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Arya Ahadi, Mohammadreza Hassannejad Bibalan - A Convolutional Neural Network Approach to Schizophrenia Detection Based on Wavelet Transformed EEG Signals
Mohammad Reza Sheikh, Maliheh Sabeti - A Hybrid Method Based on Least Squares Support Vector Regression and Orthonormal Bernoulli Polynomials for Solving Fredholm Integral Equations
Marzieh Pourbabaee - A Modified Fractional Physics-Informed Neural Networks for Solving Fractional Reaction-Diffusion Problems
Maryam Mohammadi, Mohadese Ramezani, Reza Mokhtari - A Novel Multi-Task Learning Architecture for COVID-19 Detection and Lung Infection Segmentation in CT Scans
Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi - A One-Dimensional Convolutional Neural Network Intrusion Detection System on the CICDDoS2019 Dataset in Cloud Environments
Elmira Majidi Hatkehloui, Payam Mahmoudi Nasr - A Predictor-Based Method for Signal Detection in Time Series Data, Case Study: Financial Markets of Iran in Corona Virus Pandemic
Amir Hossein Ghatari, Seyed Reza Seyed Ali Mortezaei - Advancing Ocean Level Prediction with Machine Learning
Nilufar Makky, Ahmad Moradi - An Artificial Neural Networks Approach in Estimating Implied Volatility
Navideh Modarresi, Reza Kazemi, Alireza Mousavi - An Improvement of the Performance of Polar-Space-Trained DuAT Models for the Segmentation of Dermoscopic Images
Parham Izadi Ghahfarokhi - Analyzing Persian Twitter Sentiments on the Arbaeen Walk: A Comparative Study of LDA and BERTopic with the Arbaeen Tweets Dataset
Zeynab Didehkhani - Anomaly Detection using ConvLSTM Autoencoder in Smart Home Environments
Zahra Atashgahi, Mohammadreza Jafaei, Ehsan Nazerfard, Alireza Nadali - Application of Fixed Structure Learning Automata for Designing Intrusion Detection Systems
Kayvan Asghari - Applications of Deep Learning to Predict Ocean-Atmospheric Characteristics
Atefeh Pourkarimian, Mahdi Mohammad Mahdizadeh, Mohammad Reza Khalilabadi - Automated Defect Detection and Grading of Piarom Dates Using Deep Learning
Nasrin Azimi, Danial Mohammad Rezaei - BCGNN: Machine Learning based Breast Cancer Classification Improvement Using Graph Neural Network
Alireza Kazempoor Choobari, Sadegh Sulaimany - Climate Forecasting by Bidirectional Recurrent Neural Networks
Sepehr Abbaspour, Hedieh Sajedi - Comparative Analysis of MLP and RBF Neural Networks for Heart Disease Diagnosis: The Impact of Feature Selection on Model Performance
Fatemeh Moaven, Mostafa Abbaszadeh, Mahboubeh Molavi-Arabshahi - Conditions of an Appropriate Dataset for Movie Conversational Recommender: The Users’ Point of View
Tayyebeh Saeedi, Ali Mohades Khorasani, Hossein Zeinali - CTENet: A Weakly Supervised Approach to Camouflage Detection Using Enhanced Texture, Contrast, and Edges
Fateme Ekhtiari, Ali Jafari, MohammadErfan Mesbah - Early Detection of Alzheimer’s-like Behavior Using Deep Learning and Sensor Data in a Smart Home Environment
Mohammadamin Ahanin, Mobina Riahi, Mohammad Sadegh Rezaei - Enhanced MOGA-DBSCAN: Improving Clustering Quality with a Density-Adjusted Outlier Index
Hossein Eyvazi, Ali Rajaei - Enhanced Parameter Estimation in the Generalized Kuramoto Sivashinsky Equation Using Physics Informed Neural Networks and Maximum Likelihood Estimation
Mahya Pashapour, Mostafa Abbaszadeh, Mehdi Dehghan - Enhancing Epidemiological Models with Parameter Estimation and Symbolic Regression: A Case Study on COVID-19
Shila Rezvani - Enhancing Temporal Action Localization with 3D Input and Attention Mechanisms
Mozhgan Mokari, Khosrow Haj Sadeghi - Find Effective Features and Optimal Algorithms for Predicting Student Performance in Mathematics and Science
Mahboubeh Molavi Arabshahi, Narges Ghanbari - From Images to Insights: Advanced CNN Architectures for Accurate Malaria Cell Classification
Tahereh Majidi, Samira Qasemi, Saeedeh Kamjoo, Mehrdad Lakestani - Fuzzy Ex-RL: Fuzzy Experience-Based Reinforcement Learning
Ali Ghandi, Saeed Bagheri Shouraki - ICSE: Interpretable Counterfactual/SemiFactual Explanations
Sooroush Riazi, Mohammad Akbari, Zahed Rahmati - Identifying factors affecting tourist destinations in Iran: Supervised Learning Approach
Mahdi Nezami - Impact of Feature Types on Boundary Detection Between Metadata and Body in Persian Theses
Nima Shadman, Jalal A. Nasiri - Improving Breast Cancer Prognosis via Multi-Gene Machine Learning Model
Fateme Azizi, Bahram Sadeghi Bigham, Mahboobe Zarrabi - Is Evaluation Based on Accuracy of Classification Algorithms Misleading? An Approach to Model Validation Using Bayes Error Rate
Hossein Kazemzadeh Gharechopogh, Adel Mohammadpour - Machine Learning for Food Demand Prediction: A CatBoost Regression Model
Pouria Mirzaei, Ali Shahande - Metaheuristic Algorithms in Video Games: A Case Study of Pac-Man
Rashin Gholijani Farahani, Niloofar Mirzaei Chahardeh - On the Space Complexity of Counting Triangles Using Oracles
Hossein Jowhari, Arash Rahmati - Optimizing Data Curation through Spectral Analysis and Joint Batch Selection (SALN)
Mohammadreza Sharifi - Optimizing Drug-Disease Association Analysis: A Resource-Efficient Approach Using Numerical Linear Algebra and Machine Learning
Zahra Rafei, Seyedeh Fatemeh Hosseini, Behnam Yousefimehr, Sajed Tavakkoli, Mehdi Ghatee - Pattern Vectors with the Characteristic Coefficients
Asma Zeynali, Dariush Kiani, Sara Saeedi Madani - PhIGT: Physics-Informed Graph Transformer for Planar Cable-Driven Parallel Robot Forward Kinematics
Javad Khoramdel, Ahmad Moori - Predicting Patient’s Recovery Process using Electronic Health Records with Supervised Variational Autoencoder
Zahra Atashgahi, Mohammadreza Jafaei, Ehsan Nazerfard, Alireza Nadali - Proximal Policy Optimization with Adaptive Generalized Advantage Estimate
Naemeh Mohammadpour, Meysam Fozi, Mohammad Mehdi Ebadzadeh, Ali Azimi, Ali Kamalie Iglie - Re-evaluation and Validation of Graph Neural Network for Predicting Drug-Target Binding Affinity
Kowsar Ghomi, Bahram Sadeghi Bigham - Relational Graph Convolutional Networks for Sentiment Analysis
Asal Khosravi, Zahed Rahmati, Ali Vefghi - RFBfeat Deep Neural Network for Cross-View Remote Sensing Image Matching
Mohammad Erfan Messbah, Ali Jafari - Self-Representation Unsupervised Feature Selection based on Non-Negative Matrix Factorization
Hossein Nasser Assadi, Faranges Kyanfar, Farid Saberi-Movahed, Abbas Salemi - Spinal sagittal alignment: investigation of postoperative pelvic kinematic improvement in patients with spinal sagittal imbalance using machine learning methods
Sadegh Madadi, Mostafa Rostami, Hadi Farahani, Farshad Nikouee, Mohammad Samadian, Ram Haddas - The Application and Effectiveness of Machine Learning and Deep Learning Methods in Analyzing and Predicting the Shanghai Stock Index
Raziye Rafibakhsh, Ali Mohades Khorasani, MohammadAmin Rezazadeh - The Effect of Computer Games on the Personality and Creativity of Students of University Interested in Gaming Using Data Mining Techniques
Niloofar Mirzaei Chahardeh, Mahdi Mazinani - The Neural Network Method for Solving Lane–Emden Equation with Chebyshev Polynomials of Second Kind
Marzieh Pourbabaee - Transfer Time Reduction for Offloading in the Mobile Edge Computing using Machine Learning
Sorayya Gharravi, Seyed Morteza Babamir - Two-Stage Classifier for Detecting Campaign Negativity with Axis Embeddings in Persian Tweets
Fatemeh Rajabi, Ali Mohades Khorasani - Using Deep Reinforcement Learning Technique for Distributed Denial of Service Attack Detection in Software Defined Networks
Khashayar Delavari, Mehran Shetabi, Sayed Alireza Sadrossadat