A review of face recognition technology

L Li, X Mu, S Li, H Peng - IEEE access, 2020 - ieeexplore.ieee.org
Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …

Application of machine learning in intelligent fish aquaculture: A review

S Zhao, S Zhang, J Liu, H Wang, J Zhu, D Li, R Zhao - Aquaculture, 2021 - Elsevier
Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …

Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection

WS Paka, R Bansal, A Kaushik, S Sengupta… - Applied Soft …, 2021 - Elsevier
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a
tsunami of fake news and misinformation on social media. At the time when reliable …

A new direction in social network analysis: Online social network analysis problems and applications

U Can, B Alatas - Physica A: Statistical Mechanics and its Applications, 2019 - Elsevier
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

Deep graph neural network-based spammer detection under the perspective of heterogeneous cyberspace

Z Guo, L Tang, T Guo, K Yu, M Alazab… - Future generation …, 2021 - Elsevier
Due to the severe threat to cyberspace security, detection of online spammers has been a
universal concern of academia. Nowadays, prevailing literature of this field almost leveraged …

Robust spammer detection using collaborative neural network in Internet-of-Things applications

Z Guo, Y Shen, AK Bashir, M Imran… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Spamming is emerging as a key threat to the Internet of Things (IoT)-based social media
applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial …

Fuz-spam: Label smoothing-based fuzzy detection of spammers in internet of things

Z Guo, K Yu, A Jolfaei, F Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Nowadays, online spamming has already been a remarkable threat to contents security of
Internet of Things. Due to constant technical progress, online spamming activities have been …

A survey of deep nonnegative matrix factorization

WS Chen, Q Zeng, B Pan - Neurocomputing, 2022 - Elsevier
Abstract Deep Nonnegative Matrix Factorization (Deep NMF) is an effective strategy for
feature extraction in recent years. By decomposing the matrix recurrently on account of the …

Words are important: A textual content based identity resolution scheme across multiple online social networks

DK Srivastava, B Roychoudhury - Knowledge-Based Systems, 2020 - Elsevier
Identity resolution of a person using various online social networks can enable an interested
party to have a better and holistic understanding of former's behavior and personality. Major …

Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks

A Barushka, P Hajek - Neural Computing and Applications, 2020 - Springer
Spam detection on social networks is increasingly important owing to the rapid growth of
social network user base. Sophisticated spam filters must be developed to deal with this …