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101
VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models
منشور في 2025"…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …"
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102
Enhancing the Sensing Performance of Zigzag Graphene Nanoribbon to Detect NO, NO<sub>2</sub>, and NH<sub>3</sub> Gases
منشور في 2020"…<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 (NO<sub>2</sub>), and ammonia (NH<sub>3</sub>). …"
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103
A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout
منشور في 2025"…This paper presents a dual-path deep learning framework for the detection and identification of HTs via side-channel analysis. …"
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104
An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise
منشور في 2023"…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. …"
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105
Smart binary phase‐coding for pulse‐compression radar: An electronic protection technique against repeater jamming
منشور في 2024"…The results show that the proposed method can significantly improve the isolation against deception jamming and the target detection capability simultaneously.…"
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106
SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network
منشور في 2025"…The proposed model processes raw ECG signals using a TCN-based feature extractor, followed by spectral graph convolutions via a GCN. …"
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107
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108
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110
Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance
منشور في 2025"…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …"
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111
Tailoring CO<sub>2</sub> detection capabilities using Co-ZnO/MoS<sub>2</sub> nanocomposites through electrolyte concentration modulation
منشور في 2024"…<p dir="ltr">The current study explores a new approach to investigate the CO<sub>2</sub> detection capabilities of cobalt-doped zinc oxide (Co-ZnO) combined with molybdenum sulfide (MoS<sub>2</sub>) hybrid nanomaterials Co-ZnO/MoS<sub>2</sub> (CZM). …"
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112
Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities
منشور في 2023"…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. …"
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113
PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT
منشور في 2023"…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …"
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114
PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT
منشور في 2023"…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …"
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115
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116
LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems
منشور في 2025"…In this work, we propose LightEnsemble-Guard, an ensemble learning-based approach specifically designed for resource-constrained IoT environments. …"
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117
Ultrasonication-based rapid amplification of α-synuclein aggregates in cerebrospinal fluid
منشور في 2019"…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. …"
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118
Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring
منشور في 2024"…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. …"
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119
Energy Conservation-based Thresholding for Effective Wavelet Denoising of Partial Discharge Signals
منشور في 2016"…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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120
Machine Learning based Model Reveals the Metabolites Involved in Coronary Artery Disease
منشور في 2025"…</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. …"