Comprehensive survey of image steganography: Techniques, Evaluations, and trends in future research

IJ Kadhim, P Premaratne, PJ Vial, B Halloran - Neurocomputing, 2019 - Elsevier
Storing and communicating secret and/or private information has become part of our daily
life whether it is for our employment or personal well-being. Therefore, secure storage and …

Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

A Brunetti, D Buongiorno, GF Trotta, V Bevilacqua - Neurocomputing, 2018 - Elsevier
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

Applications of fractional calculus in computer vision: a survey

S Arora, T Mathur, S Agarwal, K Tiwari, P Gupta - Neurocomputing, 2022 - Elsevier
Fractional calculus is an abstract idea exploring interpretations of differentiation having non-
integer order. For a very long time, it was considered as a topic of mere theoretical interest …

Deep learning-based methods for person re-identification: A comprehensive review

D Wu, SJ Zheng, XP Zhang, CA Yuan, F Cheng… - Neurocomputing, 2019 - Elsevier
In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

Image compression techniques: A survey in lossless and lossy algorithms

AJ Hussain, A Al-Fayadh, N Radi - Neurocomputing, 2018 - Elsevier
The bandwidth of the communication networks has been increased continuously as results
of technological advances. However, the introduction of new services and the expansion of …

Advances in teaching-learning-based optimization algorithm: A comprehensive survey

G Zhou, Y Zhou, W Deng, S Yin, Y Zhang - Neurocomputing, 2023 - Elsevier
Teaching-learning-based optimization (TLBO) algorithm which imitates the teaching-
learning process in a classroom, is one of population-based heuristic stochastic swarm …

Group information guided ICA for fMRI data analysis

Y Du, Y Fan - Neuroimage, 2013 - Elsevier
Group independent component analysis (ICA) has been widely applied to studies of multi-
subject fMRI data for computing subject specific independent components with …

A survey of teaching–learning-based optimization

F Zou, D Chen, Q Xu - Neurocomputing, 2019 - Elsevier
Over past few decades, swarm intelligent algorithms based on the intelligent behaviors of
social creatures have been extensively studied and applied for all kinds of optimization …

An overview on twin support vector regression

H Huang, X Wei, Y Zhou - Neurocomputing, 2022 - Elsevier
Twin support vector regression (TSVR) is a useful extension of traditional support vector
regression (SVR). As a new regression model, the basic idea of TSVR is generating a pair of …

Progress in hyperspectral remote sensing science and technology in China over the past three decades

Q Tong, Y Xue, L Zhang - IEEE Journal of Selected Topics in …, 2013 - ieeexplore.ieee.org
This paper reviews progress in hyperspectral remote sensing (HRS) in China, focusing on
the past three decades. China has made great achievements since starting in this promising …