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Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images (2020)
Journal Article
Yang, Z., Cao, F., Cheng, Y., Ling, W.-K., & Hu, R. (in press). Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, 1-16. https://doi.org/10.1109/tgrs.2020.2988900

Despite the successful applications of probabilistic collaborative representation classification (PCRC) in pattern classification, it still suffers from two challenges when being applied on hyperspectral images (HSIs) classification: 1) ineffective f... Read More about Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images.

Local keypoint-based Faster R-CNN (2020)
Journal Article
Ding, X., Li, Q., Cheng, Y., Wang, J., Bian, W., & Jie, B. (in press). Local keypoint-based Faster R-CNN. Applied Intelligence, https://doi.org/10.1007/s10489-020-01665-9

Region-based Convolutional Neural Network (R-CNN) detectors have achieved state-of-the-art results on various challenging benchmarks. Although R-CNN has achieved high detection performance, the research of local information in producing candidates is... Read More about Local keypoint-based Faster R-CNN.

Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines (2020)
Journal Article
Chatterjee, J., & Dethlefs, N. (2020). Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines. Wind energy, 23(8), 1693-1710. https://doi.org/10.1002/we.2510

The last decade has witnessed an increased interest in applying machine learning techniques to predict faults and anomalies in the operation of wind turbines. These efforts have lately been dominated by deep learning techniques which, as in other fie... Read More about Deep learning with knowledge transfer for explainable anomaly prediction in wind turbines.

A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins (2020)
Journal Article
Golizadeh Akhlaghi, Y., Badiei, A., Zhao, X., Aslansefat, K., Xiao, X., Shittu, S., & Ma, X. (2020). A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins. Energy Conversion and Management, 211, Article 112772. https://doi.org/10.1016/j.enconman.2020.112772

This study is pioneered in developing digital twins using Feed-forward Neural Network (FFNN) and multi objective evolutionary optimization (MOEO) using Genetic Algorithm (GA) for a counter-flow Dew Point Cooler with a novel Guideless Irregular Heat a... Read More about A constraint multi-objective evolutionary optimization of a state-of-the-art dew point cooler using digital twins.

Hypnosis regulation in propofol anaesthesia employing super-twisting sliding mode control to compensate variability dynamics (2020)
Journal Article
Ilyas, M., Iqbal, J., Ahmad, S., Uppal, A. A., Imtiaz, W. A., & Riaz, R. A. (2020). Hypnosis regulation in propofol anaesthesia employing super-twisting sliding mode control to compensate variability dynamics. IET Systems Biology, 14(2), 59-67. https://doi.org/10.1049/iet-syb.2018.5080

Regulation of hypnosis level on bi-spectral index monitor (BIS) during a surgical procedure in propofol anaesthesia administration is a challenging task for an anaesthesiologist in multi-tasking environment of the operation theater. Automation in ana... Read More about Hypnosis regulation in propofol anaesthesia employing super-twisting sliding mode control to compensate variability dynamics.

Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme (2020)
Journal Article
Bian, W., Gope, P., Cheng, Y., & Li, Q. (2020). Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme. Future generations computer systems : FGCS, 109, 45-55. https://doi.org/10.1016/j.future.2020.03.034

The fingerprint has long been used as one of the most important biological features in the field of biometrics. It is person-specific and remain identical though out one’s lifetime. Physically uncloneable functions (PUFs) have been used in authentica... Read More about Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme.

Emerging challenges for HCI : enabling effective use of VR in education and training (2020)
Book Chapter
Gordon, N., & Brayshaw, M. (2020). Emerging challenges for HCI : enabling effective use of VR in education and training. In L. Bozgeyikli, & R. Bozgeyikli (Eds.), Virtual reality : recent advancements, applications and challenges. Gistrup, Denmark: River Publishers

This chapter considers some of the challenges in providing effective virtual reality (VR) environments for teaching and training, where users are encouraged and enabled to be truly engaged in their learning. One approach is to use inquiry-based learn... Read More about Emerging challenges for HCI : enabling effective use of VR in education and training.

A Cost Modeling Method Based on AADL2 (2020)
Presentation / Conference Contribution
Mian, Z., Tang, C., Gao, Y., Jia, S., Shi, X., & Chen, J. (2020). A Cost Modeling Method Based on AADL2. In 4th International Conference on System Reliability and Safety (ICSRS) (549-553). https://doi.org/10.1109/ICSRS48664.2019.8987612

The Architecture Analysis and Design Language (AADL) is widely used in the modeling, analysis and verification of the dependability-critical system. Previously, we have implemented the multi-objective (based on dependability and cost) architecture op... Read More about A Cost Modeling Method Based on AADL2.

Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS (2020)
Presentation / Conference Contribution
Mian, Z., Gao, Y., Shi, X., & Tang, C. (2020). Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS. In 4th International Conference on System Reliability and Safety (ICSRS) (539-543). https://doi.org/10.1109/ICSRS48664.2019.8987619

Currently, AADL has gradually become as one of the standards for the architecture design of complex embedded system. It is widely used in aerospace, automotive electronics and other fields for the design and analysis of high dependability-critical sy... Read More about Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS.

A systematic review of adaptive wildlife management for the control of invasive, non-native mammals, and other human–wildlife conflicts (2020)
Journal Article
Richardson, S., Mill, A., Davis, D., Jam, D., & Ward, A. (2020). A systematic review of adaptive wildlife management for the control of invasive, non-native mammals, and other human–wildlife conflicts. Mammal Review, 50(2), 147-156. https://doi.org/10.1111/mam.12182

1. We are entering an era where species declines are occurring at their fastest ever rate, and the increased spread of non-native species is among the top causes. High uncertainty in biological processes makes the accurate prediction of the outcomes... Read More about A systematic review of adaptive wildlife management for the control of invasive, non-native mammals, and other human–wildlife conflicts.

Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter (2020)
Journal Article
Ullah, S., Mehmood, A., Khan, Q., Rehman, S., & Iqbal, J. (2020). Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter. International journal of control, automation and systems, 18(7), 1671-1678. https://doi.org/10.1007/s12555-019-0302-3

In this paper, a robust backstepping integral sliding mode control (RBISMC) technique is designed for the flight control of a quadcopter, which is an under-actuated nonlinear system. First, the mathematical model of this highly coupled and under-actu... Read More about Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter.

Estimation of Surgical Needle Insertion Force Using Kalman Filter (2020)
Journal Article
Jafri, S. R. U. N., Jamshaid, A., Jafri, S. M. U. N., & Iqbal, J. (2020). Estimation of Surgical Needle Insertion Force Using Kalman Filter. Journal of Electrical Engineering & Technology, 15(2), 899-906. https://doi.org/10.1007/s42835-020-00355-3

This paper presents a novel low-cost technique to measure the insertion force of a surgical needle on a testing surface to check needle strength. A combination of a load cell with a current sensor for a linear DC motor has been used to estimate the i... Read More about Estimation of Surgical Needle Insertion Force Using Kalman Filter.

On the improvement of calibration accuracy of parallel robots - Modeling and optimization (2020)
Journal Article
Bentaleb, T., & Iqbal, J. (2020). On the improvement of calibration accuracy of parallel robots - Modeling and optimization. Journal of Theoretical and Applied Mechanics (Poland), 58(1), 261-272. https://doi.org/10.15632/JTAM-PL/115863

This paper proposes kinematic based calibration methods for Delta parallel robots. The boundary of the robot workspace is computed using a forward kinematic model. Influence of errors in kinematic parameters on the workspace boundaries is investigate... Read More about On the improvement of calibration accuracy of parallel robots - Modeling and optimization.

Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy (2020)
Journal Article
Tambe, N., Pires, I. M., Moore, C., Cawthorne, C., & Beavis, A. (2020). Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy. British Journal of Radiology, 93(1106), https://doi.org/10.1259/bjr.20190535

Objectives: Radiotherapy plan quality may vary considerably depending on planner's experience and time constraints. The variability in treatment plans can be assessed by calculating the difference between achieved and the optimal dose distribution. T... Read More about Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy.

Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes (2020)
Journal Article
Yang, X., Han, X., Li, Q., He, L., Pang, M., & Jia, C. (2020). Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes. IEEE Access, 8, 40861-40880. https://doi.org/10.1109/ACCESS.2020.2976847

With the rapid development of point cloud processing technologies and the availability of a wide range of 3D capturing devices, a geometric object from the real world can be directly represented digitally as a dense and fine point cloud. Decomposing... Read More about Developing a Semantic-Driven Hybrid Segmentation Method for Point Clouds of 3D Shapes.

Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis (2020)
Journal Article
Ćuković, S. M., Taylor, W., Luković, V., Ghionea, I., Baizid, K., Iqbal, J., & Karuppasamy, S. (2020). Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis. Computer-Aided Design and Applications, 17(6), 1313-1325. https://doi.org/10.14733/cadaps.2020.1313-1325

In this paper, we developed a methodology for a non-invasive 3D diagnosis based on a digitized dorsal surface of the patient enabling assessment and monitoring of Adolescent Idiopathic Scoliosis (AIS). We applied a novel 3D registration algorithm, wh... Read More about Rigid 3d registration algorithm for localization of the vertebral centroids in 3d deformity models of adolescent idiopathic scoliosis.

Robust Sliding Mode Control for Flexible Joint Robotic Manipulator via Disturbance Observer (2019)
Journal Article
Alam, W., Ahmad, S., Mehmood, A., & Iqbal, J. (2019). Robust Sliding Mode Control for Flexible Joint Robotic Manipulator via Disturbance Observer. Interdisciplinary Description of Complex Systems, 17(1), 85-97. https://doi.org/10.7906/indecs.17.1.11

In a flexible joint robotic manipulator, parametric variations and external disturbances result in mismatch uncertainties thus posing a great challenge in terms of manipulator’s control. This article investigates non-linear control algorithms for des... Read More about Robust Sliding Mode Control for Flexible Joint Robotic Manipulator via Disturbance Observer.

Model-Based Safety and Assessment: 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16–18, 2019, Proceedings (2019)
Presentation / Conference Contribution
(2019, October). Model-Based Safety and Assessment: 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16–18, 2019, Proceedings. Presented at 6th International Symposium, IMBSA: International Symposium on Model-Based Safety and Assessment, Thessaloniki, Greece

This book constitutes the proceedings of the 6th International Symposium on Model-Based Safety and Assessment, IMBSA 2019, held in Thessaloniki, Greece, in October 2019. The 24 revised full papers presented were carefully reviewed and selected fr... Read More about Model-Based Safety and Assessment: 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16–18, 2019, Proceedings.

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography (2019)
Journal Article
Huang, C., Lan, Y., Chen, S., Liu, Q., Luo, X., Xu, G., Zhou, W., Lin, F., Peng, Y., Ng, E. Y. K., Cheng, Y., Zeng, N., Zhang, G., & Che, W. (2019). Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography. Complexity, 2019, 1-10. https://doi.org/10.1155/2019/5712594

Despite the new ideas were inspired in medical treatment by the rapid advancement of three-dimensional (3D) printing technology, there is still rare research work reported on 3D printing of coronary arteries being documented in the literature. In thi... Read More about Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography.