Mohamed A. El-Rashidy
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View article: Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information
Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information Open
The rise in popularity of face anti-spoofing is attributed to its crucial role in safeguarding face recognition systems. Perpetrators use either a photo or a video to execute a face-spoofing attack on the authentication system of an author…
View article: An Efficient IoT-based Crop Damage Prediction Framework in Smart Agricultural Systems
An Efficient IoT-based Crop Damage Prediction Framework in Smart Agricultural Systems Open
This study proposes an intelligent IoT-based framework for forecasting crop damage in smart agricultural systems. Integrating smart farming with machine learning (ML) to comprehend the complex relationships in agriculture requires access t…
View article: A novel deep learning approach (Bi-xBcNet-96) considering green AI to discover breast cancer using mammography images
A novel deep learning approach (Bi-xBcNet-96) considering green AI to discover breast cancer using mammography images Open
Clinical decision support systems (CDSSs) can effectively detect illnesses such as breast cancer (BC) using a variety of medical imaging techniques. BC is a key factor contributing to the rise in the death rate among women worldwide. Early…
View article: Enhancing Federated Learning Security, Scalability, and Future Incentives
Enhancing Federated Learning Security, Scalability, and Future Incentives Open
This study delves into the integration of Storj and blockchain technology within the context of federated learning (FL) and its implications for scalability and efficiency. By leveraging blockchain, we aimed to bolster security and transpa…
View article: A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L<sub>2</sub>CNN-BCDet)
A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L<sub>2</sub>CNN-BCDet) Open
Artificial intelligence (AI) technologies have vastly improved. AI is now being used in a variety of applications to diagnose Breast Cancer (BC). However, most of the recent research has focused on centralized learning, which can pose priv…
View article: Attention-based contextual local and global features for urgent posts classification in MOOCs discussion forums
Attention-based contextual local and global features for urgent posts classification in MOOCs discussion forums Open
The Massive Open Online Courses (MOOCs) platform offers communication channels for students to share concerns about the educational process. Due to the large number of students compared to the instructors’, it is challenging to identify ur…
View article: Enhancing Communication and Comprehension for Individuals with Special Needs through Federated Learning: A Deep Learning Approach
Enhancing Communication and Comprehension for Individuals with Special Needs through Federated Learning: A Deep Learning Approach Open
Individuals with special needs most of the time find it harder to identify hazards and dangers as well as circumstances that are socially challenging. Hence, they face the risk of falling victim to abuse and violence. In this paper, the ma…
View article: New weighted BERT features and multi-CNN models to enhance the performance of MOOC posts classification
New weighted BERT features and multi-CNN models to enhance the performance of MOOC posts classification Open
Learning is an essential requirement for humans, and its means have evolved. Ten years ago, Massive Open Online Courses (MOOCs) were introduced, attracting many interests and learners. MOOCs provide forums for learners to interact with ins…
View article: An effective text plagiarism detection system based on feature selection and SVM techniques
An effective text plagiarism detection system based on feature selection and SVM techniques Open
Text plagiarism has greatly spread in the recent years, it becomes a common problem in several fields such as research manuscripts, textbooks, patents, academic circles, etc. There are many sentence similarity features were used to detect …
View article: Efficient online detection system of power disturbances based on Deep-Learning approach
Efficient online detection system of power disturbances based on Deep-Learning approach Open
The economic and social effects from electric disruptions have been increasing. They can cause current and voltage interferences and result in disasters. Therefore, online assessment of transit stability is essential for the control of pow…
View article: An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture
An Efficient Plant Disease Recognition System Using Hybrid Convolutional Neural Networks (CNNs) and Conditional Random Fields (CRFs) for Smart IoT Applications in Agriculture Open
In recent times, the Internet of Things (IoT) and Deep Learning Models (DLMs) can be utilized for developing smart agriculture to determine the exact location of the diseased part of the leaf on farmland in an efficient manner. There is no…
View article: Intelligent Model for Data Analytical Study of Coronavirus COVID-19 Databases
Intelligent Model for Data Analytical Study of Coronavirus COVID-19 Databases Open
The pandemic coronavirus COVID-19 spread around the world with deaths exceeding that of SARS. COVID-19 is believed to have been transmitted from animals, especially from bats, and the virus is transmitted from person to person over time. T…
View article: Reliable plagiarism detection system based on deep learning approaches
Reliable plagiarism detection system based on deep learning approaches Open
The phenomenon of scientific burglary has seen a significant increase recently due to the technological development in software. Therefore, many types of research have been developed to address this phenomenon. However, detecting lexical, …
View article: An efficient and portable solar cell defect detection system
An efficient and portable solar cell defect detection system Open
The photovoltaic (PV) system industry is continuously developing around the world due to the high energy demand, even though the primary current energy source is fossil fuels, which are a limited source and other sources are very expensive…
View article: The Prognostic Significance of MACC1 Expression in Breast Cancer and Its Relationship to Immune Cells in the Tumor Microenvironment and Patient Survival
The Prognostic Significance of MACC1 Expression in Breast Cancer and Its Relationship to Immune Cells in the Tumor Microenvironment and Patient Survival Open
Breast cancer (BC) is one of the most prevalent malignancies among females worldwide. Globally, distant metastases were reported to be responsible for a large proportion of breast cancer-related deaths. The metastasis-associated colon canc…
View article: The Expression of Circulating miR-497 and Metadherin in Hepatocellular Carcinoma: Relation to the Tumor Characteristics and Patients’ Survival
The Expression of Circulating miR-497 and Metadherin in Hepatocellular Carcinoma: Relation to the Tumor Characteristics and Patients’ Survival Open
Objectives: This study aimed to evaluate the prognostic significance and relationship of miR-497 and metadherin to hepatocellular carcinoma (HCC) tumor characteristics and patients’ survival. Methods: This study enrolled 120 (60 HCC patien…
View article: Application of EGFR, ki 67 and GFAP as a panel for the diagnosis and grading of astrocytomas
Application of EGFR, ki 67 and GFAP as a panel for the diagnosis and grading of astrocytomas Open
conference report, and case studies.These types of publication are directed at the interface of the fields of cancer and biomedical research.The IJCBR relies on a distinguished expert of the Advisory and Editorial Board Members from the to…
View article: A Smart Model for Web Phishing Detection Based on New Proposed Feature Selection Technique
A Smart Model for Web Phishing Detection Based on New Proposed Feature Selection Technique Open
Web-phishing attacks are one of the most serious cybercrime. It enables hackers to access the devices of many users and spy on their personal data such as passwords and credit card details. Hackers use a lot of tricks through the internet,…
View article: Evaluation of the prognostic significance of P53 and Proliferating cell nuclear antigen (PCNA) in laryngeal squamous cell carcinoma
Evaluation of the prognostic significance of P53 and Proliferating cell nuclear antigen (PCNA) in laryngeal squamous cell carcinoma Open
Background: Laryngeal tumors are considered to be the most frequent neoplasm of head and neck cancers, they account for almost 25% of the malignant neoplasms involving this region.Even though it shows better clinical outcome, its prognosis…
View article: A Smart Model for Web Phishing Detection Based on New Proposed Feature Selection Technique
A Smart Model for Web Phishing Detection Based on New Proposed Feature Selection Technique Open
Web-phishing attacks are one of the most serious cybercrime. It enables hackers to access the devices of many users and spy on their personal data such as passwords and credit card details. Hackers use a lot of tricks through the internet,…
View article: The Role of Stem Cell Factor in Hyperpigmented Skin Lesions
The Role of Stem Cell Factor in Hyperpigmented Skin Lesions Open
SCF has a great role in skin hyperpigmented disorders and this can be used as a target for the developing of new antipigmentary lines of treatment by inhibiting SCF. SCF can also be involved in the emergence of some skin tumors.
View article: Pre-treatment with Empagliflozin ameliorates Cisplatin induced acute kidney injury by suppressing apoptosis
Pre-treatment with Empagliflozin ameliorates Cisplatin induced acute kidney injury by suppressing apoptosis Open
Dose-limiting nephrotoxicity restricts Cisplatin use in high therapeutic doses. Empagliflozin showed a reno-protective effect in diabetic nephropathy. We investigated if Empagliflozin can ameliorate Cisplatin nephrotoxicity whether used pr…
View article: Histone H1.5 Expression in Prostatic Carcinoma: An Immunohistochemical Study
Histone H1.5 Expression in Prostatic Carcinoma: An Immunohistochemical Study Open
Background and Aim: Histone H1.5 (HH1.5) is a subtype of histone H1, a family of linker proteins that is known to determine chromatin structure, alter gene expression and DNA repair. It also contributes to regulation of cell proliferation …
View article: Nuclear Reactors Safety Core Parameters Prediction using Artificial Neural Networks
Nuclear Reactors Safety Core Parameters Prediction using Artificial Neural Networks Open
The present work investigates an appropriate algorithm based on Multilayer Perceptron Neural Network (MPNN), Apriori association rules and Particle Swarm Optimization (PSO) models for predicting two significant core safety parameters; the …
View article: Feature Extraction of the Alzheimer’s Disease Images Using Different Optimization Algorithms
Feature Extraction of the Alzheimer’s Disease Images Using Different Optimization Algorithms Open
Alzheimer's disease (AD) is a type of dementia that causes problems with memory, thinking and behavior. The symptoms of the AD are usually developed slowly and got worse over time, till reach to severe enough stage which can't interfere wi…