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NCA-based hybrid convolutional neural network model for classification of cervical cancer on gauss-enhanced pap-smear images
(Wiley-Blackwell, 2022)Cervical cancer is a very serious disease that deeply affects women's lives, often resulting in death. This type of cancer, which is very common in women, is diagnosed at an early stage and is of vital importance for the ... -
The Role of Vulnerable Software Metrics on Software Maintainability Prediction
(Dergipark, 2021)Software maintainability is among the basic quality features of software engineering. Vulnerability prediction is crucial to protect software maintainability from attacks for cybersecurity. Hence, managing vulnerability ... -
Sentiment Analysis of Covid-19 Tweets by using LSTM Learning Model
(Ali KARCI, 2021)Social media plays an important role in our lives due to the conditions of the age we live. Nowadays, the most popular social media platform that prioritizes meaningful content sharing is Twitter. In Twitter, which produces ... -
Improving Automated Arabic Essay Questions Grading Based on Microsoft Word Dictionary
(Springer Science and Business Media Deutschland GmbH, 2021)There are three main types of questions: true/false, multiple choice, and essay questions; it is easy to implement automatic grading system (AGS) for multiple choice and true/false questions because the answers are specific ... -
DCW-RNN: Improving Class Level Metrics for Software Vulnerability Detection Using Artificial Immune System with Clock-Work Recurrent Neural Network
(IEEE (Institute of Electrical and Electronics Engineers), 2021)As the defenses evolve, so do the solutions to a software vulnerability. The primary reason for security incidents, e.g., cyber-attacks, originates from software vulnerabilities. It is challenging to enhance the performance ... -
Augmented grasshopper optimization algorithm by differential evolution: a power scheduling application in smart homes
(Springer, 2021)With the increasing number of electricity consumers, production, distribution, and consumption problems of produced energy have appeared. This paper proposed an optimization method to reduce the peak demand using smart ... -
A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection
(Springer, 2021)The automatic detection of software vulnerabilities is considered a complex and common research problem. It is possible to detect several security vulnerabilities using static analysis (SA) tools, but comparatively high ...