Outputs (46)

A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning (2021)
Journal Article
Tan, J., Yang, Z., Ren, J., Wang, B., Cheng, Y., & Ling, W. K. (2022). A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning. Pattern Recognition, 122, Article 108298. https://doi.org/10.1016/j.patcog.2021.108298

Multi-view clustering has become a hot yet challenging topic, due mainly to the independence of and information complementarity between different views. Although good results are achieved to a certain extent from typical methods including multi-view... Read More about A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning.

The relations of job stress dimensions to safety climate and accidents occurrence among the workers (2021)
Journal Article
Khoshakhlagh, A. H., Yazdanirad, S., Hatamnejad, Y., Khatooni, E., Kabir, S., & Tajpoor, A. (2021). The relations of job stress dimensions to safety climate and accidents occurrence among the workers. Heliyon, 7(9), Article e08082. https://doi.org/10.1016/j.heliyon.2021.e08082

Based on a literature review, likely, there is a relationship between job stress and safety climate, and in this way, the accident occurrence is affected. Therefore, the present study was aimed to investigate the relations of job stress dimensions to... Read More about The relations of job stress dimensions to safety climate and accidents occurrence among the workers.

The blessings of explainable AI in operations & maintenance of wind turbines (2021)
Thesis
Chatterjee, J. The blessings of explainable AI in operations & maintenance of wind turbines. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4223982

Wind turbines play an integral role in generating clean energy, but regularly suffer from operational inconsistencies and failures leading to unexpected downtimes and significant Operations & Maintenance (O&M) costs. Condition-Based Monitoring (CBM)... Read More about The blessings of explainable AI in operations & maintenance of wind turbines.

A deterministic approach for design of supervisory control of LPV systems with delay (2021)
Journal Article
Zahid, C. N., Salim, M., Riaz, R. A., & Iqbal, J. (2021). A deterministic approach for design of supervisory control of LPV systems with delay. PLoS ONE, 16(8), Article e0256408. https://doi.org/10.1371/journal.pone.0256408

Linear Parameter Varying (LPV) systems and their control have gained attraction recently as they approximate nonlinear systems with higher order than ordinary linear systems. On the other hand, time delay is an inherent part of various real-life appl... Read More about A deterministic approach for design of supervisory control of LPV systems with delay.

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.