Welcome to UWE Bristol Research Repository

Cache sharing in UAV-enabled cellular network: A deep reinforcement learning-based approach (2024)
Journal Article
Muslih, H., Ahsan Kazmi, S. M., Mazzara, M., & Baye, G. (2024). Cache sharing in UAV-enabled cellular network: A deep reinforcement learning-based approach. IEEE Access, 12, 43422-43435. https://doi.org/10.1109/ACCESS.2024.3379323

Caching content at base stations has proven effective at reducing transmission delays. This paper investigates the caching problem in a network of highly dynamic cache-enabled Unmanned Aerial Vehicles (UAVs), which serve ground users as aerial base s... Read More about Cache sharing in UAV-enabled cellular network: A deep reinforcement learning-based approach.

Building height and density effects related to winter and summer temperature and precipitation simulation based on Local Climate Zones in a coastal city: A case study of Istanbul (2024)
Presentation / Conference
Chun, K., Ezber, Y., Toker, E., Octavianti, T., & Danaila, L. (2024, May). Building height and density effects related to winter and summer temperature and precipitation simulation based on Local Climate Zones in a coastal city: A case study of Istanbul. Presented at 8th international Med-CORDEX Workshop, Rome

The temperature and precipitation extremes of coastal cities are modulated by land-atmospheric interactions and modified land surfaces. Local climate zones are used as land use representations in a convection-permitting model to simulate precipitatio... Read More about Building height and density effects related to winter and summer temperature and precipitation simulation based on Local Climate Zones in a coastal city: A case study of Istanbul.

Exploring continental convection-permitting model simulations for South America: Cross-correlation dynamics between precipitation and temperature time series at Sao Paulo (2024)
Presentation / Conference
Chun, K. P., Octavianti, T., Tyralis, H., Papacharalampous, G., da Rocha, R. P., Toker, E., …Kahana, R. (2024, April). Exploring continental convection-permitting model simulations for South America: Cross-correlation dynamics between precipitation and temperature time series at Sao Paulo. Presented at EGU General Assembly 2024, Vienna, Austria

Increasing spatial resolution to kilometre scales allows the deactivation of deep convection parameterisation schemes. As a result of various global initiatives for the next generation of climate studies, continental convection-permitting model (CPM)... Read More about Exploring continental convection-permitting model simulations for South America: Cross-correlation dynamics between precipitation and temperature time series at Sao Paulo.

Exploring the multidimensional challenges in integrating Design for Safety (DfS) in the Ghanaian construction industry (2024)
Journal Article
Acheampong, A., Adjei, E. K., Adade-Boateng, A. O., Kissi, E., Manu, P., & Atibila, D. W. (in press). Exploring the multidimensional challenges in integrating Design for Safety (DfS) in the Ghanaian construction industry. Journal of Engineering, Design and Technology, https://doi.org/10.1108/jedt-11-2023-0481

Purpose – The uptake of Design for Safety (DfS) practices in developing countries like Ghana has been limited. This research aimed to provide an in-depth understanding of the barriers across regulatory, organizational, cultural, and educational dimen... Read More about Exploring the multidimensional challenges in integrating Design for Safety (DfS) in the Ghanaian construction industry.

The RNA revolution and cancer (2024)
Journal Article
Dlamini, Z., Ladomery, M., & Kahraman, A. (2024). The RNA revolution and cancer. Frontiers in Endocrinology, 15, Article 1422599. https://doi.org/10.3389/fendo.2024.1422599

RNA biology has revolutionized cancer understanding and treatment, especially in endocrine-related malignancies. This editorial highlights RNA's crucial role in cancer progression, emphasizing its influence on tumor heterogeneity and behavior. Proces... Read More about The RNA revolution and cancer.