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Analysis of Attitudes towards Food Waste in the Kingdom of Saudi Arabia Using Fuzzy Logic (2023)
Journal Article
Malibari, A., Alsawah, G., Saleh, W., & Lashin, M. M. A. (2023). Analysis of Attitudes towards Food Waste in the Kingdom of Saudi Arabia Using Fuzzy Logic. Sustainability, 15(4), Article 3668. https://doi.org/10.3390/su15043668

Attitudes and feelings towards food waste and positions on management policies have been vastly increased over the past few decades. Most of the available research on the analysis of attitudes towards food waste have been carried out using convention... Read More about Analysis of Attitudes towards Food Waste in the Kingdom of Saudi Arabia Using Fuzzy Logic.

Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification (2023)
Journal Article
Usmani, I. A., Qadri, M. T., Zia, R., Alrayes, F. S., Saidani, O., & Dashtipour, K. (2023). Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification. Electronics, 12(4), Article 964. https://doi.org/10.3390/electronics12040964

For classifying brain tumors with small datasets, the knowledge-based transfer learning (KBTL) approach has performed very well in attaining an optimized classification model. However, its successful implementation is typically affected by different... Read More about Interactive Effect of Learning Rate and Batch Size to Implement Transfer Learning for Brain Tumor Classification.

Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation (2023)
Journal Article
Wang, F., Xie, M., Tan, Z., Li, Q., & Wang, C. (2024). Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. IEEE Transactions on Emerging Topics in Computing, 12(1), 307 - 315. https://doi.org/10.1109/TETC.2023.3244174

In the era of big data, deep learning techniques provide intelligent solutions for various problems in real-life scenarios. However, deep neural networks depend on large-scale datasets including sensitive data, which causes the potential risk of priv... Read More about Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation.

Attacking Windows Hello for Business: Is It What We Were Promised? (2023)
Journal Article
Haddad, J., Pitropakis, N., Chrysoulas, C., Lemoudden, M., & Buchanan, W. J. (2023). Attacking Windows Hello for Business: Is It What We Were Promised?. Cryptography, 7(1), Article 9. https://doi.org/10.3390/cryptography7010009

Traditional password authentication methods have raised many issues in the past, including insecure practices, so it comes as no surprise that the evolution of authentication should arrive in the form of password-less solutions. This research aims to... Read More about Attacking Windows Hello for Business: Is It What We Were Promised?.

Market Manipulation in Stock and Power Markets: A Study of Indicator-Based Monitoring and Regulatory Challenges (2023)
Journal Article
Hao, Y., Vand, B., Delgado, B. M., & Baldi, S. (2023). Market Manipulation in Stock and Power Markets: A Study of Indicator-Based Monitoring and Regulatory Challenges. Energies, 16(4), Article 1894. https://doi.org/10.3390/en16041894

In recent years, algorithmic-based market manipulation in stock and power markets has considerably increased, and it is difficult to identify all such manipulation cases. This causes serious challenges for market regulators. This work highlights and... Read More about Market Manipulation in Stock and Power Markets: A Study of Indicator-Based Monitoring and Regulatory Challenges.

Multiple local symmetries result in a common average polar axis in high strain BiFeO3 based ceramics (2023)
Journal Article
Wang, G., Hu, T., Zhu, W., Lu, Z., Kleppe, A., Diaz Lopez, M., Feteira, A., Sinclair, D. C., Fu, Z., Huang, H., Wang, D., & Reaney, I. M. (2023). Multiple local symmetries result in a common average polar axis in high strain BiFeO3 based ceramics. Physical review letters, 130(7), https://doi.org/10.1103/PhysRevLett.130.076801

For the first time, the origin of large electrostrain in pseudocubic BiFeO3-based ceramics is verified with direct structural evidence backed by appropriate simulations. We employ advanced structural and microstructural characterisations of BiFeO3 ba... Read More about Multiple local symmetries result in a common average polar axis in high strain BiFeO3 based ceramics.

CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images (2023)
Journal Article
Liu, Q., Li, Y., Bilal, M., Liu, X., Zhang, Y., Wang, H., & Xu, X. (2023). CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 2481-2491. https://doi.org/10.1109/jstars.2023.3244336

In recent years, AI and Deep Learning (DL) methods have been widely used for object classification, recognition, and segmentation of high-resolution multispectral remote sensing images. These DL-based solutions perform better compare to traditional s... Read More about CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images.

Towards a Combined Physical and Social Evaluation of Climate Vulnerability in Coastal Urban Megacities (2023)
Journal Article
Kantamaneni, K., Li, Q., Wu, H., Zhu, M., Apostolopoulou, A., Xu, W., Kenawy, I., Rajendran, L. P., Rice, L., Jimenez-Bescos, C., Panneer, S., & Pushparaj, R. R. B. (2023). Towards a Combined Physical and Social Evaluation of Climate Vulnerability in Coastal Urban Megacities. Water, 15(4), Article 712. https://doi.org/10.3390/w15040712

Coastal urban megacities across Asia face significant risks from climate change, including coastal flooding, high temperatures, urban heat island impacts and air pollution. These hazards are associated with negative impacts on infrastructure, communi... Read More about Towards a Combined Physical and Social Evaluation of Climate Vulnerability in Coastal Urban Megacities.

Randomized block-coordinate adaptive algorithms for nonconvex optimization problems (2023)
Journal Article
Zhou, Y., Huang, K., Li, J., Cheng, C., Wang, X., Hussian, A., & Liu, X. (2023). Randomized block-coordinate adaptive algorithms for nonconvex optimization problems. Engineering Applications of Artificial Intelligence, 121, Article 105968. https://doi.org/10.1016/j.engappai.2023.105968

Nonconvex optimization problems have always been one focus in deep learning, in which many fast adaptive algorithms based on momentum are applied. However, the full gradient computation of high-dimensional feature vector in the above tasks become pro... Read More about Randomized block-coordinate adaptive algorithms for nonconvex optimization problems.

An Efficient Cross-Layer Authentication Scheme for Secure Communication in Vehicular Ad-hoc Networks (2023)
Journal Article
Shawky, M. A., Bottarelli, M., Epiphaniou, G., & Karadimas, P. (2023). An Efficient Cross-Layer Authentication Scheme for Secure Communication in Vehicular Ad-hoc Networks. IEEE Transactions on Vehicular Technology, 72(7), 8738 - 8754. https://doi.org/10.1109/TVT.2023.3244077

Intelligent transportation systems contribute to improved traffic safety by facilitating real-time communication between vehicles and infrastructures. In this context, message authentication is crucial to safeguard vehicular ad-hoc networks (VANETs)... Read More about An Efficient Cross-Layer Authentication Scheme for Secure Communication in Vehicular Ad-hoc Networks.

Facilities management strategic roles and services quality performance in Nigeria's banking sector (2023)
Journal Article
Ikediashi, D. I. (2024). Facilities management strategic roles and services quality performance in Nigeria's banking sector. Journal of Engineering, Design and Technology, 22(5), 1591-1615. https://doi.org/10.1108/JEDT-06-2022-0313

Purpose-Facilities management (FM) as a strategic management tool has been an attractive research topic among scholars and practitioners alike for decades. The primary purpose of this paper is threefold: to assess the extent of use of FM roles (strat... Read More about Facilities management strategic roles and services quality performance in Nigeria's banking sector.

Environmental impacts of upgrading gas to electric heating and cooling, considering decarbonisation of the electricity grid (2023)
Journal Article
Peukes, I. E., Pomponi, F., & D'Amico, B. (2023). Environmental impacts of upgrading gas to electric heating and cooling, considering decarbonisation of the electricity grid. Journal of Building Engineering, 68, Article 106066. https://doi.org/10.1016/j.jobe.2023.106066

Rising temperatures and higher energy costs have created the imperative for Australian households to reduce energy consumption via more efficient heating and cooling systems. These energy efficient systems could lower the overall environmental impact... Read More about Environmental impacts of upgrading gas to electric heating and cooling, considering decarbonisation of the electricity grid.

GB2609450 - Borehole water pump (2023)
Patent
Azeem Islam, A. U., Njuguna, J., & Muhammad Sukki, F. (2023). GB2609450 - Borehole water pump. GB2609450A

A water pump system for use in borehole, the pump system comprising a pumping chamber or cylinder having piston configured to reciprocate in a direction substantially perpendicular to the borehole axis. The piston may be elongate having a major dimen... Read More about GB2609450 - Borehole water pump.

Distribution of Currents in 2 × 25 kV Electric Railway Systems under Normal Conditions (2023)
Journal Article
Sorrentino, E., Gupta, N., Montilla-DJesus, M., & Arriaga, P. (2023). Distribution of Currents in 2 × 25 kV Electric Railway Systems under Normal Conditions. International Transactions on Electrical Energy Systems, 2023, Article 4930801. https://doi.org/10.1155/2023/4930801

This article shows a detailed analysis of the distribution of currents in 2 × 25 kV electric railway systems under normal conditions. The network equations are clearly formulated in a way that enables the presentation of a novel simplified analytical... Read More about Distribution of Currents in 2 × 25 kV Electric Railway Systems under Normal Conditions.

Prediction of unsteady slug flow in a long curved inclined riser with a slug tracking model (2023)
Journal Article
Padrino, J. C., Srinil, N., Kurushina, V., & Swailes, D. (2023). Prediction of unsteady slug flow in a long curved inclined riser with a slug tracking model. International Journal of Multiphase Flow, 162, Article 104410. https://doi.org/10.1016/j.ijmultiphaseflow.2023.104410

An improved one-dimensional mechanistic model is presented for the prediction of unsteady gas-liquid slug flows in inclined curved pipes, using the slug tracking approach. The equations for mass and momentum conservation are applied to the slug body,... Read More about Prediction of unsteady slug flow in a long curved inclined riser with a slug tracking model.

Fleets on the streets: How number, affiliation and purpose of shared-lane automated vehicle convoys influence public perception and blame (2023)
Journal Article
Gilbert, T. K., Qu, N. Z., Ju, W., & Li, J. (2023). Fleets on the streets: How number, affiliation and purpose of shared-lane automated vehicle convoys influence public perception and blame. Transportation Research Part F: Traffic Psychology and Behaviour, 93, 294-308. https://doi.org/10.1016/j.trf.2023.01.013

Automated vehicles (AVs) may have broad uses in society, but some applications may be more acceptable than others. Determining contexts in which AVs can acceptably operate is a substantial challenge for policy makers. In an online YouGov survey (N =... Read More about Fleets on the streets: How number, affiliation and purpose of shared-lane automated vehicle convoys influence public perception and blame.

Explainable AI-Based DDOS Attack Identification Method for IoT Networks (2023)
Journal Article
Kalutharage, C. S., Liu, X., Chrysoulas, C., Pitropakis, N., & Papadopoulos, P. (2023). Explainable AI-Based DDOS Attack Identification Method for IoT Networks. Computers, 12(2), Article 32. https://doi.org/10.3390/computers12020032

The modern digitized world is mainly dependent on online services. The availability of online systems continues to be seriously challenged by distributed denial of service (DDoS) attacks. The challenge in mitigating attacks is not limited to identify... Read More about Explainable AI-Based DDOS Attack Identification Method for IoT Networks.

Certified high-efficiency "large-area" perovskite solar cells module for Fresnel lens-based concentrated photovoltaic (2023)
Journal Article
Roy, A., Ding, B., Khalid, M., Alzahrani, M., Ding, Y., Tahir, A. A., Sundaram, S., Kinge, S., Asiri, A. M., Slonopas, A., Dyson, P. J., Nazeeruddin, M. K., & Mallick, T. K. (2023). Certified high-efficiency "large-area" perovskite solar cells module for Fresnel lens-based concentrated photovoltaic. iScience, 26(3), Article 106079. https://doi.org/10.1016/j.isci.2023.106079

The future of energy generation is well in tune with the critical needs of the global economy, leading to more green innovations and emissions-abatement technologies. Introducing concentrated photovoltaic (CPV) is one of the most promising technologi... Read More about Certified high-efficiency "large-area" perovskite solar cells module for Fresnel lens-based concentrated photovoltaic.