Outputs (839)

Q-rough sets, flicker modeling and unsupervised fire threat quantification from videos (2022)
Journal Article
Chakraborty, D. B., Detani, V., & Parshv Jigneshkumar, S. (2022). Q-rough sets, flicker modeling and unsupervised fire threat quantification from videos. Displays, 72, Article 102140. https://doi.org/10.1016/j.displa.2021.102140

This article defines new methods for unsupervised fire region segmentation and fire threat detection from the RGB video stream. Here, an unsupervised approach has been developed to determine the threat associated with fire. With this method, the thre... Read More about Q-rough sets, flicker modeling and unsupervised fire threat quantification from videos.

Adaptive FIT-SMC Approach for an Anthropomorphic Manipulator With Robust Exact Differentiator and Neural Network-Based Friction Compensation (2022)
Journal Article
Ali, K., Ullah, S., Mehmood, A., Mostafa, H., Marey, M., & Iqbal, J. (2022). Adaptive FIT-SMC Approach for an Anthropomorphic Manipulator With Robust Exact Differentiator and Neural Network-Based Friction Compensation. IEEE Access, 10, 3378-3389. https://doi.org/10.1109/ACCESS.2021.3139041

In robotic manipulators, feedback control of nonlinear systems with fast finite-time convergence is desirable. However, because of the parametric and model uncertainties, the robust control and tuning of the robotic manipulators pose many challenges... Read More about Adaptive FIT-SMC Approach for an Anthropomorphic Manipulator With Robust Exact Differentiator and Neural Network-Based Friction Compensation.

IoP System Dependability Evaluation Method Based on AADL (2022)
Journal Article
Shi, X., Mian, Z., & Gao, Y. (2022). IoP System Dependability Evaluation Method Based on AADL. Jisuanji Gongcheng/Computer Engineering, 48(1), 204-213. https://doi.org/10.19678/j.issn.1000-3428.0059738

The Internet of People(IoP)is characterized by the complex architecture and massive changing data, which adds to the difficulty of the analysis on IoP-based system dependability.Currently, there is still no robust dependability modelling and analysis... Read More about IoP System Dependability Evaluation Method Based on AADL.

Toward Efficient Mobile Electric Vehicle Charging under Heterogeneous Battery Switching Technology (2022)
Journal Article
Ahmad, A., Ullah, Z., Khalid, M., & Ahmad, N. (2022). Toward Efficient Mobile Electric Vehicle Charging under Heterogeneous Battery Switching Technology. Applied Sciences, 12(2), Article 904. https://doi.org/10.3390/app12020904

The fast increase in adoption and development of Electric Vehicles (EVs) has invited a significant challenge to the existing charging management techniques and infrastructure. It is necessary to efficiently manage a large number of mobile EVs. As com... Read More about Toward Efficient Mobile Electric Vehicle Charging under Heterogeneous Battery Switching Technology.

A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms (2022)
Journal Article
Walker, C., Rothon, C., Aslansefat, K., Papadopoulos, Y., & Dethlefs, N. (2022). A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms. Lecture notes in computer science, 13525 LNCS, 189-203. https://doi.org/10.1007/978-3-031-15842-1_14

With an increasing emphasis on driving down the costs of Operations and Maintenance (O &M) in the Offshore Wind (OSW) sector, comes the requirement to explore new methodology and applications of Deep Learning (DL) to the domain. Condition-based monit... Read More about A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms.

Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification (2022)
Journal Article
Ahmad, M., Khan, A. M., Mazzara, M., Distefano, S., Roy, S. K., & Wu, X. (2022). Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 3948-3957. https://doi.org/10.1109/JSTARS.2022.3171586

The nonlinear relation between the spectral information and the corresponding objects (complex physiognomies) makes pixelwise classification challenging for conventional methods. To deal with nonlinearity issues in hyperspectral image classification... Read More about Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification.

The Role of Gamification in a Software Development Lifecycle (2021)
Presentation / Conference Contribution
Gordon, N., Brayshaw, M., Dixon, J., Grey, S., & Parker, D. (2021, June). The Role of Gamification in a Software Development Lifecycle. Presented at INSPIRE XXVI International e-conference, Online

Teaching Software Engineering students raises a number of challenges; in particular that student developers typically demonstrate behaviours that run counter to good software development. These include failing to plan properly, failing to develop the... Read More about The Role of Gamification in a Software Development Lifecycle.

Terminal sliding mode control of an anthropomorphic manipulator with friction based observer (2021)
Presentation / Conference Contribution
Ali, K., Mehmood, A., & Iqbal, J. (2021, October). Terminal sliding mode control of an anthropomorphic manipulator with friction based observer. Presented at 2021 International Conference on Robotics and Automation in Industry (ICRAI), Rawalpindi, Pakistan

The role of modern control techniques has been instrumental in today’s robotic applications because of their increasing requirements for reliability, accuracy, productivity and repeatability. Robotic manipulators are highly non-linear systems with co... Read More about Terminal sliding mode control of an anthropomorphic manipulator with friction based observer.

Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets (2021)
Journal Article
Protasov, S., & Khan, A. M. (2021). Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets. Complexity, 2021, Article 2011738. https://doi.org/10.1155/2021/2011738

K-nearest neighbours (kNN) is a very popular instance-based classifier due to its simplicity and good empirical performance. However, large-scale datasets are a big problem for building fast and compact neighbourhood-based classifiers. This work pres... Read More about Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets.

NEAT Activity Detection using Smartwatch at Low Sampling Frequency (2021)
Presentation / Conference Contribution
Dewan, A., Gunturi, V. M., Naik, V., & Dutta, K. K. (2021, October). NEAT Activity Detection using Smartwatch at Low Sampling Frequency. Presented at 2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People, and Smart City Innovations, SmartWorld/ScalCom/UIC/ATC/IoP/SCI 2021, Atlanta, GA, USA

Our paper aims to build a classification model to discern the typical NEAT (Non-Exercise Activity Thermogenesis) activities done in a home setting. The concept of NEAT is broadly defined as the energy spent in everything which is not sleeping, eating... Read More about NEAT Activity Detection using Smartwatch at Low Sampling Frequency.