Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …”

Improving text-to-image generation with object layout guidance by Jezia Zakraoui (14151399)

“…To evaluate the performance of our approach, we use the COCO dataset and compare it with three baseline approaches, namely, sg2im, StackGAN and AttnGAN, in terms of image quality and user evaluation. According to the obtained assessment results, our object layout guidance-based approach significantly outperforms the abovementioned baseline approaches in terms of the accuracy of semantic matching and realism of the generated images representing the story text sentences.…”

Suppression of Unstable Flow by Using Rough Surfaces at Small Mass Flow Rates in a Radial Diffuser by Salem, Hayder

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Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation by Alhusari, Khaldoon

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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. …”

Functionalized Carbon Nanotubes: Emerging Nanomaterials for Enhanced Cancer Diagnosis and Imaging by Anish Prasad Lohani (23273992)

“…Additionally, they offer significant advantages in cancer imaging modalities such as fluorescence imaging, magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound imaging, improving contrast, resolution, and specificity. …”

Classification and segmentation of kidney MRI images for chronic kidney disease detection by Md. Sakib Bin Islam (20494559)

“…Utilizing the Zenodo dataset comprising 1299 kidney MRI images from 100 T2-weighted abdomen MRI scans, our investigation reveals that Vision Transformers (ViT) based model EfficientNet_b1 exhibited superior performance compared to other models. …”

Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance by Zouhaier Farhani (22330693)

“…Therefore, coaches should consider longer continuous bouts when planning SSGs‐based training to significantly decrease TMD and enhance technical‐tactical performance in soccer SSGs.…”

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

The influence of religiously motivated consumer boycotts on brand image, loyalty and product judgment by Abosag, Ibrahim

“…Practical implications – Religious boycotts have significant consequences on both corporate profits and brand image. …”
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Advancing paleontology: a survey on deep learning methodologies in fossil image analysis by Mohammed Yaqoob (344668)

“…Despite these developments, key fossil image processing and analysis tasks, such as segmentation and classification, still require significant user intervention, which can be labor-intensive and subject to human bias. …”

An Innovative Platform Merging Elemental Analysis and Ftir Imaging for Breast Tissue Analysis by Mohamed H. M. Ali (5768066)

“…Fourier transform infrared (FTIR) spectroscopy images reported a fingerprint of the organic molecules present in the tissue section and laser ablation elemental analysis (LA-ICP-MS) images brought inorganic element profiles. …”

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network by Ahila A (18394806)

“…Most of the earlier methods used image processing techniques for preprocessing and attributes extraction and then developed a model or classifier to classify the brain images. …”

A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

“…A comparatively shallow CNN model, MobilenetV2 achieved an F1 score of ∼95% for a two-feet thermogram image-based classification and the AdaBoost Classifier used 10 features and achieved an F1 score of 97%. …”

Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age by Assaker, Guy

“…We confirm that DI predicts satisfaction and has a significant direct and indirect effect on loyalty. After examining the validated structural model across different groups of respondents based on gender, age, and the gender by age interaction, we found that the model constructs differ across some of the groups. …”
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Factors affecting university image among undergraduate students: the case study of qatar university by Khalifa Alhaza (21259496)

“…<p dir="ltr">Worldwide there is an increase in competition between higher education institutions seeking to ascertain their position in the world ranking, resulting in universities introspectively reflecting on their image and student satisfaction. This is especially the case in the Gulf Cooperation Countries, where there has been significant growth in higher education institutions. …”

Toward Adaptive Intrusion Detection Systems for UAVs Using Cyber-Physical Image Analysis by Hanane Amirat (23126110)

“…To address these challenges, this study proposes a novel image-based deep learning approach that jointly analyzes cyber and physical features extracted from real UAV datasets. …”

First Impressions by Machine: Candidates’ Perceptions of Ethics and Employer Image in AI Recruitment Process by Al Moghrabi, Abdul Rahman

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Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images by Sriman Bidhan Baray (15302398)

“…</p><h3 dir="ltr">Discussion</h3><p dir="ltr">This study demonstrates the successful implementation of deep learning and keypoint-based measurement of PC that could significantly improve patient assessment by surgeons and hypospadiology researchers.…”