Outputs (4350)

Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM (2024)
Presentation / Conference Contribution
Patil, P., Wei, Z., Petrunin, I., & Guo, W. (2024, June). Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM. Presented at 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA

Radio frequency (RF) communication systems are the backbone of many intelligent transport and aerospace operations, ensuring safety, connectivity, and efficiency. Accurate classification of RF transmitters is vital to achieve safe and reliable functi... Read More about Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM.

Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1 (2024)
Journal Article
Hamedani, P., Fazel, S. S., & Shahbazi, M. (2025). Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1. International Journal of Engineering, 38(3), 528-538. https://doi.org/10.5829/ije.2025.38.03c.02

Regeneration of electric energy during braking is an important issue in electric railway systems. Especially in older electric railway systems that have non-reversible DC traction substations, the goal is to modify the structure of the DC traction su... Read More about Energy Consumption Assessment in A DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1.

Road Supervised Federated Learning with Bug-Aware Sensor Placement (2024)
Journal Article
Chen, J., Wang, S., Liu, C., Ng, D. W. K., Xu, C., Hao, Q., & Lu, H. (2024). Road Supervised Federated Learning with Bug-Aware Sensor Placement. IEEE Transactions on Vehicular Technology, 73(12), 19762-19767. https://doi.org/10.1109/tvt.2024.3439105

Federated learning (FL) emerges as a promising solution to enhance autonomous driving (AD) models against out-of-distribution (OOD) data. However, OOD instances often lack labels, rendering conventional FL approaches less effective in AD. This paper... Read More about Road Supervised Federated Learning with Bug-Aware Sensor Placement.

Future projection of droughts in Morocco and potential impact on agriculture (2024)
Journal Article
Gumus, V., El Moçayd, N., Seker, M., & Seaid, M. (2024). Future projection of droughts in Morocco and potential impact on agriculture. Journal of Environmental Management, 367, Article 122019. https://doi.org/10.1016/j.jenvman.2024.122019

The present study evaluates the future drought hazard in Morocco using a Multi-Model Ensemble (MME) approach. First, the artificial neural network-based MME is constructed using the General Circulation Models (GCMs) from the Climat... Read More about Future projection of droughts in Morocco and potential impact on agriculture.

Cranial bone microarchitecture in a mouse model for syndromic craniosynostosis (2024)
Journal Article
Ajami, S., Van den Dam, Z., Hut, J., Savery, D., Chin, M., Koudstaal, M., Steacy, M., Carriero, A., Pitsillides, A., Chang, Y., Rau, C., Marathe, S., Dunaway, D., Jeelani, N. U. O., Schievano, S., Pauws, E., & Borghi, A. (2024). Cranial bone microarchitecture in a mouse model for syndromic craniosynostosis. Journal of Anatomy, 245(6), 864-873. https://doi.org/10.1111/joa.14121

Crouzon syndrome is a congenital craniofacial disorder caused by mutations in the Fibroblast Growth Factor Receptor 2 (FGFR2). It is characterized by the premature fusion of cranial sutures, leading to a brachycephalic head shape, and midfacial hypop... Read More about Cranial bone microarchitecture in a mouse model for syndromic craniosynostosis.

Dual polarity multi-level boost DC-DC converter (2024)
Presentation / Conference Contribution
Blackhorse-Hull, D., Mohanan-Leela, P., Alsafrani, A., Sarma, N., Crabtree, C., & Horsfall, A. (2024, June). Dual polarity multi-level boost DC-DC converter. Presented at 13th International Conference on Power Electronics, Machines and Drives (PEMD 2024), Nottingham, UK

Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration (2024)
Presentation / Conference Contribution
Khadijah Hamzah, S., Kazemtabrizi, B., & Shahbazi, M. (2024, June). Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration. Presented at PEMD 2024: Power Electronics, Machines and Drives 13th International Conference, Nottingham, UK

Renewable energy-based power systems are highly influenced by weather, creating uncertainty and variability in output that fluctuates over time, making the balancing of supply and demand much more challenging. A deterministic optimisation tool has li... Read More about Minimising the Impact of Contingency in Multiple-Period Short Term Operational Planning with RAS-FUBM For Wind Integration.

Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1 (2024)
Journal Article
Hamedani, P., Fazel, S. S., & Shahbazi, M. (2024). Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1. Journal of Electrical and Computer Engineering Innovations, 12(2), 439-448. https://doi.org/10.22061/jecei.2024.10665.728

Background and Objectives: Modeling and simulation of electric railway networks is an important issue due to their non-linear and variant nature. This problem becomes more serious with the enormous growth in public transportation tracks and the numbe... Read More about Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1.

Enhancing lecture capture with deep learning (2024)
Journal Article
Sales, R. M., & Giani, S. (2024). Enhancing lecture capture with deep learning. Advances in Engineering Software, 196, Article 103732. https://doi.org/10.1016/j.advengsoft.2024.103732

This paper provides an insight into the development of a state-of-the-art video processing system to address limitations within Durham University’s ‘Encore’ lecture capture solution. The aim of the research described in this paper is to digitally rem... Read More about Enhancing lecture capture with deep learning.

A SWOT Analysis approach for the development of Photovoltaic (PV) energy in Northern Nigeria (2024)
Journal Article
Bisu, A. A., Ahmed, T. G., Ahmad, U. S., & Maiwada, A. D. (2024). A SWOT Analysis approach for the development of Photovoltaic (PV) energy in Northern Nigeria. Cleaner Energy Systems, 9, Article 100128. https://doi.org/10.1016/j.cles.2024.100128

This research employs a comprehensive Strengths, Weaknesses, Opportunities, Threats (SWOT) analysis to investigate the advancement of photovoltaic (PV) energy in Northern Nigeria. The study delves into the intricacies of introducing PV systems within... Read More about A SWOT Analysis approach for the development of Photovoltaic (PV) energy in Northern Nigeria.