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. …”

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. …”

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)

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)

LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

“…In this work, we propose LightEnsemble-Guard, an ensemble learning-based approach specifically designed for resource-constrained IoT environments. …”

Ultrasonication-based rapid amplification of α-synuclein aggregates in cerebrospinal fluid by Keita Kakuda (9668898)

“…However, conventional shaking-based assays are time-consuming procedures, and the clinical significance of the diversity of seeding activity among patients remains to be clarified. …”

Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring by Aya Nabil Sayed (17317006)

“…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …”

Energy Conservation-based Thresholding for Effective Wavelet Denoising of Partial Discharge Signals by Hussein, Ramy

“…In this study, a novel wavelet threshold estimation method, named energy conservation-based thresholding (ECBT), is introduced. The proposed thresholding function is capable of conserving a significant portion of the original signal energy, while the threshold value is determined based on the relative difference between the original and noisy signal energies. …”
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Machine Learning based Model Reveals the Metabolites Involved in Coronary Artery Disease by Fathima Lamya (22565261)

“…</p><h3>Methods</h3><p dir="ltr">This article presents machine learning (ML) based model that can recognize metabolomic compounds associated with CAD in the Qatari population for the early detection of CAD. …”