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Fault-tolerant scheme for robotic manipulator -Nonlinear robust back-stepping control with friction compensation (2021)
Journal Article
Ali, K., Mehmood, A., & Iqbal, J. (2021). Fault-tolerant scheme for robotic manipulator -Nonlinear robust back-stepping control with friction compensation. PLoS ONE, 16(8), Article e0256491. https://doi.org/10.1371/journal.pone.0256491

Emerging applications of autonomous robots requiring stability and reliability cannot afford component failure to achieve operational objectives. Hence, identification and countermeasure of a fault is of utmost importance in mechatronics community. T... Read More about Fault-tolerant scheme for robotic manipulator -Nonlinear robust back-stepping control with friction compensation.

PCG signals for biometric authentication systems: An in-depth review (2021)
Journal Article
El-Dahshan, E. S. A., Bassiouni, M. M., Sharvia, S., & Salem, A. B. M. (2021). PCG signals for biometric authentication systems: An in-depth review. Computer Science Review, 41, Article 100420. https://doi.org/10.1016/j.cosrev.2021.100420

This review aims to present a survey of the technologies and methodologies used in the phonocardiogram (PCG) biometric systems. The phases used in the PCG which are explored in this paper include data acquisition, de-noising, extracting PCG peaks, fe... Read More about PCG signals for biometric authentication systems: An in-depth review.

Msb r‐cnn: A multi‐stage balanced defect detection network (2021)
Journal Article
Xu, Z., Lan, S., Yang, Z., Cao, J., Wu, Z., & Cheng, Y. (2021). Msb r‐cnn: A multi‐stage balanced defect detection network. Electronics, 10(16), Article 1924. https://doi.org/10.3390/electronics10161924

Deep learning networks are applied for defect detection, among which Cascade R‐CNN is a multi‐stage object detection network and is state of the art in terms of accuracy and efficiency. However, it is still a challenge for Cascade R‐CNN to deal with... Read More about Msb r‐cnn: A multi‐stage balanced defect detection network.

Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach (2021)
Presentation / Conference Contribution
Mechali, O., Iqbal, J., Mechali, A., Xie, X., & Xu, L. (2021, August). Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach. Presented at 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021, Takamatsu, Japan

This research addresses the problem of robust attitude control for a quadrotor operating in an environment polluted with lumped disturbances. A new continuous terminal sliding mode-based active anti-disturbance control (CTSMBAADC) is proposed by inno... Read More about Finite-Time Attitude Control of Uncertain Quadrotor Aircraft via Continuous Terminal Sliding-Mode-Based Active Anti-Disturbance Approach.

Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances (2021)
Presentation / Conference Contribution
Mechali, O., Iqbal, J., Wang, J., Xie, X., & Xu, L. (2021, August). Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances. Presented at 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021, Takamatsu, Japan

This paper proposes a novel control scheme for a group of quadrotors aircrafts that form a leader-follower configuration and are subjected to nonlinear behavior with lumped disturbances. For each aircraft, a distributed formation control law is desig... Read More about Distributed Leader-Follower Formation Control of Quadrotors Swarm Subjected to Disturbances.

Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems (2021)
Journal Article
Aslansefat, K., Kabir, S., Abdullatif, A., Vasudevan Nair, V., & Papadopoulos, Y. (2021). Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer, 54(8), 66-76

The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly. As autonomous vehicles operate in dynamic environments, the risk that they can face an unknown observation is relativel... Read More about Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems.

A permanent Pivot to online learning, or will universities bounce back to normal? (2021)
Journal Article
Gordon, N. (2021). A permanent Pivot to online learning, or will universities bounce back to normal?. Academia Letters, 1-6. https://doi.org/10.20935/al2394

The Coronavirus pandemic has had a profound impact on how universities (higher or tertiary education) globally have taught students, throughout 2020 and into 2021. The response to the Coronavirus pandemic saw a mass pivot towards online learning in m... Read More about A permanent Pivot to online learning, or will universities bounce back to normal?.

Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example (2021)
Presentation / Conference Contribution
Mian, Z., Bai, Y., & Ur, R. K. (2022, June). Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example. Presented at 2021 IEEE 3rd International Conference on Computer Science and Educational Informatization (CSEI), Xinxiang, China

In 2015, North Minzu University (NMU) introduced MOOC teaching method into the teaching practice of computer major. It is the first experiment of this teaching method in Ningxia Hui Autonomous Region. In the three years of teaching practice, NMU has... Read More about Research on College Computer-Computing and Information Literacy online course based on MOOC: Taking the North Minzu University as an example.

A Navigation System for Safe Routing (2021)
Presentation / Conference Contribution
Kaur, R., Goyal, V., Gunturi, V. M., Saini, A., Sanadhya, K., Gupta, R., & Ratra, S. (2021, June). A Navigation System for Safe Routing. Presented at International Conference on Mobile Data Management, Toronto, ON, Canada

Globally, women are cautious when planning their routine travel routes. In a recent survey on street harassment, 82% of international respondents reported taking a different route to their destination than the conventional route due to fear of harass... Read More about A Navigation System for Safe Routing.

A TRIANGULATED COMPETENCY FRAMEWORK FOR CONTEMPORARY COMPUTER SCIENCE PROGRAMMES (2021)
Presentation / Conference Contribution
Whelan, J. (2021, July). A TRIANGULATED COMPETENCY FRAMEWORK FOR CONTEMPORARY COMPUTER SCIENCE PROGRAMMES. Presented at 13th International Conference on Education and New Learning Technologies, Online Conference

Aligning student learning to demonstrable, practical competencies is at the heart of the Transforming Programmes process at the University of Hull (UK). This paper reports on the approach created by the Department of Computer Science and Technology (... Read More about A TRIANGULATED COMPETENCY FRAMEWORK FOR CONTEMPORARY COMPUTER SCIENCE PROGRAMMES.