Outputs (34)

Harnessing Large Language Models for Automated Software Testing: A Leap Towards Scalable Test Case Generation (2025)
Journal Article
Rehan, S., Al-Bander, B., & Al-Said Ahmad, A. (2025). Harnessing Large Language Models for Automated Software Testing: A Leap Towards Scalable Test Case Generation. Electronics, 14(7), 1-25. https://doi.org/10.3390/electronics14071463

Software testing is critical for ensuring software reliability, with test case generation often being resource-intensive and time-consuming. This study leverages the Llama-2 large language model (LLM) to automate unit test generation for Java focal m... Read More about Harnessing Large Language Models for Automated Software Testing: A Leap Towards Scalable Test Case Generation.

Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support (2025)
Journal Article
Taiwo, O., & Al‐Bander, B. (in press). Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support. Cognitive Computation and Systems, 7(1), 1-15. https://doi.org/10.1049/ccs2.12116

Mental health disorders have a global prevalence of 25%, according to the WHO, and this is exacerbated by factors such as stigma, geographical location, and a worldwide shortage of practitioners. Mental health chatbots have been developed to address... Read More about Emotion‐aware psychological first aid: Integrating BERT‐based emotional distress detection with Psychological First Aid‐Generative Pre‐Trained Transformer chatbot for mental health support.

Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models (2024)
Journal Article
Albostami, A. S., Mohamad, S. A., Alzabeebee, S., Al-Hamd, R. K., & Al-Bander, B. (2025). Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models. Engineering Structures, 322, Article 119150. https://doi.org/10.1016/j.engstruct.2024.119150

This research paper focuses on utilizing Artificial Neural Networks (ANN), Multi-Objective Genetic Algorithm Evolutionary Polynomial Regression (MOGA-EPR), and Gene Expression Programming (GEP) to predict the punching shear strength of Steel Fibre-Re... Read More about Optimized punching shear design in steel fiber-reinforced slabs: Machine learning vs. evolutionary prediction models.

Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges (2024)
Journal Article
Maseer, Z. K., Kadhim, Q. K., Al‐Bander, B., Yusof, R., & Saif, A. (in press). Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges. IET Networks, https://doi.org/10.1049/ntw2.12128

Intrusion detection systems built on artificial intelligence (AI) are presented as latent mechanisms for actively detecting fresh attacks over a complex network. The authors used a qualitative method for analysing and evaluating the performance of ne... Read More about Meta‐analysis and systematic review for anomaly network intrusion detection systems: Detection methods, dataset, validation methodology, and challenges.

An integrated approach for understanding global earthquake patterns and enhancing seismic risk assessment (2024)
Journal Article
Ibrahim, M., & Al-Bander, B. (2024). An integrated approach for understanding global earthquake patterns and enhancing seismic risk assessment. International Journal of Information Technology, 16(4), 2001-2014. https://doi.org/10.1007/s41870-024-01778-1

Earthquakes, as intricate natural phenomena, profoundly impact lives, infrastructure, and the environment. While previous research has explored earthquake patterns through data analysis methods, there has been a gap in examining the time intervals be... Read More about An integrated approach for understanding global earthquake patterns and enhancing seismic risk assessment.

An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques (2024)
Journal Article
Al-Hamd, R. K. S., Albostami, A. S., Alzabeebee, S., & Al-Bander, B. (2024). An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques. Journal of Building Engineering, 86, Article 108883. https://doi.org/10.1016/j.jobe.2024.108883

The precise estimation of the bonding strength between concrete and fiber-reinforced polymer (FRP) bars holds significant importance for reinforced concrete structures. This study introduces a new methodology that utilizes soft computing methods to e... Read More about An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques.

Real-Time Lumen Detection for Autonomous Colonoscopy (2022)
Presentation / Conference Contribution
Al-Bander, B., Mathew, A., Magerand, L., Trucco, E., & Manfredi, L. (2022, September). Real-Time Lumen Detection for Autonomous Colonoscopy. Presented at First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore

Lumen detection and tracking in the large bowel is a key prerequisite step for autonomous navigation of endorobots for colonoscopy. Attempts at detecting and tracking the lumen so far have been made using optical flow and shape-from-shading technique... Read More about Real-Time Lumen Detection for Autonomous Colonoscopy.

A systematic rank of smart training environment applications with motor imagery brain-computer interface (2022)
Journal Article
Al-Qaysi, Z. T., Ahmed, M. A., Hammash, N. M., Hussein, A. F., Albahri, A. S., Suzani, M. S., & Al-Bander, B. (2023). A systematic rank of smart training environment applications with motor imagery brain-computer interface. Multimedia Tools and Applications, 82(12), 17905-17927. https://doi.org/10.1007/s11042-022-14118-x

Brain-Computer Interface (BCI) research is considered one of the significant interdisciplinary fields. It assists people with severe motor disabilities to recover and improve their motor actions through rehabilitation sessions using Motor Imagery (MI... Read More about A systematic rank of smart training environment applications with motor imagery brain-computer interface.

Attention Mechanism Guided Deep Regression Model for Acne Severity Grading (2022)
Journal Article
Alzahrani, S., Al-Bander, B., & Al-Nuaimy, W. (2022). Attention Mechanism Guided Deep Regression Model for Acne Severity Grading. Computers, 11(3), 31 - 31. https://doi.org/10.3390/computers11030031

<jats:p>Acne vulgaris is the common form of acne that primarily affects adolescents, characterised by an eruption of inflammatory and/or non-inflammatory skin lesions. Accurate evaluation and severity grading of acne play a significant role in precis... Read More about Attention Mechanism Guided Deep Regression Model for Acne Severity Grading.

Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle (2021)
Journal Article
Mahdi, H., Al-Bander, B., Alwan, M. H., Abood, M. S., & Hamdi, M. M. (in press). Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle. International Journal of Interactive Mobile Technologies, 15(21), 52-66. https://doi.org/10.3991/ijim.v15i21.22475

Moving is the key to modern life. Most things are in moving such as vehicles and user mobiles, so the need for high-speed wireless networks to serve the high demand of the wireless application becomes essential for any wireless network design. The us... Read More about Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle.