Detection, molecular typing and phylogenetic analysis of Leishmania isolated from cases of leishmaniasis among Syrian refugees in Lebanon by Tokajian, Sima

“…The parasites identified were all L. tropica as determined by both techniques. ITS1-5.8S rDNA gene based typing proved to be more sensitive in the detection of parasites (positive in 69.2% of the isolates) as opposed to the ITS1-PCR RFLP method that was successful in identifying L. tropica in only 43.6% of the isolates. …”
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Wastewater-based epidemiology for tracking bacterial diversity and antibiotic resistance in COVID-19 isolation hospitals in Qatar by A.A., Johar

“…BackgroundHospitals are hotspots for antimicrobial resistance genes (ARGs), and play a significant role in their emergence and spread. Large numbers of ARGs will be ejected from hospitals via wastewater systems. …”
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Detecting location of construction defects in drilled shafts using frequency tomography analysis of cross-hole sonic logging by Abi Shdid, Caesar

“…Several studies have used arrival time and wave speed, such as in cross-hole tomography, to detect construction defects in drilled shaft foundations. …”
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VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

“…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …”

Effect of acute and chronic grapefruit, orange and pineaple juice consumption upon blood lipoprotein synthesis and metabolism in the rat. (c2004) by Abou-Khalil, Jamil

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Enhancing the Sensing Performance of Zigzag Graphene Nanoribbon to Detect NO, NO₂, and NH₃ Gases by Ehab Salih (17075206)

“…<p dir="ltr">In this article, a zigzag graphene nanoribbon (ZGNR)-based sensor was built utilizing the Atomistic ToolKit Virtual NanoLab (ATK-VNL), and used to detect nitric oxide (NO), nitrogen dioxide (NO₂), and ammonia (NH₃). …”

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout by Arash Golabi (21841484)

“…This paper presents a dual-path deep learning framework for the detection and identification of HTs via side-channel analysis. …”

An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise by Shams Nafisa Ali (17949191)

“…The proposed deep learning-based PCG denoising approach is a pioneering study that can significantly improve the accuracy of computer-aided auscultation systems for detecting cardiac diseases in noisy, low-resource hospitals and underserved communities. …”

Effects of Social Media Use and Dependence on Dietary Intake and Prevalence of Orthorexia in Pregnant and Non-Pregnant Women by Issa, Yara

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Smart binary phase‐coding for pulse‐compression radar: An electronic protection technique against repeater jamming by Alper Yıldırım (17656014)

“…The results show that the proposed method can significantly improve the isolation against deception jamming and the target detection capability simultaneously.…”

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network by Samin Yaser (22803530)

“…The proposed model processes raw ECG signals using a TCN-based feature extractor, followed by spectral graph convolutions via a GCN. …”

FlashDetR: A deep learning pipeline for early detection and time estimation of flashover in high-voltage insulators using infrared videos by Najmath Ottakath (17430912)

Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations by Md Mosarrof Hossen (21399056)

The Impact of the 2019 Lebanese Multidimensional Crisis on Young Adults’ Political Attitudes and Behavior by Issa, Maria

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Genome-Based Characterization of Bacterial Pathogens Causing Bloodstream Infection by Boujanian, Carni

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Tailoring CO₂ detection capabilities using Co-ZnO/MoS₂ nanocomposites through electrolyte concentration modulation by Swathi Yempally (17886686)

“…<p dir="ltr">The current study explores a new approach to investigate the CO₂ detection capabilities of cobalt-doped zinc oxide (Co-ZnO) combined with molybdenum sulfide (MoS₂) hybrid nanomaterials Co-ZnO/MoS₂ (CZM). …”

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities by Md Golam Morshed (19420537)

“…One of the most challenging issues for computer vision is the automatic and precise identification of human activities. A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …”

PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …”
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …”
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Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers by Hamidreza Besharatifard (16904823)