All Outputs (31)

Inclusive Prompt Engineering for Large Language Models: A Modular Framework for Ethical, Structured, and Adaptive AI (2025)
Journal Article

Large language models have achieved impressive results across various tasks but remain limited in their ability to adapt ethically and structurally across diverse domains without retraining. This paper presents the Inclusive Prompt Engineering Model... Read More about Inclusive Prompt Engineering for Large Language Models: A Modular Framework for Ethical, Structured, and Adaptive AI.

Saudi Arabia's Vision 2030: Leveraging Generative Artificial Intelligence to Enhance Software Engineering (2025)
Presentation / Conference Contribution

This research explores the transformative role of Generative Artificial Intelligence (GenAl) for the Kingdom of Saudi Arabia (KSA) software developers. KSA is transforming from an oil-dependent economy to a diversified one to achieve Vision 2030. Tec... Read More about Saudi Arabia's Vision 2030: Leveraging Generative Artificial Intelligence to Enhance Software Engineering.

Vision transformers for automated detection of pig interactions in groups (2025)
Journal Article

The interactive behaviour of pigs is an important determinant of their social development and overall well-being. Manual observation and identification of contact behaviour can be time-consuming and potentially subjective. This study presents a new m... Read More about Vision transformers for automated detection of pig interactions in groups.

RLS adaptive filter co-design for de-noising ECG signal (2024)
Journal Article

Doctors diagnose various heart muscle disorders by continuously analyzing ELECTROCARDIOGRAM (ECG) signals. Obtaining a noise-free ECG recording is difficult due to various types of interference, making an effective filter essential for accurate diagn... Read More about RLS adaptive filter co-design for de-noising ECG signal.

A Newly Adopted YOLOv9 Model for Detecting Mould Regions Inside of Buildings (2024)
Journal Article

Molds on wall and ceiling surfaces in damp indoor environments especially in houses with poor insulation and ventilation are common in the UK. Since it releases toxic chemicals as it grows, it is a serious health hazard for occupants who live in such... Read More about A Newly Adopted YOLOv9 Model for Detecting Mould Regions Inside of Buildings.

Review of farmer-centered AI systems technologies in livestock operations (2024)
Journal Article

The assessment of livestock welfare aids in keeping an eye on the health, physiology, and environment of the animals in order to prevent deterioration, detect injuries, stress, and sustain productivity. Because it puts more consumer pressure on farmi... Read More about Review of farmer-centered AI systems technologies in livestock operations.

Looking at AI Fairness from a Marketing Lenz: The Influence of Ethnicity on Facial Expression Recognition based on expert judgement and AI models (2024)
Presentation / Conference Contribution

This research investigates the influence of ethnicity on facial expression perception using insights from marketing experts and Computer Vision techniques. Marketing professionals were highly adept at recognizing expressions across varying ethnicitie... Read More about Looking at AI Fairness from a Marketing Lenz: The Influence of Ethnicity on Facial Expression Recognition based on expert judgement and AI models.

The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care (2024)
Presentation / Conference Contribution

This research analyses the evolving intersection of generative AI and healthcare. It explores the transformative potential of integrating generative AI in healthcare, particularly in process automation, patient care, patient monitoring, and diagnosis... Read More about The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care.

A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring (2024)
Journal Article
Albaroudi, E., Mansouri, T., & Alameer, A. (2024). A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring. AI and Ethics, 5(1), 383-404. https://doi.org/10.3390/ai5010019

The study comprehensively reviews artificial intelligence (AI) techniques for addressing algorithmic bias in job hiring. More businesses are using AI in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, i... Read More about A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring.

Facial Emotion Recognition Datasets for YOLOv8 Annotation (2023)
Data

Computer Vision Scientist-Collected Dataset:

This facial emotion recognition dataset has been meticulously curated by computer vision scientists using mobile phone cameras to capture candid moments of individuals expressing a spectrum of emotions,... Read More about Facial Emotion Recognition Datasets for YOLOv8 Annotation.

Hand Recognition Dataset for Machine Vision Researchers (YOLOv8 Format) (2023)
Data

This hand recognition dataset comprises a comprehensive collection of hand images from 65 individuals, including both left and right hands, annotated with YOLOv8 formatting.

The dataset encompasses 17 distinct classes, denoted as L-L1 to L-L9 for... Read More about Hand Recognition Dataset for Machine Vision Researchers (YOLOv8 Format).

Facial Emotion Detection Dataset (2023)
Data

The Facial Emotion Detection Dataset is a collection of images of individuals with two different emotions - happy and sad. The dataset was captured using a mobile phone camera and contains photos taken from different angles and backgrounds.

The da... Read More about Facial Emotion Detection Dataset.

Toward the automated detection of behavioral changes associated with the post-weaning transition in pigs (2023)
Journal Article
Kyriazakis, I., Alameer, A., Bučková, K., & Muns, R. (2023). Toward the automated detection of behavioral changes associated with the post-weaning transition in pigs. Frontiers in Veterinary Science, 9, https://doi.org/10.3389/fvets.2022.1087570

We modified an automated method capable of quantifying behaviors which we then applied to the changes associated with the post-weaning transition in pigs. The method is data-driven and depends solely on video-captured image data without relying on se... Read More about Toward the automated detection of behavioral changes associated with the post-weaning transition in pigs.

Automated detection and quantification of contact behaviour in pigs using deep learning (2022)
Journal Article
Alameer, A., Buijs, S., O'Connell, N., Dalton, L., Lilian Vestbjerg Larsen, M., Juul Pedersen, L., & Kyriazakis, I. (2022). Automated detection and quantification of contact behaviour in pigs using deep learning. Biosystems Engineering, 224, 118-130. https://doi.org/10.1016/j.biosystemseng.2022.10.002

Change in the frequency of contact between pigs within a group may be indicative of a change in the physiological or health status of one or more pigs within a group, or indicative of the occurrence of abnormal behaviour, e.g. tail-biting. Here, we d... Read More about Automated detection and quantification of contact behaviour in pigs using deep learning.

Facial Expression Image Dataset for Computer Vision Algorithms (2022)
Data

The dataset for this project is characterised by photos of individual human emotion expression and these photos are taken with the help of both digital camera and a mobile phone camera from different angles, posture, background, light exposure, and d... Read More about Facial Expression Image Dataset for Computer Vision Algorithms.

UoS Buildings Image Dataset for Computer Vision Algorithms (2022)
Data

The dataset for this project is represented by photos, photos for the buildings of the University of Salford, these photos are taken by a mobile phone camera from different angels and different distances , even though this task sounds so easy but it... Read More about UoS Buildings Image Dataset for Computer Vision Algorithms.

Labeled projective dictionary pair learning: application to handwritten numbers recognition (2022)
Journal Article
Ameri, R., Alameer, A., Ferdowsi, S., Nazarpour, K., & Abolghasemi, V. (2022). Labeled projective dictionary pair learning: application to handwritten numbers recognition. Information Sciences, 609, 489-506. https://doi.org/10.1016/j.ins.2022.07.070

Dictionary learning was introduced for sparse image representation. Today, it is a cornerstone of image classification. We propose a novel dictionary learning method to recognise images of handwritten numbers. Our focus is to maximise the sparse-repr... Read More about Labeled projective dictionary pair learning: application to handwritten numbers recognition.

Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs (2020)
Journal Article
Alameer, A., Kryiazakis, I., & Bacardit, J. (2020). Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs. Scientific reports, 10, 13665. https://doi.org/10.1038/s41598-020-70688-6

Changes in pig behaviours are a useful aid in detecting early signs of compromised health and welfare. In commercial settings, automatic detection of pig behaviours through visual imaging remains a challenge due to farm demanding conditions, e.g., oc... Read More about Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs.

Objects and Scenes Classification with Selective Use of Central and Peripheral Image Content (2020)
Journal Article
Alameer, A., Degenaar, P., & Nazarpour, K. (2020). Objects and Scenes Classification with Selective Use of Central and Peripheral Image Content. Journal of Visual Communication and Image Representation, 66, 102698. https://doi.org/10.1016/j.jvcir.2019.102698

Automatic recognition of feeding and non-nutritive feeding behaviour in pigs using deep learning (2019)
Presentation / Conference Contribution

Automated vision-based early warning systems have been developed to detect behavioural changes in groups of pigs to monitor their health and welfare status. However, automatic feed detection remains a problem in precision pig farming due to problems... Read More about Automatic recognition of feeding and non-nutritive feeding behaviour in pigs using deep learning.