• ConSPro: Context-Aware Stance Detection Using Zero-Shot Prompting 

  Allahgholi, Milad؛ Rahmani, Hossein؛ Soltanzadeh, Parinaz (Shahrood University of Technology, 2025-04-01)

  Stance detection is the process of identifying and classifying an author's point of view or stance towards a specific target in a given text. Most of previous studies on stance detection neglect the contextual information ...

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• Exploring the Relationship between User Posts and List Subscription Behaviors on Twitter/X 

  Alizadeh Noughabi, Havva (Shahrood University of Technology, 2025-04-01)

  Social media platforms have transformed information consumption, offering personalized features that enhance engagement and streamline content discovery. Among these, the Twitter Lists functionality allows users to curate ...

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• Multi-Head Self-Attention Fusion Network for Enhanced Multi-Class Crop Disease Classification 

  Kinyanjui, Thomas؛ Mugoye, Kelvin؛ Kibuku, Rachael (Shahrood University of Technology, 2025-04-01)

  This paper presents a Multi-Head Self-Attention Fusion Network (MHSA-FN) for real-time crop disease classification, addressing key limitations in existing models, including suboptimal feature extraction, inefficient feature ...

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• ISUD (Individuals with Substance Use Disorder): A Novel Metaheuristic Algorithm for Solving Optimization Problems 

  Zandi, Farzad؛ Mansouri, Parvaneh؛ Sheibani, Reza (Shahrood University of Technology, 2025-04-01)

  In the field of optimization, metaheuristic algorithms have garnered significant interest. These algorithms, which draw inspiration from natural selection, evolution, and problem-solving strategies, offer an alternative ...

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• A Pattern and Summarization Based Optimization Algorithm to QoS-Aware Web Service Composition Selection 

  Babamir, Seyed Morteza؛ Zahiri, Narges (Shahrood University of Technology, 2025-04-01)

  Web service composition represents a graph of interacting services designed to fulfill user requirements, where each node denotes a service, and each edge represents an interaction between two services. A few candidates ...

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• Innovative Drone Base Station Placement in 6G Networks: A Marine Predators Algorithm Approach 

  Khosroabadi, Saeed؛ Alaboodi, Hussein (Shahrood University of Technology, 2025-04-01)

  In the context of advancing sixth-generation (6G) communication networks, ensuring high-quality user coverage across varying geographic landscapes remains a paramount objective. Terrestrial base stations conventionally ...

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• A Hybrid Feature Selection Technique Leveraging Principal Component Analysis And Support Vector Machines 

  Hoseini, Sayyed Mohammad؛ Ebtia, Majid؛ Dehgardi, Mohanna (Shahrood University of Technology, 2025-04-01)

  The abundance of high dimensional datasets and the computational limitations of data analysis processes in applying to high-dimensional data have made clear the importance of developing feature selection methods. The ...

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• Employing Chaos Theory for Exploration-Exploitation Balance in Reinforcement Learning 

  Khodadadi, Habib؛ Derhami, Vali (Shahrood University of Technology, 2025-04-01)

  The exploration-exploitation trade-off poses a significant challenge in reinforcement learning. For this reason, action selection methods such as ε-greedy and Soft-Max approaches are used instead of the greedy method. These ...

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• Dynamic Sensors Assignment to Improving Lifetime Wireless Sensor Networks 

  Abdi Seyedkolaei, Ali (Shahrood University of Technology, 2025-04-01)

  Deploying multiple sinks instead of a single sink is one possible solution to improve the lifetime and durability of wireless sensor networks. Using multiple sinks leads to the definition of a problem known as the sink ...

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• A Hybrid Deep Learning Framework for Detecting Bipolar Disorder Through Persian Handwriting Patterns 

  Rezaee, Khosro (Shahrood University of Technology, 2025-04-01)

  Bipolar disorder (BD) remains a pervasive mental health challenge, demanding innovative diagnostic approaches beyond traditional, subjective assessments. This study pioneers a non-invasive handwriting-based diagnostic ...

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• Harnessing Machine Learning for Procedural Content Generation in Gaming: A Comprehensive Review 

  Saffari, Shaqayeq؛ Dorrigiv, Morteza؛ Yaghmaee, Farzin (Shahrood University of Technology, 2024-11-01)

  Procedural Content Generation (PCG) through automated and algorithmic content generation is an active research field in the gaming industry. Recently, Machine Learning (ML) approaches have played a pivotal role in advancing ...

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• Study on Generative Adversarial Network in Discrete Data: A Survey 

  Mohammadi Gohar, Alireza؛ Rahbar, Kambiz؛ Minaei-Bidgoli, Behrouz؛ Beheshtifard, Ziaeddin (Shahrood University of Technology, 2024-11-01)

  Generative Adversarial Networks (GANs) have emerged as a pivotal research focus within artificial intelligence due to their exceptional capabilities in data generation. Their ability to produce high-quality synthetic data ...

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• Acquiring the Coordinates for the Welding Seam through the Utilization of Point Cloud and Welding Map 

  Zeymaran, Shiva؛ Derhami, Vali؛ Mehrandezh, Mehran (Shahrood University of Technology, 2024-11-01)

  This paper presents an accurate and efficient method for determining the coordinates of welding seams, addressing a significant challenge in the deployment of welding robots for complex tasks. Despite welding robots' ...

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• Stable Synchronization in Fuzzy Recurrent Neural Networks within a Fixed Time Frame 

  Sabahi, Farnaz (Shahrood University of Technology, 2024-11-01)

  This paper explores fixed-time synchronization for discontinuous fuzzy delay recurrent neural networks (DFRNNs) with time-varying delays. Based on a generalized variable transformation, the error system has been developed ...

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• Application of Machine Learning and Metaheuristic Optimizer Algorithm for Crash Severity Prediction in the Urban Road Network 

  Zanjireh, Morteza؛ Morady, Farzad (Shahrood University of Technology, 2024-11-01)

  This paper predicts the severity of crashes based on the analysis of multiple variables and using machine learning methods. For this purpose, data related to the years 2012 to 2024 of Tempe city in the state of Arizona USA ...

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• Comparative Analysis of Tree-Based Machine Learning Algorithms on Thyroid Disease Prediction Using ROS Technique and Hyperparameter Optimization 

  Moradi, Elahe (Shahrood University of Technology, 2024-11-01)

  Thyroid disease is common worldwide and early diagnosis plays an important role in effective treatment and management. Utilizing machine learning techniques is vital in thyroid disease diagnosis. This research proposes ...

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• Fuzzy Clustering of Noisy Images Using a Gaussian Kernel and Spatial Information with Automatic Parameter Tuning and C+ Means Initialization 

  Erfani Haji Pour, Mohsen (Shahrood University of Technology, 2024-11-01)

  The segmentation of noisy images remains one of the primary challenges in image processing. Traditional fuzzy clustering algorithms often exhibit poor performance in the presence of high-density noise due to insufficient ...

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• A CNN-LSTM-based Approach for Classification and Quality Detection of Rice Varieties 

  Mavaddati, Samira؛ Razavi, Mohammad (Shahrood University of Technology, 2024-11-01)

  Rice is one of the most important staple crops in the world and provides millions of people with a significant source of food and income. Problems related to rice classification and quality detection can significantly ...

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• FinFD-GCN: Using Graph Convolutional Networks for Fraud Detection in Financial Data 

  Yadegar, Mohamad Mahdi؛ Rahmani, Hossein (Shahrood University of Technology, 2024-11-01)

  In recent years, new technologies have brought new innovations into the financial and commercial world, giving fraudsters many ways to commit fraud and cost companies big time. We can build systems that detect fraudulent ...

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• Development of a Persian Mobile Sales Chatbot based on LLMs and Transformer 

  Esfandiari, Nura؛ Kiani, Kourosh؛ Rastgoo, Razieh (Shahrood University of Technology, 2024-11-01)

  Chatbots are computer programs designed to simulate human conversation. Powered by artificial intelligence (AI), these chatbots are increasingly used to provide customer service, particularly by large language models (LLMs). ...

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