Pattern identification of different human joints for different human walking styles using inertial measurement unit (IMU) sensor
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 …
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
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 …
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
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 …
applications: the improvement of visual information for human interpretation and the …
Vision tracking: A survey of the state-of-the-art
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 …
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
Recently, biometric systems are extensively and commonly utilized for authentication and
verification applications. The security issue and the dependence on a specific biometric for …
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
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 …
underground mines through the selection of optimal sensor technologies. A novel hybrid …
STT-Net: Simplified temporal transformer for emotion recognition
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 …
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 …
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
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) …
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 …
biosensor platforms due to their high sensitivity, good chemical resistance, easy surface …