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All Outputs (20)

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.

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.

A Comparision of Node Detection Algorithms Over Wireless Sensor Network (2022)
Journal Article
Mahdi, H., Alwan, M., Al-Bander, B., & Zuhair, A. (2022). A Comparision of Node Detection Algorithms Over Wireless Sensor Network. International Journal of Interactive Mobile Technologies, 16(7), 38 - 53. https://doi.org/10.3991/ijim.v16i07.24609

<jats:p>MANET is standing for Network as Mobile Ad-hoc which is a self-directed mobile handlers group which communicates over relatively bandwidth constrained wireless channels. Many services with different classes of Quality of Services (QoS) could... Read More about A Comparision of Node Detection Algorithms Over Wireless Sensor Network.

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.

Deep Learning Models for Automatic Makeup Detection (2021)
Journal Article
Alzahrani, T., Al-Bander, B., & Al-Nuaimy, W. (2021). Deep Learning Models for Automatic Makeup Detection. AI, 2(4), 497 - 511. https://doi.org/10.3390/ai2040031

<jats:p>Makeup can disguise facial features, which results in degradation in the performance of many facial-related analysis systems, including face recognition, facial landmark characterisation, aesthetic quantification and automated age estimation... Read More about Deep Learning Models for Automatic Makeup Detection.

A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis (2021)
Journal Article
Alzahrani, S., Al-Bander, B., & Al-Nuaimy, W. (2021). A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis. Cancers, 13(17), 4494 - 4494. https://doi.org/10.3390/cancers13174494

<jats:p>Melanoma is the most invasive skin cancer with the highest risk of death. While it is a serious skin cancer, it is highly curable if detected early. Melanoma diagnosis is difficult, even for experienced dermatologists, due to the wide range o... Read More about A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis.

Enhancement of medical images using fuzzy logic (2021)
Journal Article
Ahmed Fadil, Y., Al-Bander, B., & Radhi, H. Y. (2021). Enhancement of medical images using fuzzy logic. Indonesian Journal of Electrical Engineering and Computer Science, 23(3), 1478 - 1478. https://doi.org/10.11591/ijeecs.v23.i3.pp1478-1484

Image enhancement is one of the most critical subjects in computer vision and image processing fields. It can be considered as means to enrich the perception of images for human viewers. All kinds of images typically suffer from different problems su... Read More about Enhancement of medical images using fuzzy logic.

Systematic review of training environments with motor imagery brain–computer interface: Coherent taxonomy, open issues and recommendation pathway solution (2021)
Journal Article
Al-Qaysi, Z. T., Ahmed, M. A., Hammash, N. M., Hussein, A. F., Albahri, A. S., Suzani, M. S., …Salih, M. M. (2021). Systematic review of training environments with motor imagery brain–computer interface: Coherent taxonomy, open issues and recommendation pathway solution. Health and Technology, 11(4), 783-801. https://doi.org/10.1007/s12553-021-00560-8

The brain–computer interface (BCI) technique represents one of the furthermost active interdisciplinary study domains and includes a wide knowledge spectrum from a different disciplines such as medicine, neuroscience, machine learning and rehabilitat... Read More about Systematic review of training environments with motor imagery brain–computer interface: Coherent taxonomy, open issues and recommendation pathway solution.

Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation (2021)
Journal Article
Al-Bander, B., Alzahrani, T., & Al-Nuaimy, W. (2021). Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation. Computation, 9(5), 54 - 54. https://doi.org/10.3390/computation9050054

<jats:p>Identifying human face shape and eye attributes is the first and most vital process before applying for the right hairstyle and eyelashes extension. The aim of this research work includes the development of a decision support program to const... Read More about Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation.

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile (2019)
Journal Article
MacCormick, I. J., Williams, B. M., Zheng, Y., Li, K., Al-Bander, B., Czanner, S., …Czanner, G. (2019). Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. PloS one, 14(1), e0209409 - e0209409. https://doi.org/10.1371/journal.pone.0209409

Glaucoma is the leading cause of irreversible blindness worldwide. It is a heterogeneous group of conditions with a common optic neuropathy and associated loss of peripheral vision. Both over and under-diagnosis carry high costs in terms of healthcar... Read More about Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile.

Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography (2018)
Journal Article
Pratt, H., Williams, B. M., Ku, J. Y., Vas, C., McCann, E., Al-Bander, B., …Zheng, Y. (2018). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. Journal of Imaging, 4(1), 4 - 4. https://doi.org/10.3390/jimaging4010004

The analysis of retinal blood vessels present in fundus images, and the addressing of problems such as blood clot location, is important to undertake accurate and appropriate treatment of the vessels. Such tasks are hampered by the challenge of accur... Read More about Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography.