Bölüm "MTÖ Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü" Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed için listeleme
Toplam kayıt 7, listelenen: 1-7
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features
(2021)The detection of software vulnerabilities is considered a vital problem in the software security area for a long time. Nowadays, it is challenging to manage software security due to its increased complexity and diversity. ... -
Sequential Feature Maps with LSTM Recurrent Neural Networks for Robust Tumor Classification
(2021)In the field of biomedicine, applications for the identification of biomarkers require a robust gene selection mechanism. To identify the characteristic marker of an observed event, the selection of attributes becomes ...