A5082234429- Software Engineering Research
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Advanced Malware Detection Techniques
- Software System Performance and Reliability
- Web Application Security Vulnerabilities
- Software Engineering Techniques and Practices
- Scientific Computing and Data Management
- Advanced Neural Network Applications
- Luminescence Properties of Advanced Materials
- Glass properties and applications
- Neural Networks and Applications
- Pigment Synthesis and Properties
- Optical Imaging and Spectroscopy Techniques
- Artificial Intelligence in Healthcare
- Advanced X-ray and CT Imaging
- Microstructure and Mechanical Properties of Steels
- Adversarial Robustness in Machine Learning
- Non-Invasive Vital Sign Monitoring
- Welding Techniques and Residual Stresses
- Urinary Bladder and Prostate Research
- Quality and Safety in Healthcare
- Mobile Health and mHealth Applications
- Cultural Heritage Materials Analysis
- Smart Agriculture and AI
Amirkabir University of Technology
2025
Iran University of Science and Technology
2018-2024
Institute for Research in Fundamental Sciences
2024
<title>Abstract</title> Malware attacks targeting widely used non-executable formats, namely Microsoft Office and PDF files, have become a prevalent threat. These which encompass broad spectrum of data types are classified as complex files. Existing malware detection models currently lack transparency, providing only binary labels without confidence scores. Incorporating score enhances interpretability accuracy. This article proposes learning-based approach including two complementary parts....
Construction noise is one of the leading causes attention impairment both for workers within construction sites and individuals in their direct vicinity. Distraction caused by can significantly affect productivity people surrounding area. In addition, lack adequate increase risk mistakes potentially increasing work-related accidents. This study highlights feasibility using electroencephalogram (EEG) data detecting distractions noise. EEG were collected from 23 participants while they...
The high cost of the test can be dramatically reduced, provided that coverability as an inherent feature code under is predictable. This article offers a machine learning model to predict extent which could cover class in terms new metric called Coverageability. prediction consists ensemble four regression models. samples consist vectors, where features are source metrics computed for class. labeled by Coverageability values their corresponding classes. We offer mathematical evaluate...
Plant diseases pose significant challenges to global crop production, impacting the economy. Innovative agricultural solutions that integrate Internet of Things and machine learning have emerged address this issue for early discovery plant pathogens. While convolutional neural networks (CNNs) been widely used disease detection, recent advancements in deep introduced vision transformers (ViTs) as highly effective models classification tasks various vision-based applications. Researchers...
Software testability is the propensity of code to reveal its existing faults, particularly during automated testing. Testing success depends on program under test. On other hand, testing relies coverage test data provided by a given generation algorithm. However, little empirical evidence has been shown clarify whether and how software affects coverage. In this article, we propose method shed light subject. Our proposed framework uses Under Test (SUT), different automatically generated...
<title>Abstract</title> Using mobile phones for medical applications are proliferating due to high-quality embedded sensors. Jaundice, a yellow discoloration of the skin caused by excess bilirubin, is prevalent physiological problem in newborns. While moderate amounts bilirubin safe healthy newborns, extreme levels fatal and cause devastating irreversible brain damage. Accurate tests measure jaundice require blood draw or dedicated clinical devices facing difficulty where technology...