About the journal
Journal of Computer and Robotics (JCR) published by Qazvin Islamic Azad University (located in Iran) is scholarly open access, peer-reviewed, semi-annual journal. JCR publishes original theoretical and technical research papers as well as experimental ones for development in Computing, Automation, Robotics, and Electrical Engineering. The Journal targets many special issues on innovative topics and specific subjects and strives to bridge the gap between theoretical research and practical applications. The policy of peer review is of Double-blinded. The journal welcomes all research papers from all over the world. The editorial board members are from diverse countries of the world. The journal tries to expedite the review process of received papers. JCR is promised to publish papers that are of enough conformity with the stated aims & scope. JCR is continuously trying to improve its processes with the respect to the international standards of journals.
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Open Access Article
1 - A Robust Optimization Framework for Energy Management in Energy Hubs: Comparative Analysis of SMA, GA, and MILP with Demand Response Integration
Mohammad Reza Ohadi ، Mahdi Hedayati * ، Reza Effatnejad ، Abdolreza Dehghani TaftiIssue 1 , Vol. 18 , Winter 2025 -
Open Access Article
2 - MSDSA: Imbalanced Data Sentiment Analysis using Manifold Smoothness Satisfied Data
Shima Rashidi ، Jarar Tanha * ، Arash Sharifi ، Mehdi HoseinZadehIssue 1 , Vol. 18 , Winter 2025 -
Open Access Article
3 - A convolutional deep learning framework for classification of EEG signals
Farzaneh Latifi ، Rahil Hosseini * ، Arash Sharifi ، Majid SorouriIssue 1 , Vol. 18 , Winter 2025 -
Open Access Article
4 - Evaluating the Harris ,BRISK and SURF Feature Points in Watermarking Based on Histogram and Knapsack Problem
Ali Amiri ، Sattar Mirzakuchaki *Issue 1 , Vol. 18 , Winter 2025 -
Open Access Article
5 - Perturbed Masking for aspect-based sentiment analysis
Akarm Karimi zarandi ، Sayeh Mirzaei *Issue 1 , Vol. 18 , Winter 2025 -
Open Access Article
6 - Forecasting Auto Spare Parts Demand in Iran: A Hybrid Neural Network Approach with Meta-heuristic Optimization
Hanyeh Zareian ، Vahid Baradaran * ، AliReza Rashidi KomijanIssue 1 , Vol. 18 , Winter 2025
