تصفح حسب المؤلف "Gabbouj, Moncef"
السجلات المعروضة 1 -- 20 من 42
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A Novel UAV-Aided Network Architecture Using Wi-Fi Direct
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)The use of unmanned aerial vehicles (UAVs) in future wireless networks is gaining attention due to their quick deployment without requiring the existing infrastructure. Earlier studies on UAV-aided communication consider ... -
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
( IEEE , 2022 , Article)5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ... -
An optimized k-NN approach for classification on imbalanced datasets with missing data
( Springer Verlag , 2016 , Conference Paper)In this paper, we describe our solution for the machine learning prediction challenge in IDA 2016. For the given problem of 2-class classification on an imbalanced dataset with missing data, we first develop an imputation ... -
Analysis of High-Dimensional Phase Space via Poincaré Section for Patient-Specific Seizure Detection
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In this paper, the performance of the phase space representation in interpreting the underlying dynamics of epileptic seizures is investigated and a novel patient-specific seizure detection approach is proposed based on ... -
Biosignal time-series analysis
( Elsevier , 2022 , Book chapter)In this chapter, recent state-of-the-art techniques in biosignal time-series analysis will be presented. We shall start with the problem of patient-specific ECG beat classification where the objective is to discriminate ... -
Blind ECG Restoration by Operational Cycle-GANs
( IEEE Computer Society , 2022 , Article)Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ... -
BM3D VS 2-LAYER ONN
( IEEE Computer Society , 2021 , Conference Paper)Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ... -
Classification of SAR Images Using Compact Convolutional Neural Networks
( Springer , 2022 , Book chapter)Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ... -
Competitive Quantization for Approximate Nearest Neighbor Search
( IEEE Computer Society , 2016 , Article)In this study, we propose a novel vector quantization algorithm for Approximate Nearest Neighbor (ANN) search, based on a joint competitive learning strategy and hence called as competitive quantization (CompQ). CompQ is ... -
Convolutional Neural Networks for patient-specific ECG classification
( IEEE , 2015 , Conference Paper)We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and ... -
COVID-19 infection map generation and detection from chest X-ray images
( Springer Science and Business Media Deutschland GmbH , 2021 , Article)Computer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep ... -
Data enrichment in fine-grained classification of aquatic macroinvertebrates
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)The types and numbers of benthic macroinverte-brates found in a water body reflect water quality. Therefore, macroinvertebrates are routinely monitored as a part of freshwater ecological quality assessment. The collected ... -
Detection of atrial fibrillation in ECG hand-held devices using a random forest classifier
( IEEE Computer Society , 2017 , Conference Paper)Atrial Fibrillation (AF) is characterized by chaotic electrical impulses in the atria, which leads to irregular heartbeats and can develop blood clots and stroke. Therefore, early detection of AF is crucial for increasing ... -
Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance
( IEEE , 2023 , Article)Advances in communication technologies and computational capabilities of Internet of Things (IoT) devices enable a range of complex applications that require ever increasing processing of sensors' data. An illustrative ... -
Dual and single polarized sar image classification using compact convolutional neural networks
( MDPI AG , 2019 , Article)Accurate land use/land cover classification of synthetic aperture radar (SAR) images plays an important role in environmental, economic, and nature related research areas and applications. When fully polarimetric SAR data ... -
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
( IEEE Computer Society , 2022 , Conference Paper)Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ... -
Extended quantum cuts for unsupervised salient object extraction
( Springer New York LLC , 2017 , Article)In this manuscript, an unsupervised salient object extraction algorithm is proposed for RGB and RGB-Depth images. Saliency estimation is formulated as a foreground detection problem. To this end, Quantum-Cuts (QCUT), a ... -
Generalized model of biological neural networks: Progressive operational perceptrons
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Traditional Artificial Neural Networks (ANNs) such as Multi-Layer Perceptrons (MLPs) and Radial Basis Functions (RBFs) were designed to simulate biological neural networks -
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
( IEEE Computer Society , 2023 , Article)Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ... -
Heart sound anomaly and quality detection using ensemble of neural networks without segmentation
( IEEE Computer Society , 2016 , Conference Paper)Phonocardiogram (PCG) signal is used as a diagnostic test in ambulatory monitoring in order to evaluate the heart hemodynamic status and to detect a cardiovascular disease. The objective of this study is to develop an ...
