Mohammed Baydoun

Mohammed Baydoun
American University of Beirut | AUB · Department of Electrical and Computer Engineering

About

21
Publications
3,431
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117
Citations

Publications

Publications (21)
Article
Full-text available
As virtual reality (VR) tools continue to improve, more fields are finding ways of implementing the technology to take advantage of training opportunities that reduce costs, alleviate logistical challenges , and more. Where humanitarian deminers must prepare for dangerous work, VR facilitates training that minimizes the danger while giving trainers...
Article
Phonocardiogram (PCG) signal analysis is a common method for evaluating the condition of the heart and detecting possible anomalies such as cardiovascular diseases. This work concentrates on the Physionet challenge database that stores PCG recordings for more than one thousand subjects, including healthy and pathological records. A complete methodo...
Article
The current landmine clearance methods mostly rely on the manual use of metal detectors (MDs) and on the deminer’s experience in differentiating between the sounds emitted due to the presence of a landmine or of harmless clutter. This process suffers from high false-alarm rates, which renders the demining effort slow and costly. In this paper, we r...
Article
Full-text available
Introduction: The electrocardiogram (ECG) plays an important role in the diagnosis of heart diseases. However, most patterns of diseases are based on old datasets and stepwise algorithms that provide limited accuracy. Improving diagnostic accuracy of the ECG can be done by applying machine learning algorithms. This requires taking existing scanned...
Article
Full-text available
K-means is one of the most commonly used clustering algorithms, with diverse scope for implementation in the signal processing, artificial intelligence and image processing fields, among others. Different variations and improvements of K-means exist, with kernel K-means being the most famous. K-means has been the subject of many studies aiming to i...
Article
In this work, we propose a high performance distributed system that consists of several middleware servers each connected to a number of FPGAs with extended solid state storage that we call reconfigurable active solid state device (RASSD) nodes. A full data communication solution between middleware and RASSD nodes is presented. We use seismic data...
Article
We propose a high performance distributed system that consists of several middleware servers (MWS) each connected to a number of FPGAs with extended solid state storage that we call reconfigurable active solid state device (RASSD) nodes. A MWS manages a group of RASSD nodes and bridges the connection between a client and the RASSD nodes within a co...
Preprint
Full-text available
We propose a high performance distributed system that consists of several middleware servers (MWS) each connected to a number of FPGAs with extended solid state storage that we call reconfigurable active solid state device (RASSD) nodes. A MWS manages a group of RASSD nodes and bridges the connection between a client and the RASSD nodes within a co...
Article
A weighted mean square error (WMSE) approach to optimising digital filters is delineated. It is applied in the current work to optimising the classical Al-Alaoui IIR differentiators to obtain new improved wideband differentiators of varying orders. These can be directly used for analog to digital conversion and in many digital signal processing app...
Conference Paper
Image segmentation is one of the major methods of image processing. Several techniques exist to tackle segmentation related ideas based on the targeted area of interest. Edge detection is another important area in image processing that can be used for segmentation. This paper presents an edge based segmentation approach that relies on applying stan...
Conference Paper
Face recognition in still images and video is an important application in computer vision and image processing. This work focuses on extracting 3D or depth information using stereo matching for the purpose of enhancing face recognition. We present a new fast stereo matching algorithm termed stereo cluster search (SCS) that can be performed in real...
Article
This paper presents a novel approach that employs classification to enhance the accuracy of the stereo matching problem. First, the images are treated in order to improve their pixel to pixel correspondence and reduce illumination differences. After that, stereo matching is addressed using different methods with emphasis on local ones like the sum...
Conference Paper
Stereo matching is considered with different local approaches. The problem is addressed while aiming at reducing the effect of varying colors of pixel pairs that is usually due to varying illumination, digitization, camera, noise, or others. This is done by utilizing histogram information of the stereo pair in an efficient manner that does not invo...
Conference Paper
This work presents new IIR digital differentiators of first and higher orders based on optimizing the Al-Alaoui integrator using Simulated Annealing, Genetic Algorithms, and Fletcher and Powell Optimization. The work notes the idea that inverting an optimized integrator does not necessarily lead to an optimized differentiator since the work starts...
Conference Paper
Edge detection is an established image processing field with various applications. The work uses the novel image edge detection technique based on the Al-Alaoui FIR Filter for different purposes that include sharpening, histogram equalization, and range filtering. The edge detection technique which is based on applying masks or kernels on images is...
Conference Paper
Full-text available
Image registration is the process of matching different images whether 2D or 3D of certain similar or common properties for different purposes. This work addresses this field using a Gauss-Newton optimization approach. The problem is basically formulated as minimizing a cost function that is then solved by a backtracking line search. Since this is...

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