Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor

VB Semwal, N Gaud, P Lalwani, V Bijalwan… - Artificial Intelligence …, 2022 - Springer
A bipedal walking robot is a kind of humanoid robot. It is suppose to mimics human behavior
and designed to perform human specific tasks. Currently, humanoid robots are not capable …

Machine learning and deep learning in chemical health and safety: a systematic review of techniques and applications

Z Jiao, P Hu, H Xu, Q Wang - ACS Chemical Health & Safety, 2020 - ACS Publications
Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that
can automatically learn from data and can perform tasks such as predictions and decision …

Firefly algorithm and its variants in digital image processing: A comprehensive review

N Dey, J Chaki, L Moraru, S Fong, XS Yang - Applications of firefly …, 2020 - Springer
The significance and requirements of digital image processing arise from two main areas of
applications: the improvement of visual information for human interpretation and the …

Vision tracking: A survey of the state-of-the-art

A Dutta, A Mondal, N Dey, S Sen, L Moraru… - SN Computer …, 2020 - Springer
Vision tracking is a well-studied framework in vision computing. Develo** a robust visual
tracking system is challenging because of the sudden change in object motion, cluttered …

Optical PTFT asymmetric cryptosystem-based secure and efficient cancelable biometric recognition system

A Alarifi, M Amoon, MH Aly, W El-Shafai - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, biometric systems are extensively and commonly utilized for authentication and
verification applications. The security issue and the dependence on a specific biometric for …

Underground mine safety and health: A hybrid MEREC–CoCoSo system for the selection of best sensor

Q Wang, T Cheng, Y Lu, H Liu, R Zhang, J Huang - Sensors, 2024 - mdpi.com
This research addresses the paramount issue of enhancing safety and health conditions in
underground mines through the selection of optimal sensor technologies. A novel hybrid …

STT-Net: Simplified temporal transformer for emotion recognition

M Khan, A El Saddik, M Deriche, W Gueaieb - IEEE Access, 2024 - ieeexplore.ieee.org
Emotion recognition is one of the crucial topics in computer vision to efficiently recognize the
expression of humans through faces. Recently, transformers have been recognized as a …

Facial expression recognition of industrial internet of things by parallel neural networks combining texture features

Z **, Y Niu, J Chen, X Kan, H Liu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) has been widely applied in smart home, smart city, smart
traffic, etc. It is a big challenge to recognize facial expression of IIoT systems more …

Machine translation using deep learning for universal networking language based on their structure

MNY Ali, ML Rahman, J Chaki, N Dey… - International Journal of …, 2021 - Springer
This paper presents a deep learning-based machine translation (MT) system that translates
a sentence of subject-object-verb (SOV) structured language into subject-verb-object (SVO) …

Review of metal oxide semiconductors-based thin-film transistors for point-of-care sensor applications

YS Rim - Journal of Information Display, 2020 - Taylor & Francis
Recently, oxide semiconductors-based thin-film transistors have received much attention for
biosensor platforms due to their high sensitivity, good chemical resistance, easy surface …