Functionalized Carbon Nanotubes: Emerging Nanomaterials for Enhanced Cancer Diagnosis and Imaging حسب 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. …"

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance حسب Krishnamoorthy Natarajan (22047464)

The influence of religiously motivated consumer boycotts on brand image, loyalty and product judgment حسب 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 حسب 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 حسب 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. …"

A machine learning model for early detection of diabetic foot using thermogram images حسب 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%. …"

Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network حسب 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. …"

Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images حسب 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.…"

Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women حسب Vijay, Ganji

"…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…"
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women حسب Vijay Ganji (8710491)

"…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…"

Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age حسب 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 حسب 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 حسب 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. …"

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب 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. …"

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

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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment حسب Ikhlas Ghiat (16932564)

Imaging Patterns in Breast Cancer for Women Under 40 Years: A Descriptive Cohort Study حسب Amal A. Alhaidary (21633410)

"…The aim of this study is to evaluate the imaging findings of breast cancer in women under the age of 40 and analyze their pathological patterns.…"

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

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models حسب Meena Malik (17542089)

"…These are compound-scaling based models proposed by Google that are pretrained on ImageNet and have an accuracy of 74% to 84% in top-1 over ImageNet. …"

PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images حسب Kashif Munir (6182237)