Qatar University Institutional Repository: Recent submissions
Now showing items 1-20 of 32369
-
Therapeutic Insights into Rubus ulmifolius Schott Leaf Extract: In Vitro Antifungal, Enzyme Inhibition, and Anticancer Activities Integrated with Network Pharmacology and Molecular Docking Analyses of Colorectal and Ovarian Cancer
( MDPI , 2025 , Article)Background/Objectives: This study evaluated the antifungal, enzyme inhibitory, and anticancer properties of the ethyl acetate (EtOAc) leaves extract of Rubus ulmifolius Schott using in vitro assays and in silico analysis. ... -
Evaluating the ecotoxicity of polymer-coated SPIONs for scale inhibition using a zebrafish embryo model
( Elsevier , 2026 , Article)Superparamagnetic iron oxide nanoparticles (SPIONs) are increasingly explored as sustainable scale inhibitors in oilfield operations, offering high efficiency, magnetic recoverability, and reduced chemical discharge. This ... -
Edaravone: Advances on cytoprotective effects, pharmacological properties, and mechanisms of action
( Elsevier , 2025 , Article Review)Neurological diseases often lead to life-altering consequences, underscoring the urgent need for therapies that can reverse or mitigate their effects. Effective management of neurological disorders necessitates a thorough ... -
Nanoencapsulation mitigates the toxicity of thymol in human cells and zebrafish embryos
( Taylor and Francis Group , 2025 , Article)This study evaluated the cytotoxicity of free thymol (FT) and thymol encapsulated in monolayer (MNCT) and layer-by-layer nanocapsules (LNCT) in normal human (MCF10A, HaCaT, HdFn), and cancer cell lines (MDA-MB-231, A549, ... -
Bariatric metabolic surgery and cancer risk: Target trial emulation using iterative time distribution matching.
( The Association of Basic Medical Sciences , 2025 , Article)Bariatric metabolic surgery (BMS) is a common intervention for severe obesity, yet its effects on cancer risk remain unclear. Observational studies and meta-analyses yield inconsistent findings, while randomized controlled ... -
Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)The efforts in compressive sensing (CS) literature can be divided into two groups: finding a measurement matrix that preserves the compressed information at its maximum level, and finding a robust reconstruction algorithm. ... -
Preface: Surveillance, Prevention, and Control of Infectious Diseases: An AI Perspective
( Springer , 2024 , Article)Infectious diseases pose a significant threat to public health worldwide, requiring constant vigilance, innovative strategies, and rapid responses to mitigate their impact. In recent years, Artificial Intelligence (AI) has ... -
Transfer Learning Across Heterogeneous Structures Through Adversarial Training
( Springer , 2025 , Conference)Transfer learning (TL) methods have become increasingly crucial for the challenges in gathering accurately labeled data from various structures in structural health monitoring (SHM) tasks, such as structural damage detection ... -
Smart binary phase-coding for pulse-compression radar: An electronic protection technique against repeater jamming
( John Wiley and Sons Inc , 2024 , Article)Nowadays, modern radar systems increase their target detection capabilities by processing pulses coherently. On the other hand, digital radio frequency memory-based modern jammers have the ability to work coherently and ... -
Operational Support Estimator Networks
( IEEE Computer Society , 2024 , Article)In this work, we propose a novel approach called Operational Support Estimator Networks (OSENs) for the support estimation task. Support Estimation (SE) is defined as finding the locations of non-zero elements in sparse ... -
Real-Time Damage Detection in Fiber Lifting Ropes Using Lightweight Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2025 , Article)The health and safety hazards posed by worn crane lifting ropes mandate periodic inspection for damage. This task is time-consuming, prone to human error, halts operation, and may result in the premature disposal of ropes. ... -
Exploring Sound Versus Vibration for Robust Fault Detection on Rotating Machinery
( IEEE , 2024 , Article)Robust and real-time detection of faults has become an ultimate objective for predictive maintenance on rotating machinery. Vibration-based deep learning (DL) methodologies have become the de facto standard for bearing ... -
REFINING MYOCARDIAL INFARCTION DETECTION: A NOVEL MULTI-MODAL COMPOSITE KERNEL STRATEGY IN ONE-CLASS CLASSIFICATION
( IEEE , 2024 , Conference)Early detection of myocardial infarction (MI), a critical condition arising from coronary artery disease (CAD), is vital to prevent further myocardial damage. This study introduces a novel method for early MI detection ... -
Surveillance, prevention, and control of infectious diseases: An AI perspective
( Springer , 2024 , Book)This is a pioneering book that delves into the intersection of artificial intelligence (AI) and healthcare, specifically focusing on the detection and prevention of infectious diseases. Authored by leading experts in the ... -
Super Neurons
( IEEE , 2024 , Article)Self-Organized Operational Neural Networks (Self-ONNs) have recently been proposed as new-generation neural network models with nonlinear learning units, i.e., the generative neurons that yield an elegant level of diversity; ... -
Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution
( IEEE , 2024 , Article)Hyperspectral imaging is a crucial tool in remote sensing, which captures far more spectral information than standard color images. However, the increase in spectral information comes at the cost of spatial resolution. ... -
Real-Time Vibration-Based Bearing Fault Diagnosis Under Time-Varying Speed Conditions
( IEEE , 2024 , Conference)Detection of rolling-element bearing faults is crucial for implementing proactive maintenance strategies and for minimizing the economic and operational consequences of unexpected failures. However, many existing techniques ... -
SAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection Using Multi-View Echocardiography
( IEEE , 2023 , Conference)Myocardial infarction (MI) is a severe case of coronary artery disease (CAD) and ultimately, its detection is sub-stantial to prevent progressive damage to the myocardium. In this study, we propose a novel view-fusion model ... -
Zero-shot motor health monitoring by blind domain transition
( Elsevier , 2024 , Article)Continuous long-term monitoring of motor health is crucial for the early detection of abnormalities such as bearing faults (up to 51% of motor failures are attributed to bearing faults). Despite numerous methodologies ... -
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for blind X-ray restoration and COVID-19 classification
( Elsevier , 2024 , Article)Restoration of poor-quality medical images with a blended set of artifacts plays a vital role in a reliable diagnosis. As a pioneer study in blind X-ray restoration, we propose a joint model for generic image restoration ...
