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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.

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 Using a Multi-Layer Deep Convolutional Neural Network in Dermoscopy Images (2023)
Journal Article
Azeem, M., Kiani, K., & Mansouri, T. (2023). SkinLesNet: Classification of Skin Lesions Using a Multi-Layer Deep Convolutional Neural Network in Dermoscopy Images. Cancers, 16(1), 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 Using a Multi-Layer Deep Convolutional Neural Network in Dermoscopy Images.

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.

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.