Recent advancements in finger vein recognition technology: methodology, challenges and opportunities

K Shaheed, A Mao, I Qureshi, M Kumar, S Hussain… - Information …, 2022 - Elsevier
Finger vein recognition biometric trait is a significant biometric modality that is considered
more secure, reliable, and emerging. This article presents a review to focus on the recent …

Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods

A Parashar, RS Shekhawat, W Ding, I Rida - Neurocomputing, 2022 - Elsevier
Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …

An experimental analysis of various machine learning algorithms for hand gesture recognition

S Bhushan, M Alshehri, I Keshta, AK Chakraverti… - Electronics, 2022 - mdpi.com
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …

YOLOv4-MN3 for PCB surface defect detection

X Liao, S Lv, D Li, Y Luo, Z Zhu, C Jiang - Applied Sciences, 2021 - mdpi.com
Featured Application An improved YOLOv4 algorithm for PCB surface defect detection can
achieve higher detection accuracy and faster detection speed with lower memory …

AI-driven behavior biometrics framework for robust human activity recognition in surveillance systems

A Hussain, SU Khan, N Khan, M Shabaz… - … Applications of Artificial …, 2024 - Elsevier
The integration of artificial intelligence (AI) into human activity recognition (HAR) in smart
surveillance systems has the potential to revolutionize behavior monitoring. These systems …

BiFDANet: Unsupervised bidirectional domain adaptation for semantic segmentation of remote sensing images

Y Cai, Y Yang, Q Zheng, Z Shen, Y Shang, J Yin, Z Shi - Remote Sensing, 2022 - mdpi.com
When segmenting massive amounts of remote sensing images collected from different
satellites or geographic locations (cities), the pre-trained deep learning models cannot …

Real-time driving risk assessment using deep learning with XGBoost

L Shi, C Qian, F Guo - Accident Analysis & Prevention, 2022 - Elsevier
Traffic crashes typically occur in a few seconds and real-time prediction can significantly
benefit traffic safety management and the development of safety countermeasures. This …

On the utility of parents' historical data to investigate the causes of autism spectrum disorder: a data mining-based framework

Z Halim, G Khan, B Shah, R Naseer, S Anwar, A Shah - IRBM, 2023 - Elsevier
Abstract Objective Autism Spectrum Disorder (ASD) is acknowledged as a challenge that
influences the learning ability of adolescents and also negatively impacts their families …

RRCNet: Rivet region classification network for rivet flush measurement based on 3-D point cloud

Q Xie, D Lu, A Huang, J Yang, D Li… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In the aircraft manufacturing industry, rivet inspection is a vital task for the aircraft structure
stability and aerodynamic performance. In this article, we propose a novel framework for fully …

A binary dandelion algorithm using seeding and chaos population strategies for feature selection

Y Zhao, J Dong, X Li, H Chen, S Li - Applied Soft Computing, 2022 - Elsevier
Feature selection (FS) is an important pre-processing step in data mining and pattern
recognition. It can effectively compress the dimensionality of the feature space to reduce …