All Outputs (740)

Model predictive control of consensus-based energy management system for DC microgrid (2023)
Journal Article
Ali, S. U., Waqar, A., Aamir, M., Qaisar, S. M., & Iqbal, J. (2023). Model predictive control of consensus-based energy management system for DC microgrid. PLoS ONE, 18(1), Article e0278110. https://doi.org/10.1371/journal.pone.0278110

The increasing deployment and exploitation of distributed renewable energy source (DRES) units and battery energy storage systems (BESS) in DC microgrids lead to a promising research field currently. Individual DRES and BESS controllers can operate a... Read More about Model predictive control of consensus-based energy management system for DC microgrid.

A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites (2023)
Journal Article
Wan, L., Ismail, Y., Sheng, Y., Ye, J., & Yang, D. (2023). A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites. Composites Part C: Open Access, 10, Article 100348. https://doi.org/10.1016/j.jcomc.2023.100348

The recent decades have seen various attempts at the numerical modelling of fibre-reinforced polymer (FRP) composites in the aerospace, auto and marine sectors due to their excellent mechanical properties. However, it is still challenging to accurate... Read More about A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites.

A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds (2023)
Journal Article
Riaz, S., Qi, R., Tutsoy, O., & Iqbal, J. (2023). A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds. PLoS ONE, 18(1), Article e0279253. https://doi.org/10.1371/journal.pone.0279253

High precision demands in a large number of emerging robotic applications strengthened the role of the modern control laws in the position control of the Permanent Magnet Synchronous Motor (PMSM) servo system. This paper proposes a learning-based ada... Read More about A novel adaptive PD-type iterative learning control of the PMSM servo system with the friction uncertainty in low speeds.

A featureless approach for object detection and tracking in dynamic environments (2023)
Journal Article
Zohaib, M., Ahsan, M., Khan, M., & Iqbal, J. (2023). A featureless approach for object detection and tracking in dynamic environments. PLoS ONE, 18(1), Article e0280476. https://doi.org/10.1371/journal.pone.0280476

One of the challenging problems in mobile robotics is mapping a dynamic environment for navigating robots. In order to disambiguate multiple moving obstacles, state-of-art techniques often solve some form of dynamic SLAM (Simultaneous Localization an... Read More about A featureless approach for object detection and tracking in dynamic environments.

Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies (2023)
Journal Article
Javaid, U., Mehmood, A., Iqbal, J., & Uppal, A. A. (2023). Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies. Energy, 269, Article 126717. https://doi.org/10.1016/j.energy.2023.126717

In this research work, a Neural Network (NN) and Uniform Robust Exact Differentiator (URED) observer-based Fast Terminal Integral Sliding Mode Control (FTISMC) has been proposed for Oxygen Excess Ratio (OER) regulation of a Polymer Electrolyte Membra... Read More about Neural network and URED observer based fast terminal integral sliding mode control for energy efficient polymer electrolyte membrane fuel cell used in vehicular technologies.

This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy (2023)
Journal Article
Chatterjee, J., & Dethlefs, N. (2023). This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy. Patterns, 4(1), Article 100676. https://doi.org/10.1016/j.patter.2022.100676

We explore the recently released ChatGPT model, one of the most powerful conversational AI models that has ever been developed. This opinion provides a perspective on its strengths and weaknesses and a call to action for the AI community (including a... Read More about This new conversational AI model can be your friend, philosopher, and guide ... and even your worst enemy.

Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients (2023)
Journal Article
Saleem, O., & Iqbal, J. (2023). Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients. Measurement and Control, https://doi.org/10.1177/00202940231189504

Type-I Diabetes (TID) is a chronic autoimmune disease that elevates the glucose levels in the patient’s bloodstream. This paper formulates a fractional complex-order Proportional-Integral-Derivative (PID) control strategy for robust Blood Glucose (BG... Read More about Complex-order PID controller design for enhanced blood-glucose regulation in Type-I diabetes patients.

Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images (2022)
Journal Article
Quintero, P., Benoit, D., Cheng, Y., Moore, C., & Beavis, A. (2022). Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images. Physics in Medicine and Biology, 67(24), Article 245001. https://doi.org/10.1088/1361-6560/aca38a

Machine learning (ML) methods have been implemented in radiotherapy to aid virtual specific-plan verification protocols, predicting gamma passing rates (GPR) based on calculated modulation complexity metrics because of their direct relation to dose d... Read More about Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images.

Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective (2022)
Journal Article
Al-Qora’n, L., Salem, O. A. S., & Gordon, N. (2022). Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective. Computers, 11(12), Article 175. https://doi.org/10.3390/computers11120175

The way that education is delivered changed significantly during the COVID-19 pandemic to be completely online in many countries for many institutions. Despite the fact that they are not online teaching platforms, virtual meeting platforms were utili... Read More about Heuristic Evaluation of Microsoft Teams as an Online Teaching Platform: An Educators’ Perspective.

Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging (2022)
Journal Article
Ahmad, A., Khalid, M., Ullah, Z., Ahmad, N., Aljaidi, M., Malik, F. A., & Manzoor, U. (2022). Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging. Energies, 15(24), Article 9471. https://doi.org/10.3390/en15249471

The rise of the intelligent, local charging facilitation and environmentally friendly aspects of electric vehicles (EVs) has grabbed the attention of many end-users. However, there are still numerous challenges faced by researchers trying to put EVs... Read More about Electric Vehicle Charging Modes, Technologies and Applications of Smart Charging.

A novel approach for 3D discrete element modelling the progressive delamination in unidirectional CFRP composites (2022)
Journal Article
Wan, L., Sheng, Y., McCarthy, E. D., & Yang, D. (2023). A novel approach for 3D discrete element modelling the progressive delamination in unidirectional CFRP composites. Engineering Fracture Mechanics, 277, Article 108982. https://doi.org/10.1016/j.engfracmech.2022.108982

This study proposed a novel approach based on the 3D discrete element method (DEM) to simulate the progressive delamination in unidirectional carbon fibre reinforced polymer (CFRP) composite laminates. A hexagonal packing strategy was used for modell... Read More about A novel approach for 3D discrete element modelling the progressive delamination in unidirectional CFRP composites.

Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device (2022)
Journal Article
Jenner, L. C., Kureshi, R. R., White, D., Chapman, E., Sadofsky, L. R., & Rotchell, J. M. (2022). Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device. Atmosphere, 13(12), Article 2017. https://doi.org/10.3390/atmos13122017

Atmospheric microplastics (MPs) are a ubiquitous environmental contaminant of emerging concern. Sampling methods provide information relating to surface area concentration and MP characteristics, without direct comparison with routinely measured stan... Read More about Outdoor Microplastic Analysis Using Inlet Filters from an NOx Regulatory Air Quality Monitoring Device.

Deep reinforcement learning-based long-range autonomous valet parking for smart cities (2022)
Journal Article
Khalid, M., Wang, L., Wang, K., Aslam, N., Pan, C., & Cao, Y. (2023). Deep reinforcement learning-based long-range autonomous valet parking for smart cities. Sustainable Cities and Society SCC, 89, Article 104311. https://doi.org/10.1016/j.scs.2022.104311

In this paper, to reduce the congestion rate at the city center and increase the traveling quality of experience (QoE) of each user, the framework of long-range autonomous valet parking is presented. Here, an Autonomous Vehicle (AV) is deployed to pi... Read More about Deep reinforcement learning-based long-range autonomous valet parking for smart cities.

Creating a Classification Module to Analysis the Usage of Mobile Health Apps (2022)
Journal Article
Azuma, K., Al Jaber, T., & Gordon, N. (2022). Creating a Classification Module to Analysis the Usage of Mobile Health Apps. Acta Scientific Computer Sciences, 4(12), 34-42

With an ageing society becoming a major issue for many countries, health-related concerns are growing and mobile health applications (MHAs) are rapidly gaining users. The applications available range from those that promote exercise to maintain healt... Read More about Creating a Classification Module to Analysis the Usage of Mobile Health Apps.

Linking sustainability and spirituality: a preliminary assessment in pursuit of a sustainable and ethically correct world (2022)
Journal Article
Leal Filho, W., Salvia, A. L., Ulluwishewa, R., Abubakar, I. R., Mifsud, M., LeVasseur, T. J., Correia, V., McCrea, A., Consorte-McCrea, A., do Paço, A., Paço, A., Fritzen, B., Ray, S., Gordon, N., Luetz, J., Luetz, J. M., Borsari, B., Venkatesan, M., Mukul, S., Mukul, S. A., …Farrugia, E. (2022). Linking sustainability and spirituality: a preliminary assessment in pursuit of a sustainable and ethically correct world. Journal of cleaner production, 380, Article 135091. https://doi.org/10.1016/j.jclepro.2022.135091

The influence of humanity on the environment and the use of natural resources may be affected by spirituality, through awareness for developing a greater conscience about the implications of human actions and needs to adjust these in achieving sustai... Read More about Linking sustainability and spirituality: a preliminary assessment in pursuit of a sustainable and ethically correct world.

Sex and gametogenesis stage are strong drivers of gene expression in Mytilus edulis exposed to environmentally relevant plasticiser levels and pH 7.7 (2022)
Journal Article
Mincarelli, L., Chapman, E. C., Rotchell, J. M., Turner, A., & Wollenberg Valero, K. C. (in press). Sex and gametogenesis stage are strong drivers of gene expression in Mytilus edulis exposed to environmentally relevant plasticiser levels and pH 7.7. Environmental science and pollution research, https://doi.org/10.1007/s11356-022-23801-3

Plastic pollution and changes in oceanic pH are both pressing environmental issues. Little emphasis, however, has been placed on the influence of sex and gametogenesis stage when investigating the effects of such stressors. Here, we examined histolog... Read More about Sex and gametogenesis stage are strong drivers of gene expression in Mytilus edulis exposed to environmentally relevant plasticiser levels and pH 7.7.

A Slenderness-Based Method for Web Crippling Design of Aluminum Tubular Sections (2022)
Journal Article
Bock, M., Gupta, S., Hassanein, M. F., & Sheng, Y. (2022). A Slenderness-Based Method for Web Crippling Design of Aluminum Tubular Sections. Journal of Structural Engineering, 148(12), https://doi.org/10.1061/JSENDH/STENG-11796

Existing web crippling design provisions available in European, American, and Australian/New Zealand standards are based on empiric equations that differ from the approach adopted for the treatment of other instabilities such as local or overall buck... Read More about A Slenderness-Based Method for Web Crippling Design of Aluminum Tubular Sections.

Frailty Assessment in UK and Irish Vascular Centres (FAVE): A survey to investigate data collection methods and impact on clinical practice (2022)
Journal Article
Hitchman, L. H., Palmer, J., Lathan, R., Totty, J., Smith, G. E., Carradice, D., & Chetter, I. C. (in press). Frailty Assessment in UK and Irish Vascular Centres (FAVE): A survey to investigate data collection methods and impact on clinical practice. Journal of Vascular Societies Great Britain and Ireland,

Environmental and technical impacts of floating photovoltaic plants as an emerging clean energy technology (2022)
Journal Article
Pouran, H. M., Padilha Campos Lopes, M., Nogueira, T., Alves Castelo Branco, D., & Sheng, Y. (2022). Environmental and technical impacts of floating photovoltaic plants as an emerging clean energy technology. iScience, 25(11), Article 105253. https://doi.org/10.1016/j.isci.2022.105253

Floating photovoltaic (FPV) plants present several benefits in comparison with ground-mounted photovoltaics (PVs) and could have major positive environmental and technical impacts globally. FPVs do not occupy habitable and productive areas and can be... Read More about Environmental and technical impacts of floating photovoltaic plants as an emerging clean energy technology.

Evaluating floating photovoltaics (FPVs) potential in providing clean energy and supporting agricultural growth in Vietnam (2022)
Journal Article
Pouran, H., Padilha Campos Lopes, M., Ziar, H., Alves Castelo Branco, D., & Sheng, Y. (2022). Evaluating floating photovoltaics (FPVs) potential in providing clean energy and supporting agricultural growth in Vietnam. Renewable & sustainable energy reviews, 169, Article 112925. https://doi.org/10.1016/j.rser.2022.112925

Vietnam's promising economic growth has led to energy shortage, growing coal imports, and increasing carbon emissions. The country's electricity demand annual growth rate has been 12% in recent years and is projected to be 8–9% by 2030. In Vietnam 40... Read More about Evaluating floating photovoltaics (FPVs) potential in providing clean energy and supporting agricultural growth in Vietnam.