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Urban vegetable contamination - The role of adhering particles and their significance for human exposure. (2023)
Journal Article

While urban-grown vegetables could help combat future food insecurity, the elevated levels of toxic metals in urban soils need to be met with measures that minimise transfer to crops. The study firstly examines soil/dust particle inclusion in leafy v... Read More about Urban vegetable contamination - The role of adhering particles and their significance for human exposure..

Lecturer's pedagogical attributes and teaching quality for construction and engineering education in UK universities: mediating effect of research informed teaching (2023)
Journal Article

Purpose-Researchers have opined that the quality of commitment to pedagogical approaches by lecturers is one of the most important factors in determining student academic success. The purpose of this paper is to analyse the mediating effect of resear... Read More about Lecturer's pedagogical attributes and teaching quality for construction and engineering education in UK universities: mediating effect of research informed teaching.

Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm (2023)
Journal Article
Pruthviraja, D., Nagaraju, S. C., Mudligiriyappa, N., Raisinghani, M. S., Khan, S. B., Alkhaldi, N. A., & Malibari, A. A. (in press). Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm. Diagnostics, 13(16), 2687. https://doi.org/10.3390/diagnostics13162687

Deep learning is playing a major role in identifying complicated structure, and it outperforms in term of training and classification tasks in comparison to traditional algorithms. In this work, a local cloud-based solution is developed for classific... Read More about Detection of Alzheimer’s Disease Based on Cloud-Based Deep Learning Paradigm.

Computationally Modelling Cholesterol Metabolism and Atherosclerosis (2023)
Journal Article
Davies, C., Morgan, A. E., & Mc Auley, M. T. (2023). Computationally Modelling Cholesterol Metabolism and Atherosclerosis. Biology, 12(8), 1133. https://doi.org/10.3390/biology12081133

Cardiovascular disease (CVD) is the leading cause of death globally. The underlying pathological driver of CVD is atherosclerosis. The primary risk factor for atherosclerosis is elevated low-density lipoprotein cholesterol (LDL-C). Dysregulation of c... Read More about Computationally Modelling Cholesterol Metabolism and Atherosclerosis.

Rate and temperature dependent viscoelastic cohesive zone model for mode-idelamination of composites (2023)
Presentation / Conference Contribution

Introduction Initiation and propagation of delamination at room temperature and constant loading rates are modelled accurately by using bi-linear or exponential cohesive zone models (CZM) [1]. These "standard" traction-separation based models do not... Read More about Rate and temperature dependent viscoelastic cohesive zone model for mode-idelamination of composites.

A novel CNN gap layer for growth prediction of palm tree plantlings (2023)
Journal Article
Kumar, T. A., Rajmohan, R., Adeola Ajagbe, S., Gaber, T., Zeng, X.-J., & Masmoudi, F. (in press). A novel CNN gap layer for growth prediction of palm tree plantlings. PloS one, 18(8), e0289963. https://doi.org/10.1371/journal.pone.0289963

Monitoring palm tree seedlings and plantlings presents a formidable challenge because of the microscopic size of these organisms and the absence of distinguishing morphological characteristics. There is a demand for technical approaches that can prov... Read More about A novel CNN gap layer for growth prediction of palm tree plantlings.

Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs) (2023)
Journal Article
Alasali, F., El‐Naily, N., Saidi, A. S., Itradat, A., Holderbaum, W., & Mohamed, F. A. (in press). Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs). IET Renewable Power Generation, https://doi.org/10.1049/rpg2.12820

The high penetration of distribution generators (DGs), such as photovoltaic (PV), has made optimal overcurrent coordination a major concern for power protection. In the literature, the conventional single or multi‐objective function (OF) for phase ov... Read More about Highly sensitive multifunction protection coordination scheme for improved reliability of power systems with distributed generation (PVs).

HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs (2023)
Journal Article

Digital hemispherical photography (DHP) is widely used to derive forest biophysical variables including leaf, plant, and green area index (LAI, PAI and GAI), the fraction of intercepted photosynthetically active radiation (FIPAR), and the fraction of... Read More about HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs.

Seasonal development of a tidal mixing front drives shifts in community structure and diversity of bacterioplankton (2023)
Journal Article

Bacterioplankton underpin biogeochemical cycles and an improved understanding of the patterns and drivers of variability in their distribution is needed to determine their wider functioning and importance. Sharp environmental gradients and dispersal... Read More about Seasonal development of a tidal mixing front drives shifts in community structure and diversity of bacterioplankton.