Ibrahim Elhenawy
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View article: Subject-independent multi-channel voting for EEG-based emotion recognition using wavelet scattering deep network and advanced signal metrics
Subject-independent multi-channel voting for EEG-based emotion recognition using wavelet scattering deep network and advanced signal metrics Open
Electroencephalography (EEG) signals, reflecting human brain activity, hold potential beyond medical diagnosis, particularly in emotion recognition. Despite the development of machine learning models utilizing EEG data for this purpose, ac…
View article: Predicting stock prices using ensemble learning techniques
Predicting stock prices using ensemble learning techniques Open
Stock price prediction has grown in importance due to its role in determining the future worth of business shares. There are several approaches for stock price prediction that can be classified into machine learning, deep learning, and ens…
View article: Enhancing the Recognition of Handwritten Arabic Characters through Hybrid Convolutional and Bidirectional Recurrent Neural Network Models
Enhancing the Recognition of Handwritten Arabic Characters through Hybrid Convolutional and Bidirectional Recurrent Neural Network Models Open
Handwritten Arabic character recognition remains a challenging task in pattern recognition due to the inherent complexities of the cursive script and visual similarities between characters. While deep learning techniques have demonstrated …
View article: Advancing Arabic Handwriting Recognition with Convolutional and Recurrent Neural Network Ensembles
Advancing Arabic Handwriting Recognition with Convolutional and Recurrent Neural Network Ensembles Open
In recent years, Deep learning has shown significant success in English character recognition due to the language's global prevalence. Arab researchers are adapting modern English language processing advancements to Arabic, Urdu, and Pasht…
View article: Advanced Deep Learning Model for Plant Diseases Detection in Precision Agriculture
Advanced Deep Learning Model for Plant Diseases Detection in Precision Agriculture Open
Plant disease detection is becoming a vital research area due to the need to achieve sustainable development goals. This study aims to introduce a new deep learning technique based on inception and a depthwise-separable convolution layer. …
View article: An Improved Model Using Oversampling Technique and Cost-Sensitive Learning for Imbalanced Data Problem
An Improved Model Using Oversampling Technique and Cost-Sensitive Learning for Imbalanced Data Problem Open
In today's world, classification learning is a vital task because of the advancement in technology. However, during the classification process, we found the classifiers (the traditional classification techniques) couldn't handle the imbala…
View article: Deep Learning Algorithms for Arabic Optical Character Recognition: A Survey
Deep Learning Algorithms for Arabic Optical Character Recognition: A Survey Open
In recent years, deep learning has begun to supplant traditional machine learning algorithms in a variety of fields, including machine translation (MT), pattern recognition (PR), natural language processing (NLP), speech recognition (SR), …
View article: Pairing New Approach of Tree Soft with MCDM Techniques: Toward Advisory an Outstanding Web Service Provider Based on QoS Levels
Pairing New Approach of Tree Soft with MCDM Techniques: Toward Advisory an Outstanding Web Service Provider Based on QoS Levels Open
Web services (WSs) have become dynamic because of technological advancements and internet usage. Hence, selecting a WS provider among a variety of WS providers that perform the same function is a critical process. However, the crucial poin…
View article: Cosmic Ray Background Detection and Removal from CCD Images using Neural Networks
Cosmic Ray Background Detection and Removal from CCD Images using Neural Networks Open
Over the last few years, Artificial Neural Networks (ANN) indicate favorable characterizations in accuracy and performance in different scientific fields, especially space since, Astrophysicsand physics.To obtain better quality of astronom…
View article: Intelligent Healthcare: Evaluation Potential Implications of Metaverse in Healthcare Based on Mathematical Decision-Making Framework
Intelligent Healthcare: Evaluation Potential Implications of Metaverse in Healthcare Based on Mathematical Decision-Making Framework Open
The Metaverse has the ability to restructure and change the manner in which individuals connect with one another as well as the activities that they carry out on a daily basis. One definition of a Metaverse describes it as "a virtual, digi…
View article: Predictive Intelligence Technique for Short-Term Load Forecasting in Sustainable Energy Grids
Predictive Intelligence Technique for Short-Term Load Forecasting in Sustainable Energy Grids Open
Short-term load forecasting remains pivotal in managing sustainable energy grids, with accuracy directly influencing operational decisions. Conventional forecasting methodologies often falter in adapting to the dynamic complexities inheren…
View article: Sustainable Intrusion Detection in Vehicular Controller Area Networks using Machine Intelligence Paradigm
Sustainable Intrusion Detection in Vehicular Controller Area Networks using Machine Intelligence Paradigm Open
The advent of smart mobility and the proliferation of connected vehicles have introduced new challenges in securing Vehicular Controller Area Networks (CANs) against cyber threats. This paper proposes an innovative machine intelligence par…
View article: Integrating Machine Intelligence to Estimate PM2.5 Concentration for Sustainable Urban Air Quality Management
Integrating Machine Intelligence to Estimate PM2.5 Concentration for Sustainable Urban Air Quality Management Open
Air quality degradation, particularly the proliferation of fine particulate matter (PM2.5), poses a critical threat to environmental sustainability and public health. This paper introduces a comprehensive machine learning (ML) framework de…
View article: Improved feature selection using a hybrid side-blotched lizard algorithm and genetic algorithm approach
Improved feature selection using a hybrid side-blotched lizard algorithm and genetic algorithm approach Open
Feature selection entails choosing the significant features among a wide collection of original features that are essential for predicting test data using a classifier. Feature selection is commonly used in various applications, such…
View article: Energy Efficiency and Material Cost Savings by Evolution of Solar Panels Used in Photovoltaic Systems under Neutrosophic Model
Energy Efficiency and Material Cost Savings by Evolution of Solar Panels Used in Photovoltaic Systems under Neutrosophic Model Open
<p>Traditional applications of solar panels have been limited to smaller-scale energy production, such as that required by single houses or apartment complexes. Researchers from all around the globe have been working together to deve…
View article: Energy Efficiency and Material Cost Savings by Evolution of Solar Panels Used in Photovoltaic Systems under Neutrosophic Model
Energy Efficiency and Material Cost Savings by Evolution of Solar Panels Used in Photovoltaic Systems under Neutrosophic Model Open
Traditional applications of solar panels have been limited to smaller-scale energy production, such as that required by single houses or apartment complexes. Researchers from all around the globe have been working together to develop creat…
View article: Protecting IoT Devices from BotNet Threats: A Federated Machine Learning Solution
Protecting IoT Devices from BotNet Threats: A Federated Machine Learning Solution Open
The proliferation of Internet of Things (IoT) devices has brought unprecedented convenience to our lives, but it has also opened the door to new security challenges. One of the most pressing threats in the IoT landscape is the proliferatio…
View article: Neutrosophic CRITIC MCDM Methodology for Ranking Factors and Needs of Customers in Product's Target Demographic in Virtual Reality Metaverse
Neutrosophic CRITIC MCDM Methodology for Ranking Factors and Needs of Customers in Product's Target Demographic in Virtual Reality Metaverse Open
Affective design has come to place a premium on customer-centric creativity, which ultimately results in the creation of a product tailored to the requirements of a certain demographic. Designing a fresh and original item that appeals to c…
View article: Novel Framework of Segmentation 3D MRI of Brain Tumors
Novel Framework of Segmentation 3D MRI of Brain Tumors Open
Medical image segmentation is a crucial process for computer-aided diagnosis and surgery. Medical image segmentation refers to portioning the images into small, disjointed parts for simplifying the processes of analysis and examination. Ri…
View article: Proposed Framework for Detection of Breast Tumors
Proposed Framework for Detection of Breast Tumors Open
Computer vision is one of the significant trends in computer science. It plays as a vital role in many applications, especially in the medical field. Early detection and segmentation of different tumors is a big challenge in the medical wo…
View article: A practical evaluation of correlation filter-based object trackers with new features
A practical evaluation of correlation filter-based object trackers with new features Open
Visual object tracking is a critical problem in the field of computer vision. The visual object tracker methods can be divided into Correlation Filters (CF) and non-correlation filters trackers. The main advantage of CF-based trackers is t…
View article: New multi-criteria decision-making technique based on neutrosophic axiomatic design
New multi-criteria decision-making technique based on neutrosophic axiomatic design Open
There are several multicriteria decision-making (MCDM) approaches presented in the literature with their characteristics. Although traditional MCDM approaches are considered a proper implementation to select the best alternative from avail…
View article: Detection and removing cosmic ray of space astronomical images based on Artificial Neural Network
Detection and removing cosmic ray of space astronomical images based on Artificial Neural Network Open
Artificial neural network modelling has proven effective in impressively wide range of scientific disciplines. To obtain better quality of astronomical images the signatures of transient artifacts such as cosmic rays, satellite trails and …
View article: A Multi-Objective Optimization for Supply Chain Management using Artificial Intelligence (AI)
A Multi-Objective Optimization for Supply Chain Management using Artificial Intelligence (AI) Open
Supply chain management seeks to solve the complex problems of transporting goods from the suppliers to the end customers. Improving the differentiation between different paths to reduce costs and time may require smart systems. This paper…
View article: Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods
Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods Open
Price prediction of goods is a vital point of research due to how common e-commerce platforms are. There are several efforts conducted to forecast the price of items using classic machine learning algorithms and statistical models. These m…
View article: Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey
Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey Open
Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis. Additionally, deep learning performance is affected b…
View article: Intelligent Neutrosophic Diagnostic System for Cardiotocography Data
Intelligent Neutrosophic Diagnostic System for Cardiotocography Data Open
Cardiotocography data uncertainty is a critical task for the classification in biomedical field. Constructing good and efficient classifier via machine learning algorithms is necessary to help doctors in diagnosing the state of fetus heart…
View article: Usages of Spark Framework with Different Machine Learning Algorithms
Usages of Spark Framework with Different Machine Learning Algorithms Open
Sensors, satellites, mobile devices, social media, e‐commerce, and the Internet, among others, saturate us with data. The Internet of Things, in particular, enables massive amounts of data to be generated more quickly. The Internet of Thin…
View article: A Survey on Flower pollination algorithm
A Survey on Flower pollination algorithm Open
Flower pollination algorithm (FPA) is a metaheuristic algorithm that proceeds its representation from flowers' proliferation role in plants. The optimal plant reproduction strategy involves the survival of the fittest as well as the optima…
View article: Utilizing the New Technologies For Enhancing Healthcare Tourism in Egypt
Utilizing the New Technologies For Enhancing Healthcare Tourism in Egypt Open
This paper recognizes and identifies various new advances technologies and applications in Information Communication Technologies that gradually revolutionize the tourism industry and related business and industries. The Tourism business s…