Walid B. HusseinThe British University in Egypt · Faculty of Informatics and Computer Science
Walid B. Hussein
Doctor of Engineering
About
50
Publications
46,592
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405
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Introduction
Walid B. Hussein currently works at the Faculty of Informatics and Computer Science, The British University in Egypt. Walid does research in Artificial Intelligence and Data Mining. Their most recent publication is 'Improved Driver Drowsiness Detection Model Using Relevant Eye Image’s Features'.
Additional affiliations
September 2013 - September 2014
Publications
Publications (50)
Deepfake technology has been controversial for the
past recent years. It has been considered a double-edged sword for
what it has the capability of doing. As much as deep fake
technology can be beneficial in many situations, it has caused a
global concern over the safety of individuals. It can be used to
create inappropriate content to blackma...
Many real-time object recognition systems operate on two-dimensional images, degrading the influence of the involved objects' third-dimensional (i.e., depth) information. The depth information of a captured scene provides a thorough understanding of an object in full-dimensional space. During the last decade, several region proposal techniques have...
In light of this unmistakable exponential data expansion, visual media archiving must be rethought. Human generated meta-data might not be sufficient for efficient data retrieval. Object detection and object recognition enable the generation of computer-generated meta data that improve the storage and retrieval of data. We present a semi-automated...
The majority of existing algorithms for real-time object recognition are based on 2D photos without regard for the depth data of the objects or an awareness of their location in a picture (i.e., foreground/background information). Obtaining depth data from a scene enables a complete knowledge of the location of items in the scene. Several region pr...
Lip-reading is a process of interpreting speech by visually analyzing lip movements. Recent research in this area has shifted from simple word recognition to lip-reading sentences in the wild. This paper attempts to use phonemes as a classification schema for lip-reading sentences to explore an alternative schema and to enhance systems performance....
Lipreading is the process of interpreting speech by visually analysing lip movements. In recent years, research in this area has shifted from word recognition to lipreading sentences in wild and different classification schemas have been investigated, including character-based and viseme-based schemas. In this paper, an attempt is made to use phone...
Automating the monitoring of the roads would mean safer roads
for both car drivers and pedestrians. The objectives of the system
were to build a real time surveillance system for intelligent roads
of the future. The system should be able to detect lane lines, cars,
pedestrians and other moving vehicles on the road. In case a car goes
off its course...
Abstract:
Vehicular Ad-hoc NETworks (VANET) are becoming a reality in today's world. These networks are composed of highly dynamic and capable vehicles and they rely on information that originates and is exchanged between each other. One of the main success factors of this communication is the validity of the data communicated. Hence, malicious veh...
Car accidents has been ranked as the ninth highest death reason annually. As the number of cars increase almost exponentially every single year, there has to be some sort of monitoring and regulation for roads. Automating the monitoring of the roads would mean safer roads for both car drivers and pedestrians. Big technology companies are pushing fo...
Decoding the human brain activity and predicting the visual stimuli is about retrieving and translating the signals of the human brain by applying the signal processing techniques in order to know the concurrent activities of the human brain. The topic has gotten the attention of many scientific communities in recent years as it has many medical ap...
This work enhances the analysis of the student performance in the high education level. This model categorizes the features according to their relativeness to the teaching style and to the student activities on an Electronic Learning system. Several new features are proposed and calculated in each of these two categories/dimensions. This approach a...
Whenever there is photogrammetry or computer vision, image processing techniques take place; since both of sciences depend on extract information from an image. Moreover, it is essential to apply these image processing techniques to obtain the depth information of the scene objects and then construct their 3D view. Researchers have been working in...
[This corrects the article DOI: 10.1002/elsc.201400235.].
This paper introduces a model to analyze and predict students' performance based on two dimensions; teaching style, and eLearning activities. Such data will be collected from educational settings within an academic institution. The analyzed data is used to reveal knowledge and useful patterns from which critical decisions could be made.
The suggest...
The present invention is related to a device and a method using said device for the measurement and classification of bubble sizes in a liquid medium. This invention comprises two electric emitter and receiver transducers located at an angle lower than 180 degrees one with respect to the other, and ultrasonic signal emitter and receiver circuits op...
The automatic, highly accurate and instantaneous authentication of a static off-line handwritten signature is highly required in financial, legal and governmental sectors. The genuine signature features are extracted by models like scale-invariant feature transform (SIFT) and speeded-up robust features (SURF), then the common patterns among these f...
p class="Abstract">Classifying bubbles in liquids is a crucial problem that is demanded within multiple fields. This paper discusses a new method for classifying bubble sizes in non-contact and inexpensive approach using ultrasound analysis. Exploiting the principle of buoyancy, free rising bubbles with larger volumes elevate faster to the surface...
This paper proposes and evaluates classifiers based on Vocal Tract Length Normalization (VTLN) in a text-dependent speaker verification (SV) task with short testing utterances. This type of tasks is important in commercial applications and is not easily addressed with methods designed for long utterances such as JFA and i-Vectors. In contrast, VTLN...
Off-line handwritten signature verification systems are highly required in different domains like financial transactions, forensic sciences, and legal document authentication. The proposed directional features are extracted from off-line signatures to accurately describe the angle of the pixels connection in the signature, for the reason of differe...
Credit risk assessment for bank customers has gained increasing attention in recent years. Several models for credit scoring have been proposed in the literature for this purpose. The accuracy of the model is crucial for any financial institution’s profitability. This paper provided a high accuracy credit scoring model that could be utilized with s...
Handwritten signature is broadly utilized as personal verification in financial institutions ensures the necessity for a robust automatic signature verification tool. This tool aims to reduce fraud in all related financial transactions’ sectors. This paper proposes an online, robust, and automatic signature verification technique using the recent a...
In this paper, digital image processing techniques are applied to measure some of the quality parameters of the durum wheat semolina. One of these parameters is the semolina colour value in the lab colour space L*a*b*, which is the commonly employed colour space in food field. Several numerical methods are developed and analysed for mapping the RGB...
Large resource investments are necessary in order to minimize the limiting problems arising from food industrial intensive productivity. One of the most challenging concerns is the cleaning status uncertainty among heat transfer areas in dairy heat exchangers, since the effectiveness of this process cannot be easily validated. The present study aim...
Characterizing gas bubbles in liquids is crucial to many biomedical, environmental and industrial applications. In this paper a novel method is proposed for the classification of bubble sizes using ultrasound analysis, which is widely acknowledged for being non-invasive, non-contact and inexpensive. This classification is based on 2D templates, i.e...
This paper presents a multivariate regression method for the prediction of maltose concentration in aqueous solutions. For this purpose, time and frequency domain of ultrasonic signals are analyzed. It is shown, that the prediction of concentration at different temperatures is possible by using several multivariate regression models for individual...
This paper proposes a computer-based classifier to automatically identify four seismic events classes of the Llaima volcano, one of the most active volcanoes in the Southern Andes, situated in the Araucanía Region of Chile. A combination of features that provided good recognition performance in our previous papers concerning the Llaima and Villaric...
Fouling and cleaning in heat exchangers are severe and costly (up to 0.3% of gross national product) issues in dairy and food processing. Therefore, reducing cleaning time and cost is urgently needed. In this study, two classification methods [artificial neural network (ANN) and support vector machine (SVM)] for detecting protein and mineral foulin...
Fine cutting of pork is still mainly performed by hand due to a lack of automation options. Two modern imaging techniques were combined inline to control the positioning and the calculation of cutting curves for the fine cutting of porcine hams. The first technique was a stereo camera system with subsequent digital image processing, which detected...
Ultrasound techniques are well suited to provide real-time characterization of bioprocesses in non-invasive, non-contact, and non-destructive low-power consumption measurements. In this paper, a spectral analysis method was proposed to estimate time of flight (TOF) between the propagated echoes, and its corresponding speed of sound (USV). Instantan...
Accurate recognition of sound patterns in spectrograms is important step for further recognition applications. However, background noise forms fundamental problem regardless the species under study. In this paper, crest factor feature was extracted from the limited dynamic range spectrogram. The developed crest factor image behaved as smoothed vers...
Intramuscular fat is an important quality criterion, notably juiciness, in meat grading. But traditional visual inspectors are time consuming and destructive. However, edge detection techniques characterize meat surface in consistence, rapid, and non-destructive approach. In this paper, novel edge detection method applied on intramuscular fat is pr...
This work presents an ultrasound-based inline sensor system, which is used to monitor the alcoholic yeast fermentation. The pulse-echo method is used to determine ultrasound velocity (USV) of the sample medium. The major aim of the paper is to highlight the importance of an accurate time-of-flight (TOF) estimation for accurate concentration determi...
The object of this research was to study the real time percent humidity of the air and consequently to analyze this humidity influences on bread rolls. An industrial baking process was visualised by the use of a high-temperature humidity sensor to measure the level of percent humidity of the air (V% H2O) in relation to the different H2O-steam amoun...
Fouling and cleaning in heat exchangers are severe and costly issues in food processing. In this study, a new pattern recognition method for detecting fouling on stainless steel is presented. It is based on a combination of ultrasonic parameters and a multilayer perceptron feed forward neural network. Chosen acoustic parameters change significantly...
Production planning in German bakeries is mainly based on the experience of the responsible production manager. As a result production planning happens more or less "chaotic", which often results in "bottle-necks", deficient dimensioning, ineffective staff allocation and operational problems. The aforementioned points cause a production environment...
The Red Palm Weevil (RPW) is the most destructive pest of the date palm in the world and a serious pest of coconuts. The insect has caused up to 20% loss of these plantations in Asia and the Middle East. The economic damage to palm crops due to RPW could be mitigated significantly by bioacoustics recognition in an earlier phase of infestation and b...
The Red Palm Weevil (RPW) is the most destructive pest for the date palm in the world. The economic damage to palm crops due to RPW could be mitigated significantly by bioacoustics recognition in an earlier phase of infestation and applying the appropriate treatment. In this paper, a novel signal processing system is developed to detect the existen...
Computer simulations are used to represent the essential features of a real system so that analyzers can test their design skills in a convenient and safe environment. Organizations throughout the world are quickly moving to adopt process modelling and simulation as an integral part of their business decision-making and continuous improvement initi...