Mohamed Farouk - Academia.edu (original) (raw)

Papers by Mohamed Farouk

Agriculture

Point samples and laboratory testing have historically been used to evaluate fruit quality criter... more Point samples and laboratory testing have historically been used to evaluate fruit quality criteria. Although this method is precise, it is slow, expensive, and destructive, making it unsuitable for large-scale monitoring of these parameters. The main objective of this research was to develop a non-invasive protocol by combining color RGB indices (CIs) and previously published and newly developed three-band spectral reflectance indices (SRIs) with a decision tree (DT) model to evaluate the fruit quality parameters of navel orange. These parameters were brightness (L*), red–green (a*), blue–yellow (b*), chlorophyll meter (Chlm), total soluble solids (TSS), and TSS/acid ratio. The characteristics of fruit quality of navel orange samples were measured at various stages of ripening. The outcomes demonstrated that at various levels of ripening, the fruit quality parameters, RGB imaging indices, and published and newly developed three-band SRIs differed. The newly developed three-band SRI...

Horticulturae

The primary issues in collecting biochemical information in a large area using chemical laborator... more The primary issues in collecting biochemical information in a large area using chemical laboratory procedures are low throughput, hard work, time-consuming, and requiring several samples. Thus, real-time and precise estimation of biochemical variables of various fruits using a proximal remote sensing based on spectral reflectance is critical for harvest time, artificial ripening, and food processing, which might be beneficial economically and ecologically. The main goal of this study was to assess the biochemical parameters of banana fruits such as chlorophyll a (Chl a), chlorophyll b (Chl b), respiration rate, total soluble solids (TSS), and firmness using published and newly developed spectral reflectance indices (SRIs), integrated with machine learning modeling (Artificial Neural Networks; ANN and support vector machine regression; SVMR) at different ripening degrees. The results demonstrated that there were evident and significant differences in values of SRIs at different ripen...

Water

Surface water quality management is an important facet of the effort to meet increasing demand fo... more Surface water quality management is an important facet of the effort to meet increasing demand for water. For that purpose, water quality must be monitored and assessed via the use of innovative techniques, such as water quality indices (WQIs), spectral reflectance indices (SRIs), and multivariate modeling. Throughout the Rosetta and Damietta branches of the Nile River, water samples were collected, and WQIs were assessed at 51 different distinct locations. The drinking water quality index (DWQI), metal index (MI), pollution index (PI), turbidity (Turb.) and total suspended solids (TSS) were assessed to estimate water quality status. Twenty-three physicochemical parameters were examined using standard analytical procedures. The average values of ions and metals exhibited the following sequences: Ca2+ > Na2+ > Mg2+ > K+, HCO32− > Cl− > SO42− > NO3− > CO3− and Al > Fe > Mn > Ba > Ni > Zn > Mo > Cr > Cr, respectively. Furthermore, under the ...

Water, 2021

Water quality has deteriorated in recent years as a result of rising population and unplanned dev... more Water quality has deteriorated in recent years as a result of rising population and unplanned development, impacting ecosystem health. The water quality parameters of Qaroun Lake are contaminated to varying degrees, particularly for aquatic life consumption. For that, the objective of this work is to improve the assessments of surface water quality and to determine the different geo-environmental parameters affecting the lake environmental system in Qaroun Lake utilizing the weighted arithmetic water quality index (WAWQI) and four pollution indices (heavy metal pollution index (HPI), metal index (MI), contamination index (Cd), and pollution index (PI), that are enhanced by multivariate analyses as cluster analysis (CA), principal component analysis (PCA), and support vector machine regression (SVMR). Surface water samples were collected at 16 different locations from the lake during years 2018 and 2019. Thirteen physiochemical parameters were measured and used to calculate water qua...

Sustainability, 2021

Standard methods are limited for monitoring and managing water quality indicators (WQIs) in real-... more Standard methods are limited for monitoring and managing water quality indicators (WQIs) in real-time and on a large scale. Consequently, there is an urgent need to use reliable, practical, swift, and cost-effective monitoring tools that can be easily deployed and assist decision makers in assessing key indicators relevant to surface water quality in a comprehensive manner. Surface water samples were collected and evaluated for water quality at 16 distinct sites across the Qaroun Lake in 2018 and 2019. Different WQIs, including total dissolved solids (TDS), transparency, total suspended solids (TSS), chlorophyll-a (Chl-a), and total phosphorus (TP), were tested for aquatic utilization. An integrated approach comprising WQIs, geospatial techniques, hyperspectral reflectance indices (SRIs) (commonly used SRIs, two-band and three-band SRIs (Spectral index calculated from water spectral reflectance of two or three wavelengths)), and partial least square regression (PLSR) models were use...

Egyptian Journal of Agronomy, 2019

PPLICATION of N-fertilizer could improve the performance of wheat cultivars and grain quality but... more PPLICATION of N-fertilizer could improve the performance of wheat cultivars and grain quality but is known to affect the level of rust diseases, with higher N correlated with increased disease severity. The present study was carried out during 2016/2017 and 2017/2018 growing seasons and aimed to determine the different responses of the tested wheat cultivars to nitrogen fertilizer rates, to define the best fertilizer rate for agricultural improvement and to determine rust severity in wheat cultivars. Study were also determined compromised five fertilizer rates, i.e. 0, 25, 50, 75 and 100kg N fed-1 and three wheat cultivars, i.e. Gemmeiza 11, Shandaweel 1 and Giza 168. Results showed that the interaction effect between nitrogen levels and wheat cultivars was significant for spikes m-2 , grains spike-1 and kernel weight. Gemmeiza 11 with 75kg N fed-1 achieved the highest 1000-kernel weight followed by Giza 168 then Shandaweel 1. For rust severity, Giza 168 and Shandaweel 1 were more resistant to rust diseases followed by Gemmeiza 11. Increased levels of N increased the severity of rust diseases during grain filling. Stripe and leaf rust decreased the yield of the rust-susceptible wheat cultivars. Analysis of agronomic data assured the expected outcomes of a positive association between N application and yield up to a certain level of N application. The study also approved that there are significant positive correlations between N rates and rust severity.

The Egyptian Journal of Language Engineering, 2020

Multimodal speech recognition is proved to be one of the most promising solutions for designing a... more Multimodal speech recognition is proved to be one of the most promising solutions for designing a robust speech recognition system, especially when the audio signal is affected by noise. The visual signal can be used to obtain more information to enhance the recognition accuracy in a noisy system, whereas the reliability of the visual signal is not affected by the acoustic noise. The critical stage in designing a robust speech recognition system is the choice of an appropriate feature extraction method for both audio and visual signals and the choice of a reliable classification method from a large variety of existing classification techniques. This paper extends an earlier work on designing a speech recognition system based on Hidden Markov Model (HMM) classification technique of using visual modality in addition to audio modality[1]. Improved off traditional HMM-based Automatic Speech Recognition (ASR) accuracy is achieved by implementing a technique using either RNN-based or CNN-based approach. This research is intending to deliver two contributions: The first contribution is the methodology of choosing the visual features by comparing different visual features extraction methods like Discrete Cosine Transform (DCT), blocked DCT, and Histograms of Oriented Gradients with Local Binary Patterns (HOG+LBP), and applying different dimension reduction techniques like Principal Component Analysis (PCA), auto-encoder, Linear Discriminant Analysis (LDA), t-distributed Stochastic Neighbor Embedding (t-SNE) to find the most effective features vector size. Then the obtained visual features are early integrated with the audio features obtained by using Mel Frequency Cepstral Coefficients (MFCCs) and the combined audiovisual feature vector is fed to the classification process. The second contribution of this research is the methodology of developing the classification process using deep learning by comparing different Deep Neural Network (DNN) architectures like Bidirectional Long-Short Term Memory (BiLSTM) and Convolution Neural Network (CNN) with the traditional HMM. The proposed model is evaluated on two multispeakers AV-ASR datasets named AVletters 1 and GRID 2 with different SNRs. The model performs speaker-independent experiments in AVlettter dataset and speaker-dependent in GRID dataset. The experimental results obtained in this research showed that using early integration between audio features obtained by MFCC and visual features obtained by DCT with zigzag scanning demonstrate higher recognition accuracy when used with BiLSTM classifier compared to other methods for features extraction, dimension reduction, and classification techniques.

2016 12th International Computer Engineering Conference (ICENCO), 2016

Most developments in speech-based automatic recognition have relied on acoustic speech as the sol... more Most developments in speech-based automatic recognition have relied on acoustic speech as the sole input signal, disregarding its visual counterpart. However, recognition based on acoustic speech alone can be afflicted with deficiencies that prevent its use in many real-world applications, particularly under adverse conditions. The combination of auditory and visual modalities promises higher recognition accuracy and robustness than can be obtained with a single modality. Multimodal recognition is therefore acknowledged as a vital component of the next generation of spoken language systems. This paper aims to build a connected-words audio visual speech recognition system (AV-ASR) for English language that uses both acoustic and visual speech information to improve the recognition performance. Initially, Mel frequency cepstral coefficients (MFCCs) have been used to extract the audio features from the speech-files. For the visual counterpart, the Discrete Cosine Transform (DCT) Coefficients have been used to extract the visual feature from the speaker's mouth region and Principle Component Analysis (PCA) have been used for dimensionality reduction purpose. These features are then concatenated with traditional audio ones, and the resulting features are used for training hidden Markov models (HMMs) parameters using word level acoustic models. The system has been developed using hidden Markov model toolkit (HTK) that uses hidden Markov models (HMMs) for recognition. The potential of the suggested approach is demonstrated by a preliminary experiment on the GRID sentence database one of the largest databases available for audiovisual recognition system, which contains continuous English voice commands for a small vocabulary task. The experimental results show that the proposed Audio Video Speech Recognizer (AV-ASR) system exhibits higher recognition rate in comparison to an audio-only recognizer as well as it indicates robust performance. An increase of success rate by 4% for the grammar based word recognition system overall speakers is achieved for speaker independent test.

Asian Pacific Journal of Cancer Prevention, 2015

Background: Hepatocellular carcinoma (HCC) is the commonest primary malignant cancer of the liver... more Background: Hepatocellular carcinoma (HCC) is the commonest primary malignant cancer of the liver in the world. Insulin-like growth factor-1 (IGF-1) levels reflect hepatic function and are inversely correlated with the severity of background chronic liver disease. Objective: This study evaluated whether basal serum IGF-1 levels can predict prognosis of HCC patients according to different risks of disease progression. Materials and Methods: A total of 89 patients with hepatocellular carcinoma (HCC) were recruited in 3 groups: Group I, 30 HCC patients receiving sorafinib; Group II, 30 HCC patients with best supportive care; and Group III include 29 patients undergoing transcatheter arterial chemoembolization (TACE). All patients were investigated for serum levels of AST, ALP, Bb, Cr, BUN, AFP and IGF-I. Results: Patients with disease control had significantly higher baseline IGF-1 levels 210 (185-232.5) ng/mL (p value<0.01) than did patients without disease control. Low basal IGF-1 levels were associated with advanced HCC, such as multiple tumors and advanced stage, and low IGF-1 levels predicted shorter TTP and overall survival in patients treated with TACE. Conclusions: The levels of serum IGF-1, expressed as continuous values, may be helpful for accurately assessing hepatic function and the prognostic stratification of patients with HCC.

APA Citation Hesham, M. (2019).Efforts to involve youth in policy making in Egypt post-2014 [Mast... more APA Citation Hesham, M. (2019).Efforts to involve youth in policy making in Egypt post-2014 [Master’s thesis, the American University in Cairo]. AUC Knowledge Fountain. https://fount.aucegypt.edu/etds/1357 MLA Citation Hesham, Mohamed. Efforts to involve youth in policy making in Egypt post-2014. 2019. American University in Cairo, Master's thesis. AUC Knowledge Fountain. https://fount.aucegypt.edu/etds/1357

Infrastructure Software Modules for Enterprises, 2017

Persons who use a software system need to communicate, which means every software system should b... more Persons who use a software system need to communicate, which means every software system should be flexible in defining and managing the communication among its users. The system administrator should be able to define the rules for communication. The Communication Rules module's main functionality is to enable software systems to manage the definition of rules that control how users communicate together and evaluate these rules to ensure that every person can communicate with persons without violating the communication rules. After finishing this chapter, you will be able to answer the following questions: Use of the Communication Rules Module by Other Modules No modules need to register to use the Communication Rules module. Other modules can directly use the get allowed communication use-case.

Background: Scar contractures of the fingers represent a major functional and aesthetic burden to... more Background: Scar contractures of the fingers represent a major functional and aesthetic burden to many patients with hand injury. Managing such condition is often challenging and various techniques have been proposed, with flap-based techniques being the conventional options. Percutaneous Needle Aponeurotomy (PNA) combined with lipofilling represent a novel, non-invasive method for managing scar contractures. Methods: This prospective study included 10 patients with scar contractures of the fingers who were managed with PNA and lipofilling at a single center from March 1st, 2015 till March 1st, 2016. Six patients had postburn scars and 4 patients had post-traumatic scarring. Results: All patients had significant improvement in contractures postoperatively at the median follow-up, the mean improvement of contracture was 21 degrees (± 9 degrees) for the MP joint, and 31 degrees (± 12 degrees) for the PIP joint. Functional improvement was recorded in 6 out of 8 patients (75%), and cosm...

2018 9th International Conference on Information and Communication Systems (ICICS), 2018

An intrusion Detection System (IDS) provides alarts against intrusion attacks where a traditional... more An intrusion Detection System (IDS) provides alarts against intrusion attacks where a traditional firewall fails. Machine learning algorithms aim to detect anomalies using supervised and unsupervised approaches. Features selection techniques identify important features and remove irrelevant and redundant attributes to reduce the dimensionality of feature space. This paper presents a features selection framework for efficient network anomaly detection using different machine learning classifiers. The framework applies different strategies by using filter and wrapper features selection methodologies. The aim of this framework is to select the minimum number of features that achieve the highest accuracy. UNSW-NB15 dataset is used in the experimental results to evaluate the proposed framework. The results show that by using 18 features from one of the filter ranking methods and applying J48 as a classifier, an accuracy of 88% is achieved.

Offshore Technology Conference Asia, 2016

Drilling in carbonate reservoirs are challenging in many ways let alone coring. Recently PETRONAS... more Drilling in carbonate reservoirs are challenging in many ways let alone coring. Recently PETRONAS Carigali Sdn. Bhd. managed to successfully core 224m of carbonate formation in a reservoir which contains 70% Carbon Dioxide (CO2) and 70 ppm Hydrogen Sulphide (H2S). This well is located in the western part of the Luconia field offshore Sarawak in Malaysia. Core jamming is one of the biggest culprits of failure in obtaining good core recovery especially in carbonate formations. This is due to the highly vugular nature of carbonate formations which also causes losses of drilling fluid. To add to the challenge in this particular field, the carbonates here vary in their degree of porosity according to depth which means a variation of matrix compactness. This causes drilling breaks and can pose a challenge for coring if not understood properly. Core jamming in loose and interbedded carbonate reservoir pay zones has been a frequent occurrence in the wells drilled in these blocks which motiv...

On September 23rd 2014, after 2000 years from Augustus death, 13 countries have met in Rome, Amst... more On September 23rd 2014, after 2000 years from Augustus death, 13 countries have met in Rome, Amsterdam, Alexandria and Sarajevo, for the opening of an extraordinary exhibition, “Keys to Rome”: an interactive journey to discover Roman Culture, starting from the city of Augustus and reaching the entire Roman Empire, through the visit to 4 fascinating venues, 4 museums with their archaeological collections, more than 10 different technologies supporting and enhancing this global experience. This is more than an exhibition on Roman archaeology. "Keys To Rome" is a unique international exhibition, that, for the first time is organized in parallel in four locations:Rome, in the wonderful setting of the Imperial Fora Museum (Museo dei Fori Imperiali); Alexandria, in the Antiquities Museums of the Bibliotheca Alexandrina; Amsterdam, in the recently renovated Allard Pierson Museum; and Sarajevo, in the newly restored CityHall (Vijecnica) and in the Sarajevo Museum. This Catalog, wi...

2015 International Conference on Cloud Computing (ICCC), 2015

Cloud computing systems assist applications by offering virtualized resources that can be provisi... more Cloud computing systems assist applications by offering virtualized resources that can be provisioned on demand basis. Computing resources are delivered by Virtual Machines (VMs). Traditional development models have many limitations such as cost and delay. Platform as services is an effective solution for most of problems on traditional development application model that faced by programmers as Platform as a Service provides them the same traditional features with a faster speed, reducing the cost and increasing collaboration. The aim of this paper is to develop cloud based framework based on Platform as a Services to assist in developing, testing and deploying application without the need to purchase of hardware, operating systems, and tools that is obtainable as services via the Internet. To evaluate the proposed framework, this study conducted an empirical study by setting up an experiment for programmers and IT 'specialists. The achieved results revealed that the proposed framework can overcome the tradition framework limitations.

SPE Production & Operations, 2016

Summary Wells with extended-reach multilaterals have improved reservoir contact and have opened t... more Summary Wells with extended-reach multilaterals have improved reservoir contact and have opened the opportunity for well-placement and -drilling optimization. Since the early 2000s, the number of maximum-reservoir-contact wells has increased substantially, and the benefit of these wells is being realized at the early implementation stage. To enhance the performance of these multilateral wells, intervention operations in the laterals are required. Stimulation, data acquisition, and other operations are required to optimize the production from the laterals; however, accessing the lateral of any wellbore for intervention in a reliable manner is still a challenge. The present paper describes the development of an intelligent, real-time controllable tool, the well-lateral-intervention tool (WLIT), that can identify a lateral junction and steer an intervention/surveillance string into it. The WLIT is designed to be deployed by use of either coiled tubing or e-line (with the help of a well...

North Africa Technical Conference and Exhibition, 2012

This paper highlights a successful cement job in which more than 1,300 bbl of cement slurry was p... more This paper highlights a successful cement job in which more than 1,300 bbl of cement slurry was pumped to help cement the longest 9 5/8-in. casing in a highly deviated and washed out wellbore in the Gulf of Suez (GOS). This novel slurry design aided efficient cementing across a massive salt section, while mitigating the risks associated with using a multiple-stage cementing tool in highly deviated wells. To access most of the reservoirs in the GOS, operators must drill through a salt section with a thickness sometimes greater than 1000 m. This section is covered with 9 5/8-in. intermediate casing, which is generally cemented in two stages using a multiple-stage cementing tool. Conventional salt slurries of 15.8- to 16-lbm/gal are generally used to cover the salt section. Any failure with the multiple-stage tool can lead to expensive remedial work and can cause salt instability resulting from longer exposure, which can lead to salt creeping or loss of the well. The success ratio of m...

Alexandria Journal of Medicine, 2014

Introduction: Angiogenesis is known to play a pivotal role in most of malignancy, including HCC, ... more Introduction: Angiogenesis is known to play a pivotal role in most of malignancy, including HCC, and in chronic inflammation. Aim: To investigate the angiogenic output in HCV and HBV infection and its implication in the development of HCV associated HCC. Materials and methods: Blood samples were collected and grouped as; HS healthy subjects control group; HCC-HCV; chronic HCV infected patient group (HCV+ve) who are positive for serum anti-HCV antibodies and HCV-RNA; anti-HCV antibody positive and HCV-RNA negative patient group (HCVÀve); patients with positive HBsAg and HBV-DNA group (HBV+ve); and HBsAg positive and HBV-DNA negative patient group (HBVÀve). Serum levels of vascular endothelial growth factor, angiopoietin-2, endostatin and angiostatin were assessed in different studied groups.