical specificity. IMS does not …

Pseudo RGB-D face recognition

B **, L Cruz, N Goncalves - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
In the last decade, advances and popularity of low-cost RGB-D sensors have enabled us to
acquire depth information of objects. Consequently, researchers began to solve face …

EEG signal classification using universum support vector machine

B Richhariya, M Tanveer - Expert Systems with Applications, 2018 - Elsevier
Support vector machine (SVM) has been used widely for classification of
electroencephalogram (EEG) signals for the diagnosis of neurological disorders such as …

A review and analysis of automatic optical inspection and quality monitoring methods in electronics industry

M Abd Al Rahman, A Mousavi - Ieee Access, 2020 - ieeexplore.ieee.org
Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …

Local binary patterns and its application to facial image analysis: a survey

D Huang, C Shan, M Ardabilian… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

Multi-objective based spatio-temporal feature representation learning robust to expression intensity variations for facial expression recognition

DH Kim, WJ Baddar, J Jang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Facial expression recognition (FER) is increasingly gaining importance in various emerging
affective computing applications. In practice, achieving accurate FER is challenging due to …