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Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations (2021)
Journal Article
Mehmood, Y., Aslam, J., Ullah, N., Alsheikhy, A. A., Din, E. U., & Iqbal, J. (2021). Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations. PLoS ONE, 16(11), Article 0258909. https://doi.org/10.1371/journal.pone.0258909

Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like construction, agricultural work, material handling etc. The accuracy of performing such tasks require a robust control algorithm. The design of such... Read More about Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations.

Unscented Kalman filter for airship model uncertainties and wind disturbance estimation (2021)
Journal Article
Wasim, M., Ali, A., Ahmad Choudhry, M., Saleem, F., Shaikh, I. U. H., & Iqbal, J. (2021). Unscented Kalman filter for airship model uncertainties and wind disturbance estimation. PLoS ONE, 16(11 November), Article e0257849. https://doi.org/10.1371/journal.pone.0257849

An airship is lighter than an air vehicle with enormous potential in applications such as communication, aerial inspection, border surveillance, and precision agriculture. An airship model is made up of dynamic, aerodynamic, aerostatic, and propulsiv... Read More about Unscented Kalman filter for airship model uncertainties and wind disturbance estimation.

Control of an anthropomorphic manipulator using LuGre friction model - Design and experimental validation (2021)
Journal Article
Ali, K., Mehmood, A., Muhammad, I., Razzaq, S., & Iqbal, J. (2021). Control of an anthropomorphic manipulator using LuGre friction model - Design and experimental validation. Strojniški vestnik - Journal of Mechanical Engineering, 67(9), 401-410. https://doi.org/10.5545/sv-jme.2021.7258

Automation technology has been extensively recognized as an emerging field in various industrial applications. Recent breakthrough in flexible automation is primarily due to deployment of robotic arms or manipulators. Autonomy in these manipulators i... Read More about Control of an anthropomorphic manipulator using LuGre friction model - Design and experimental validation.

Optimization of fuzzy logic quadrotor attitude controller - particle swarm, Cuckoo search and BAT algorithms (2021)
Journal Article
Siddiq Zatout, M., Rezoug, A., Rezoug, A., Baizid, K., & Iqbal, J. (2021). Optimization of fuzzy logic quadrotor attitude controller - particle swarm, Cuckoo search and BAT algorithms. International Journal of Systems Science, https://doi.org/10.1080/00207721.2021.1978012

Bio-inspired optimisation algorithms have recently attracted much attention in the control community. Most of these algorithms mimic particular behaviours of some animal species in such a way that allows solving optimisation problems. The present pap... Read More about Optimization of fuzzy logic quadrotor attitude controller - particle swarm, Cuckoo search and BAT algorithms.

Predicting personalised optimal arc parameter using knowledge-based planning model for inoperable locally advanced lung cancer patients to reduce organ at risk doses (2021)
Journal Article
Tambe, N. S., Pires, I. M., Moore, C., Wieczorek, A., Upadhyay, S., & Beavis, A. W. (2021). Predicting personalised optimal arc parameter using knowledge-based planning model for inoperable locally advanced lung cancer patients to reduce organ at risk doses. Biomedical Physics and Engineering Express, 7(6), Article 065016. https://doi.org/10.1088/2057-1976/ac2635

Objectives. Volumetric modulated arc therapy (VMAT) allows for reduction of organs at risk (OAR) volumes receiving higher doses, but increases OAR volumes receiving lower radiation doses and can subsequently increasing associated toxicity. Therefore,... Read More about Predicting personalised optimal arc parameter using knowledge-based planning model for inoperable locally advanced lung cancer patients to reduce organ at risk doses.

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.

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.

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?.

Regulation of sinus node pacemaking and atrioventricular node conduction by HCN channels in health and disease (2021)
Journal Article
Boyett, M. R., Yanni, J., Tellez, J., Bucchi, A., Mesirca, P., Cai, X., …D'Souza, A. (in press). Regulation of sinus node pacemaking and atrioventricular node conduction by HCN channels in health and disease. Progress in Biophysics and Molecular Biology, https://doi.org/10.1016/j.pbiomolbio.2021.06.008

The funny current, If, was first recorded in the heart 40 or more years ago by Dario DiFrancesco and others. Since then, we have learnt that If plays an important role in pacemaking in the sinus node, the innate pacemaker of the heart, and more recen... Read More about Regulation of sinus node pacemaking and atrioventricular node conduction by HCN channels in health and disease.

UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control (2021)
Journal Article
Ullah, N., Mehmood, Y., Aslam, J., Ali, A., & Iqbal, J. (2021). UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control. IEEE Access, 9, 74385-74405. https://doi.org/10.1109/ACCESS.2021.3081483

Leader follower formation of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) has found numerous applications such as surveillance of critical infrastructure, industrial automation and disaster management emergency. For completion... Read More about UAVs-UGV Leader Follower Formation Using Adaptive Non-Singular Terminal Super Twisting Sliding Mode Control.

Robust Finite-Time Trajectory Tracking Control of Quadrotor Aircraft via Terminal Sliding Mode-Based Active Antidisturbance Approach: A PIL Experiment (2021)
Journal Article
Mechali, O., Iqbal, J., Xie, X., Xu, L., & Senouci, A. (2021). Robust Finite-Time Trajectory Tracking Control of Quadrotor Aircraft via Terminal Sliding Mode-Based Active Antidisturbance Approach: A PIL Experiment. International Journal of Aerospace Engineering, 2021, Article 5522379. https://doi.org/10.1155/2021/5522379

This paper presents an accurate solution of finite-time Cartesian trajectory tracking control problem of a quadrotor system by designing and implementing a novel robust flight-control algorithm. The quadrotor is subject to nonlinearities, unmodeled d... Read More about Robust Finite-Time Trajectory Tracking Control of Quadrotor Aircraft via Terminal Sliding Mode-Based Active Antidisturbance Approach: A PIL Experiment.

The United Nations Sustainable Development Goals: a setting for Professional and Research skills (2021)
Journal Article
Dixon, J., & Gordon, N. A. (2021). The United Nations Sustainable Development Goals: a setting for Professional and Research skills. New Directions in the Teaching of Physical Sciences, 16(1), https://doi.org/10.29311/ndtps.v0i16.3660

This paper considers the use of the United Nations global goals to provide a framework for the teaching of professional and related skills. The main example and case study considered in this paper is from computing; however, much of the approach and... Read More about The United Nations Sustainable Development Goals: a setting for Professional and Research skills.

Effect of treatment planning system parameters on beam modulation complexity for treatment plans with single-layer multi-leaf collimator and dual-layer stacked multi-leaf collimator (2021)
Journal Article
Quintero, P., Cheng, Y., Benoit, D., Moore, C., & Beavis, A. (2021). Effect of treatment planning system parameters on beam modulation complexity for treatment plans with single-layer multi-leaf collimator and dual-layer stacked multi-leaf collimator. British Journal of Radiology, 94(1122), Article 20201011. https://doi.org/10.1259/bjr.20201011

OBJECTIVE: High levels of beam modulation complexity (MC) and monitor units (MU) can compromise the plan deliverability of intensity-modulated radiotherapy treatments. Our study evaluates the effect of three treatment planning system (TPS) parameters... Read More about Effect of treatment planning system parameters on beam modulation complexity for treatment plans with single-layer multi-leaf collimator and dual-layer stacked multi-leaf collimator.

System architecture of a proactive intelligent system to monitor health of older adults living alone (2021)
Journal Article
Al-Mejibli, I., Al-Majeed, S., Karam, J., Iqbal, J., Adolfo, C. M., & Yalung, C. (2021). System architecture of a proactive intelligent system to monitor health of older adults living alone. International Journal of Computing and Digital Systems, 10(1), 509-517. https://doi.org/10.12785/IJCDS/100149

Worldwide improvements in the quality of life highlight immense need to have a remote health monitoring system that can provide critical biomedical data. This paper presents a low-cost health monitoring system, forming part of the Internet of Things... Read More about System architecture of a proactive intelligent system to monitor health of older adults living alone.

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. (in press). Towards Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems. Computer,

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.

SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning (2021)
Journal Article
Tan, J., Yang, Z., Cheng, Y., Ye, J., Wang, B., & Dai, Q. (2021). SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning. Pattern Recognition, 117, Article 107987. https://doi.org/10.1016/j.patcog.2021.107987

Sparse representation and cooperative learning are two representative technologies in the field of multi-view spectral clustering. The former can effectively extract features of multiple views by the removal of redundant information contained in each... Read More about SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning.

Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future (2021)
Journal Article
Chatterjee, J., & Dethlefs, N. (2021). Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future. Renewable & sustainable energy reviews, 144, Article 111051. https://doi.org/10.1016/j.rser.2021.111051

Wind energy has emerged as a highly promising source of renewable energy in recent times. However, wind turbines regularly suffer from operational inconsistencies, leading to significant costs and challenges in operations and maintenance (O&M). Condi... Read More about Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future.