Trepo - Selaus tekijän mukaan "Gabbouj, Moncef"
Viitteet 21-40 / 124
-
Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images
(05 / 2021)
articleCoronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ... -
COVID-19 infection map generation and detection from chest X-ray images
(01.04.2021)
articleComputer-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 ... -
Credit Card Fraud Detection with Subspace Learning-based One-Class Classification
IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making (2023)
conferenceIn an increasingly digitalized commerce landscape, the proliferation of credit card fraud and the evolution of sophisticated fraudulent techniques have led to substantial financial losses. Automating credit card fraud ... -
Cross-asymmetric mixed-resolution 3D video compression
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (2012)
conferenceConventional mixed-resolution (MR) stereoscopic video where one view has full resolution (FR) and the other view has a lower resolution has shown to provide similar subjective quality compared to symmetric FR stereoscopic ... -
Deep-BrownConrady: Prediction of Camera Calibration and Distortion Parameters Using Deep Learning and Synthetic Data
(2025)
articleThis research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) demonstrating that a deep learning ... -
Design of an Optimal Piece-Wise Spline Wigner-Ville Distribution for TFD Performance Evaluation and Comparison
(2021)
articleThis paper proposes a new performance evaluation process for time-frequency distributions (TFD) by designing a reference optimal TFD and novel accuracy and resolution measures. The motivation comes from the need for a TFD ... -
Double Layer Robust 2DPCA: Joint Flexible Cut Norm and Adaptive Weighted Learning for Small Sample Size Image Recognition
(2025)
articleRecently, many 2D principal component analysis (2DPCA) methods with different distance metric mechanisms have been successfully proposed and applied to improve the robustness of information perception based on image data. ... -
DRACO: Data Replication and Collection Framework for Enhanced Data Availability and Robustness in IoT Networks
(24.12.2025)
articleThe Internet of Things (IoT) bridges the gap between the physical and digital worlds, enabling seamless interaction with real-world objects via the Internet. However, IoT systems face significant challenges in ensuring ... -
Dropout Concrete Autoencoder for Band Selection on Hyperspectral Image Scenes
(2025)
articleDeep learning-based informative band selection methods on hyperspectral images (HSIs) have recently gained intense attention to eliminate spectral correlation and redundancies. However, existing deep learning-based methods ... -
Dual and single polarized sar image classification using compact convolutional neural networks
(01.06.2019)
article<p>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 ... -
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
(2021)
articlePreventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
(16.02.2021)
article<p>Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to ... -
Early myocardial infarction detection over multi-view echocardiography
(01 / 2023)
articleMyocardial infarction (MI) is the leading cause of mortality in the world. Its early diagnosis can mitigate the extent of myocardial damage by facilitating early therapeutic interventions. The regional wall motion abnormality ... -
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
Computing in Cardiology (09 / 2022)
conferenceMyocardial infarction (MI) is the leading cause of mortality and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ... -
Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features
Iranian Conference on Machine Vision and Image Processing, MVIP (2024)
conferenceProviding high-quality video with efficient bitrate is a main challenge in video industry. The traditional one-size-fits-all scheme for bitrate ladders is inefficient and reaching the best content-aware decision is ... -
Ellipsoidal Subspace Support Vector Data Description
(2020)
articleIn this paper, we propose a novel method for transforming data into a low-dimensional space optimized for one-class classification. The proposed method iteratively transforms data into a new subspace optimized for ellipsoidal ... -
End-to-End Transformer for Compressed Video Quality Enhancement
(29.11.2023)
articleConvolutional neural networks have achieved excellent results in compressed video quality enhancement task in recent years. State-of-the-art methods explore the spatio-temporal information of adjacent frames mainly by ... -
Enhancing Healthcare Systems with Deep Reinforcement Learning: Insights into D2D Communications and Remote Monitoring
(2024)
articleThe traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. ... -
Ensembling object detectors for image and video data analysis
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (2021)
conference<p>In this paper, we propose a method for ensembling the outputs of multiple object detectors for improving detection performance and precision of bounding boxes on image data. We further extend it to video data by ... -
Estimation of Subjective Quality for Mixed-Resolution Stereoscopic Video
3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video 3DTV-CON (2011)
conferenceIn mixed-resolution (MR) stereoscopic video, one view is presented with a lower resolution compared with the other one; therefore, a lower bitrate, a reduced computational complexity, and a decrease in memory access bandwidth ...
