20 citations · 20 across the 6 of their papers we have counts for
13 papers
AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization
Maryam Mahdi Alhusseini, Alireza Rouhi, Mohammad-Reza Feizi-Derakhshi
Cybersecurity poses considerable problems to Cloud Computing (CC), especially regarding Intrusion Detection Systems (IDSs), facing difficulties with skewed datasets and suboptimal…
Benchmarking ChatGPT and DeepSeek in April 2025: A Novel Dual Perspective Sentiment Analysis Using Lexicon-Based and Deep Learning Approaches
Maryam Mahdi Alhusseini, Mohammad-Reza Feizi-Derakhshi
This study presents a novel dual-perspective approach to analyzing user reviews for ChatGPT and DeepSeek on the Google Play Store, integrating lexicon-based sentiment analysis (Tex…
Enhanced cast-128 with adaptive s-box optimization via neural networks for image protection
Fadhil Abbas Fadhil, Maryam Mahdi Alhusseini, Mohammad-Reza Feizi-Derakhshi
An improved CAST-128 encryption algorithm, which is done by implementing chaos-based adaptive S-box generation using Logistic sine Map (LSM), has been provided in this paper becaus…
AI-Enhanced Intelligent NIDS Framework: Leveraging Metaheuristic Optimization for Robust Attack Detection and Prevention
Maryam Mahdi Alhusseini, Mohammad Reza Feizi Derakhshi
In todays rapidly evolving digital landscape, safeguarding network infrastructures against cyberattacks has become a critical priority. This research presents an innovative AI-driv…
Persian topic detection based on Human Word association and graph embedding
Mehrdad Ranjbar-Khadivi, Shahin Akbarpour, Mohammad-Reza Feizi-Derakhshi +1
In this paper, we propose a framework to detect topics in social media based on Human Word Association. Identifying topics discussed in these media has become a critical and signif…
Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)
Majid Ramezani, Mohammad-Salar Shahryari, Amir-Reza Feizi-Derakhshi +1
The methods of automatic speech summarization are classified into two groups: supervised and unsupervised methods. Supervised methods are based on a set of features, while unsuperv…