Skip to main content

Research Repository

Advanced Search

All Outputs (410)

A novel routing optimization strategy based on reinforcement learning in perception layer networks (2023)
Journal Article
Tan, H., Ye, T., Rehman, S. U., ur Rehman, O., Tu, S., & Ahmad, J. (2023). A novel routing optimization strategy based on reinforcement learning in perception layer networks. Computer Networks, 237, 110105. https://doi.org/10.1016/j.comnet.2023.110105

Wireless sensor networks have become incredibly popular due to the Internet of Things’ (IoT) rapid development. IoT routing is the basis for the efficient operation of the perception-layer network. As a popular type of machine learning, reinforcement... Read More about A novel routing optimization strategy based on reinforcement learning in perception layer networks.

Numerical study of dissipative SW/MWCNT-nanofluid coating flow from a stretching wall to a porous medium with shape factor effects (2023)
Journal Article
Waqas, M., Kausar, M. S., Anwar Bég, O., Kuharat, S., Khan, W. A., Shukhratovich Abdullaev, S., & Fadhl, B. M. (2023). Numerical study of dissipative SW/MWCNT-nanofluid coating flow from a stretching wall to a porous medium with shape factor effects. International Journal of Hydrogen Energy, https://doi.org/10.1016/j.ijhydene.2023.05.036

A mathematical model is developed for incompressible steady-state dissipative CNT-aqueous nanofluid boundary layer flow from a stretching sheet to a saturated isotropic porous medium. Three different CNT shapes (spheres, blades and platelets) are con... Read More about Numerical study of dissipative SW/MWCNT-nanofluid coating flow from a stretching wall to a porous medium with shape factor effects.

A Review of the Disaster Risk Assessment Perspectives (2023)
Book Chapter
Munasinghe, D., Fernando, T., Keraminiyage, K., & Karunawardena, A. (2023). A Review of the Disaster Risk Assessment Perspectives. In Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023 (323-340). Springer. https://doi.org/10.1007/978-3-031-44296-4_18

Researchers have explored different risk assessment approaches from the perspectives of different disciplines to capture urban risks, resulting in many risk assessment frameworks. In these frameworks, the risk environment is analysed using different... Read More about A Review of the Disaster Risk Assessment Perspectives.

Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization (2023)
Journal Article
Khan, S. B., Alojail, M., & Al Moteri, M. (in press). Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization. Mathematics, 12(1), 119. https://doi.org/10.3390/math12010119

Disability management in information systems refers to the process of ensuring that digital technologies and applications are designed to be accessible and usable by individuals with disabilities. Traditional methods face several challenges such as p... Read More about Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization.

SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network (2023)
Journal Article
Azeem, M., Kiani, K., Mansouri, T., & Topping, N. (2023). SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network. Cancers, 16(1), 108. https://doi.org/10.3390/cancers16010108

Skin cancer is a widespread disease that typically develops on the skin due to frequent exposure to sunlight. Although cancer can appear on any part of the human body, skin cancer accounts for a significant proportion of all new cancer diagnoses worl... Read More about SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network.

Near-infrared digital hemispherical photography enables correction of plant area index for woody material during leaf-on conditions (2023)
Journal Article
Brown, L., Morris, H., Morrone, R., Sinclair, M., Williams, O., Hunt, M., …Dash, J. (2024). Near-infrared digital hemispherical photography enables correction of plant area index for woody material during leaf-on conditions. Ecological Informatics, 79, https://doi.org/10.1016/j.ecoinf.2023.102441

Indirect optical measurement techniques enable efficient and non-destructive estimation of plant area index (PAI). However, because they cannot distinguish between foliage and other canopy elements, corrections are needed to determine leaf area index... Read More about Near-infrared digital hemispherical photography enables correction of plant area index for woody material during leaf-on conditions.

Toward Estimating Noise–Power–Distance Curves for Propeller-Powered Zero-Emission Hydrogen Aircraft (2023)
Journal Article
Amargianitakis, D. C., Self, R. H., Torija, A. J., Proença, A. R., & Synodinos, A. P. (2023). Toward Estimating Noise–Power–Distance Curves for Propeller-Powered Zero-Emission Hydrogen Aircraft. Journal of Aircraft, 1-18. https://doi.org/10.2514/1.c037194

As part of the UK Research and Innovation project New Aviation, Propulsion, Knowledge and Innovation Network (NAPKIN), a high-level framework was developed for the assessment of the noise impact of the proposed regional-sized hydrogen-powered aircraf... Read More about Toward Estimating Noise–Power–Distance Curves for Propeller-Powered Zero-Emission Hydrogen Aircraft.

A novel autoencoder for structural anomalies detection in river tunnel operation (2023)
Journal Article
TAN, X., Palaiahnakote, S., Chen, W., Cheng, K., & Du, B. (2024). A novel autoencoder for structural anomalies detection in river tunnel operation. Expert systems with applications, 244, https://doi.org/10.1016/j.eswa.2023.122906

Anomaly diagnosis is essential to prevent disasters and ensure long-term stable operation of tunnels. However, the diversity and scarcity of abnormal data make it difficult to identify outliers, especially to diagnose structural anomalies from poor-q... Read More about A novel autoencoder for structural anomalies detection in river tunnel operation.

Green Activism (2023)
Book Chapter
Hardman, M. (2023). Green Activism. In K. Van Assche, R. Beunen, & M. Duineveld (Eds.), Elgar Encyclopedia in Urban and Regional Planning and Design (164 - 165). Edward Elgar Publishing

The Effect of the El Nino Southern Oscillation on Precipitation Extremes in the Hindu Kush Mountains Range (2023)
Journal Article
Masood, M. U., Haider, S., Rashid, M., Lodhi, M. U. K., Pande, C. B., Alshehri, F., …Sammen, S. S. (in press). The Effect of the El Nino Southern Oscillation on Precipitation Extremes in the Hindu Kush Mountains Range. Water, 15(24), 4311. https://doi.org/10.3390/w15244311

The El Nino Southern Oscillation (ENSO) phenomenon is devastating as it negatively impacts global climatic conditions, which can cause extreme events, including floods and droughts, which are harmful to the region’s economy. Pakistan is also consider... Read More about The Effect of the El Nino Southern Oscillation on Precipitation Extremes in the Hindu Kush Mountains Range.

Supporting Climate-Resilient Urban Planning: 10 Lessons from Cities in Southern Africa (2023)
Report
Bharwani, S., David Daron, J., Siame, G., Jones, R., Mcclure, A., Jack, C., …O'Shea, T. (2023). Supporting Climate-Resilient Urban Planning: 10 Lessons from Cities in Southern Africa. UKAid, NERC & Future Climate For Africa

This brief presents key insights on integrating climate information into climate change-related adaptation planning in African cities. The projects – FRACTAL (Future Resilience for African CiTies And Lands) and its successor, FRACTAL-Plus – took plac... Read More about Supporting Climate-Resilient Urban Planning: 10 Lessons from Cities in Southern Africa.

From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination. (2023)
Journal Article
Nandi, R., Mondal, S., Mandal, J., & Bhattacharyya, P. (2024). From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination. Science of the Total Environment, 912, 169323. https://doi.org/10.1016/j.scitotenv.2023.169323

Fluoride (F ) contamination of groundwater is a prevalent environmental issue threatening public health worldwide and in India. This study targets an investigation into spatial distribution and contamination sources of fluoride in Dhanbad, India, to... Read More about From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination..

Advanced (photo)electrocatalytic approaches to substitute the use of fossil fuels in chemical production (2023)
Journal Article
Centi, G., Perathoner, S., Genovese, C., & Arrigo, R. (in press). Advanced (photo)electrocatalytic approaches to substitute the use of fossil fuels in chemical production. Chemical Communications, 59(21), 3005-3023. https://doi.org/10.1039/d2cc05132j

Electrification of the chemical industry for carbon-neutral production requires innovative (photo)electrocatalysis. This study highlights the contribution and discusses recent research projects in this area, which are relevant case examples to explor... Read More about Advanced (photo)electrocatalytic approaches to substitute the use of fossil fuels in chemical production.

Hamiltonian-path based constraint reduction for deployable polyhedral mechanisms (2023)
Journal Article
Gu, Y., Zhang, X., Wei, G., & Chen, Y. (in press). Hamiltonian-path based constraint reduction for deployable polyhedral mechanisms. Mechanism and Machine Theory, 193, 105563. https://doi.org/10.1016/j.mechmachtheory.2023.105563

Most of the deployable polyhedral mechanisms (DPMs) are multi-loop overconstrained mechanisms that causes barriers for their applications due to the issues in assembly, operation and control. Yet, constraint reduction for these mult... Read More about Hamiltonian-path based constraint reduction for deployable polyhedral mechanisms.

Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics (2023)
Journal Article
Das, A., Joardar, M., De, A., Mridha, D., Ghosh, S., Das, B., …Roychowdhury, T. (in press). Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics. Journal of Hazardous Materials, 465, 133216. https://doi.org/10.1016/j.jhazmat.2023.133216

The present study depicts the true failed scenario of the arsenic (As) removal units (ARU) in West Bengal by evaluating their treated water quality. Annual As removal efficiency of the 12 studied ARUs range between 35.2% and 82.6%.... Read More about Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics.

Discovering the core stakeholders in the Nigerian urban water supply system (2023)
Journal Article
Gyau Baffour Awuah, K., & Bijimi, C. K. (2024). Discovering the core stakeholders in the Nigerian urban water supply system. #Journal not on list, 10(1), 8. https://doi.org/10.1007/s40899-023-00986-0

Core stakeholders’ engagement and involvement are now a sine qua non of resources administration and management. This followed the emergence of pluralistic forms of governance, which call for greater democracy and emphasises transparency, accountabil... Read More about Discovering the core stakeholders in the Nigerian urban water supply system.

Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data (2023)
Journal Article
Abdelwahab, M. M., Al-Karawi, K. A., Semary, H. E., Al-Karawi, K. A., & Semary, H. E. (in press). Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data. Biomedicines, 11(12), 3304. https://doi.org/10.3390/biomedicines11123304

Alzheimer’s disease is a genetically complex disorder, and microarray technology provides valuable insights into it. However, the high dimensionality of microarray datasets and small sample sizes pose challenges. Gene selection techniques have emerge... Read More about Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data.

Understanding the functioning of urban climate finance through topologies of reach (2023)
Journal Article
Grafe, F., Forino, G., Fraser, A., Hilbrandt, H., & Morris, J. H. (2023). Understanding the functioning of urban climate finance through topologies of reach. City, 1-16. https://doi.org/10.1080/13604813.2023.2284383

Urban climate action is increasingly understood through the lens of finance: through financial agendas, interests, and practical tools which enable ‘bankable’ or profitable interventions. While the literature is rife with criticism of the normative f... Read More about Understanding the functioning of urban climate finance through topologies of reach.

Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees (2023)
Journal Article
Faizan Ali, R., Dominic, P. D. D., Hina, S., & Naseer, S. (in press). Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees. International Journal of Information Security, https://doi.org/10.1007/s10207-023-00786-9

Oil and gas (O&G) organizations are progressively being digitalized in order to facilitate substantial information flow to remain competitive in the information age. This critical sector is spearheading the establishment of technical security measure... Read More about Fostering information security policies compliance with ISA-95-based framework: an empirical study of oil and gas employees.