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All Outputs (348)

An efficient deep learning model for brain tumour detection with privacy preservation (2023)
Journal Article
Rehman, M. U., Shafique, A., Khan, I. U., Ghadi, Y. Y., Ahmad, J., Alshehri, M. S., …Zayyan, M. H. (in press). An efficient deep learning model for brain tumour detection with privacy preservation. CAAI Transactions on Intelligence Technology, https://d

Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific c... Read More about An efficient deep learning model for brain tumour detection with privacy preservation.

Editorial: Games May Host the First Rightful AI Citizens (2023)
Journal Article
Mitchell, K. (2023). Editorial: Games May Host the First Rightful AI Citizens. Games: Research and Practice, 1(2), 1-7. https://doi.org/10.1145/3606834

GAMES creatively take place in imaginative worlds informed by, but often not limited by, real-world challenges, and this advantageously provides an accelerated environment for innovation, where concepts and ideas can be explored unencumbered by physi... Read More about Editorial: Games May Host the First Rightful AI Citizens.

Influence of digitalisation adoption level on construction project delivery in Nigeria (2023)
Journal Article
Okpo, H., Ikediashi, D., & Dania, A. (2023). Influence of digitalisation adoption level on construction project delivery in Nigeria. Frontiers in Engineering and Built Environment, 3(4), 221-232. https://doi.org/10.1108/febe-01-2023-0008

Purpose The rate of project failure across the globe seems to reinforce poor performance as a norm. However, engagement with construction digitalisation (CD) represents a departure point for improving project performance. Amidst researchers' recent... Read More about Influence of digitalisation adoption level on construction project delivery in Nigeria.

Dual-Band MIMO Antenna Design for 5G Smartphones Mobile Communications (2023)
Journal Article
Ullah, A., Parchin, N. O., Abdul-Al, M., Manan, W., Salisu, A., Gharbia, I., …Abd-Alhameed, R. A. (2023). Dual-Band MIMO Antenna Design for 5G Smartphones Mobile Communications. Journal of Techniques, 5(2), 1-9. https://doi.org/10.51173/jt.v5i2.1259

In this research, an innovative L-shape slot that is fed by F-shape dual-band six-Elements multiple-input multiple-output (MIMO) antenna for mobile phones that operate in a 5G spectrum is demonstrated. This proposed antenna has six antenna elements t... Read More about Dual-Band MIMO Antenna Design for 5G Smartphones Mobile Communications.

PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images (2023)
Journal Article
Liu, Q., Zhang, Z., Liu, X., Zhang, Y., & Du, Z. (in press). PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images. Intelligent Automation and Soft Computing,

Automatic extraction of water body information from high-resolution remote sensing images is one of the core tasks of remote sensing image interpretation. Since the complex multi-scale characteristics of high-resolution remote sensing images, it is d... Read More about PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images.

Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity (2023)
Journal Article
Allard, M., Smith, S. C., Chatzilygeroudis, K., Lim, B., & Cully, A. (2023). Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity. ACM Transactions on Evolutionary Learning and Optimization, 3(2), Article 6. https://doi.org/10.11

In real-world environments, robots need to be resilient to damages and robust to unforeseen scenarios. Quality-Diversity (QD) algorithms have been successfully used to make robots adapt to damages in seconds by leveraging a diverse set of learned ski... Read More about Online Damage Recovery for Physical Robots with Hierarchical Quality-Diversity.

A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis (2023)
Journal Article
Osei, J. B., Adom-Asamoah, M., Owusu Twumasi, J., Andras, P., & Zhang, H. (2023). A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis. Construction and Building Materials, 394, Articl

This paper presents a machine learning model for load-level estimation for shear-critical reinforced concrete (RC) beams and slabs using multifractal features of their characteristic crack patterns to automate and provide well-informed decisions for... Read More about A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis.

PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation (2023)
Journal Article
Yang, L., Huang, H., Kong, S., Liu, Y., & Yu, H. (2023). PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation. IEEE Transactions on Intelligent Transportation Systems, 24(11), 12686-12700. https://doi.org/10.1109/tits.2023.32

Automatic crack detection remains challenging due to factors such as irregular crack shapes and sizes, uneven illumination, complex backgrounds, and image noise. Deep learning has shown promise in computer vision for pixel-wise crack detection, but e... Read More about PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation.

An artificial neural network (ANN) approach for early cost estimation of concrete bridge systems in developing countries: the case of Sri Lanka (2023)
Journal Article
Fernando, N., T.A., K. D., & Zhang, H. (. (2024). An artificial neural network (ANN) approach for early cost estimation of concrete bridge systems in developing countries: the case of Sri Lanka. Journal of Financial Management of Property and Construction

Purpose The Government’s investment in infrastructure projects is considerably high, especially in bridge construction projects. Government authorities must establish an initial forecasted budget to have transparency in transactions. Early cost esti... Read More about An artificial neural network (ANN) approach for early cost estimation of concrete bridge systems in developing countries: the case of Sri Lanka.

MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing (2023)
Journal Article
Zhao, L., Zhang, E., Wan, S., Hawbani, A., Al-Dubai, A. Y., Min, G., & Zomaya, A. Y. (2024). MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing. IEEE Transactions on Mobile Computing, 23(5), 4259 - 4272. https://do

Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing (MEC) in road scenarios. One key technology of VEC is task offloading, which allows vehicles to send their computation tasks to the surrounding Roadside Units (RSUs... Read More about MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing.

Comparative analysis of residential building envelopes newly implementing the building insulation code in Damascus (2023)
Journal Article
Khaddour, L. A. (2024). Comparative analysis of residential building envelopes newly implementing the building insulation code in Damascus. International Journal of Environmental Science and Technology, 21, 1509-1536. https://doi.org/10.1007/s13762-023-05

The selection of envelope construction technique has the highest impact on sustaining indoor thermal comfort while reducing energy consumed for heating and cooling. Numerous insulation codes are implemented worldwide to improve building envelope modi... Read More about Comparative analysis of residential building envelopes newly implementing the building insulation code in Damascus.

Playing the political game: The co-evolution of institutions with group size and political inequality (2023)
Journal Article
Powers, S. T., Perret, C., & Currie, T. E. (2023). Playing the political game: The co-evolution of institutions with group size and political inequality. Philosophical Transactions B: Biological Sciences, 378(1883), https://doi.org/10.1098/rstb.2022.0303

All societies need to form institutional rules to regulate their social interactions. These specify what actions individuals should take in particular situations, and what sanctions will apply if individuals violate these rules. But forming these ins... Read More about Playing the political game: The co-evolution of institutions with group size and political inequality.

Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions (2023)
Journal Article
Javed, A. R., Saadia, A., Mughal, H., Gadekallu, T. R., Rizwan, M., Maddikunta, P. K. R., …Hussain, A. (2023). Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions. Cognitive Computation, 15, 1

The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led many researchers to explore ways to automate the process to make it more objective and to facilitate the needs of the healthcare industry. Artificial Intelligenc... Read More about Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions.

Steering angle sensorless control for four-wheel steering vehicle via sliding mode control method (2023)
Journal Article
Yuan, H., Goh, K., Andras, P., Luo, W., Wang, C., & Gao, Y. (2024). Steering angle sensorless control for four-wheel steering vehicle via sliding mode control method. Transactions of the Institute of Measurement and Control, 46(3), 453-462. https://doi.or

This paper presents a new sensorless control method for four-wheel steering vehicles. Compared to the existing sensor-based control, this approach improved dynamic stability, manoeuvrability, and robustness in case of malfunction of the front steerin... Read More about Steering angle sensorless control for four-wheel steering vehicle via sliding mode control method.

A Hurst‐based diffusion model using time series characteristics for influence maximization in social networks (2023)
Journal Article
Saxena, B., Saxena, V., Anand, N., Hassija, V., Chamola, V., & Hussain, A. (2023). A Hurst‐based diffusion model using time series characteristics for influence maximization in social networks. Expert Systems, 40(9), Article e13375. https://doi.org/10.1

Online social networks have grown exponentially in the recent years while finding applications in real life like marketing, recommendation systems, and social awareness campaigns. An important research area in this field is Influence Maximization, wh... Read More about A Hurst‐based diffusion model using time series characteristics for influence maximization in social networks.

The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study (2023)
Journal Article
Ding, S., Liu, G., Xu, F., Ji, K., Zhao, L., Zheng, X., …Chen, R. (2023). The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional st

Background: With the deepening of China’s aging population, higher demands have been placed on the supply of elderly care services. As one of the main sources of providing elderly care services, the quality of service provided by elderly caring socia... Read More about The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study.

Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning (2023)
Journal Article
Elhassan, N., Varone, G., Ahmed, R., Gogate, M., Dashtipour, K., Almoamari, H., El-Affendi, M. A., Al-Tamimi, B. N., Albalwy, F., & Hussain, A. (2023). Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning. Computers, 12(6), Article 126. ht

Social media networks have grown exponentially over the last two decades, providing the opportunity for users of the internet to communicate and exchange ideas on a variety of topics. The outcome is that opinion mining plays a crucial role in analyzi... Read More about Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning.

A novel sEMG-based dynamic hand gesture recognition approach via residual attention network (2023)
Journal Article
Liu, Y., Li, X., Yu, H., & Yang, L. (2024). A novel sEMG-based dynamic hand gesture recognition approach via residual attention network. Multimedia Tools and Applications, 83, 9329–9349. https://doi.org/10.1007/s11042-023-15748-5

With the emergence of more and more lightweight, convenient and cheap surface electromyography signal (sEMG) snsors, gesture recognition based on sEMG sensors has attracted much attention of researchers. In this study, combined with the sEMG sensor,... Read More about A novel sEMG-based dynamic hand gesture recognition approach via residual attention network.

Application of a gene modular approach for clinical phenotype genotype association and sepsis prediction using machine learning in meningococcal sepsis (2023)
Journal Article
Rashid, A., Anwary, A. R., Al-Obeidat, F., Brierley, J., Uddin, M., Alkhzaimi, H., …Hussain, A. (2023). Application of a gene modular approach for clinical phenotype genotype association and sepsis prediction using machine learning in meningococcal seps

Sepsis is a major global health concern causing high morbidity and mortality rates. Our study utilized a Meningococcal Septic Shock (MSS) temporal dataset to investigate the correlation between gene expression (GE) changes and clinical features. The... Read More about Application of a gene modular approach for clinical phenotype genotype association and sepsis prediction using machine learning in meningococcal sepsis.