• Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques 

  Taherkhani, Leila؛ Daneshvar, Amir؛ Amoozad Khalili, Hossein؛ Sanaei, MohammadReza (University of Science and Culture, 2025-04-01)

  In today's data-driven hospitality sector, customer interactions increasingly occur through digital platforms, generating extensive behavioral and transactional information. This study analyse the prediction of Customer ...

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• VG-CGARN: Video Generation Using Convolutional Generative Adversarial and Recurrent Networks 

  Sobhani Manesh, Fatemeh؛ Nazari, Amin؛ Mansoorizadeh, Muharram؛ Dezfoulian, MirHossein (University of Science and Culture, 2025-04-01)

  Generating dynamic videos from static images and accurately modeling object motion within scenes are fundamental challenges in computer vision, with broad applications in video enhancement, photo animation, and visual scene ...

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• BSAGIoT: A Bayesian Security Aspect Graph for Internet of Things (IoT) 

  Lashkaripour, Zeinab؛ Khosravi-Farmad, Masoud؛ Montazerolghaem, AhmadReza؛ Rezaee, Razieh (University of Science and Culture, 2025-04-01)

  IoT is a dynamic network of interconnected things that communicate and exchange data, where security is a significant issue. Previous studies have mainly focused on attack classifications and open issues rather than ...

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• Enhancing Software-Defined Networking (SDN) Resilience against Cyberattacks: A Markov Model-Based Approach 

  Jalili, Ahmad (University of Science and Culture, 2025-04-01)

  Software-Defined Network (SDN) introduces centralized network control via the OpenFlow protocol, enhancing network management, traffic routing, and security policy enforcement. However, SDN's centralized nature also ...

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• Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks 

  Saleh, Mohammad؛ Tabatabaei, Azadeh (University of Science and Culture, 2025-04-01)

  Objective: This review explores the trustworthiness of multimodal artificial intelligence (AI) systems, specifically focusing on vision-language tasks. It addresses critical challenges related to fairness, transparency, ...

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• A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media 

  Jalaly Bidgoly, Amir؛ Rahmanian, Zolikha؛ Dehghani, Abbas (University of Science and Culture, 2025-04-01)

  Online reviews are crucial in influencing consumer decisions and business practices. However, some individuals exploit this system by posting fake reviews, known as spam opinions, to manipulate perceptions. Spam detection ...

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• Optimizing Server Load Distribution in Multimedia IoT Environments through LSTM-Based Predictive Algorithms 

  Imanpour, Somaye؛ Montazerolghaem, AhmadReza؛ Afshari, Saeed (University of Science and Culture, 2025-01-01)

  The Internet of Multimedia Things (IoMT) represents a significant advancement in the evolution of IoT technologies, focusing on the transmission and management of multimedia streams. As the volume of data continues to surge ...

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• A Meta-Synthesis on the Role of Metaverse Technology in the Sustainable Development of Tourism 

  esmi, sousan؛ hashemi, seyed saeed (University of Science and Culture, 2025-01-01)

  This study explores the potential of metaverse technology in advancing sustainable tourism development in alignment with the United Nations' Sustainable Development Goals. Through a meta-synthesis analysis following a ...

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• Human Activity Recognition Using a Hybrid Approach of Radial Basis Neural Networks and Support Vector Machines 

  Azimzadeh, Fatemeh؛ Ghoroghi, Ali (University of Science and Culture, 2025-01-01)

  The Internet of Things (IoT) has become increasingly prevalent, and recent advances in machine learning, particularly in healthcare, have gained significant attention from researchers. One prominent interdisciplinary topic ...

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• A Comprehensive Multidimensional Analysis of Mental Health Challenges in the Digital Age 

  Noorbehbahani, Fakhroddin؛ Hoghooghi Esfahani, Hooman؛ Bajoghli, Soroush (University of Science and Culture, 2025-01-01)

  The digital era has introduced mental health challenges, especially for youth. Despite increasing awareness, comprehensive analyses of these challenges remain limited. This study collects and examines the prevalence of 15 ...

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• Exploring the Causal Effects of Hate Speech on Social Media Users During the COVID-19 Pandemic 

  Pourgholamali, Fatemeh؛ Alam, Akram (University of Science and Culture, 2025-01-01)

  Social media platforms are vital repositories of user-generated content, reflecting a range of emotions, interests, and discussions. Among these interactions, hate speech has emerged as a significant issue, influencing ...

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• Enhance Learning Performance Through Enriching Video Content Based on Ego State Therapy 

  Mahmoudi, Mohsen؛ Taghiyareh, Fattaneh؛ Hidaji, Abtin (University of Science and Culture, 2025-01-01)

  One of the most important aspects of learning is attention. This is even more pronounced in online education due to the instructor's need for sufficient control over the learner's environment. This study aims to identify ...

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• A Review on Transformer-Based Methods for Human Activity Recognition 

  Lesani, Fatemeh Sadat؛ Fatahi, Ronak (University of Science and Culture, 2024-10-01)

  With the expansion of smart homes, Human Activity Recognition (HAR) has become a key challenge in artificial intelligence, enhancing not only the comfort and safety of residents but also contributing to the development of ...

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• A Sentiment Analysis of Persian Twitter over a Five-Year Period; From the Medical Error in the Death of a Celebrated Iranian Filmmaker to COVID-19 

  Tafreshi, AmirAli؛ Esfandyari, Maryam؛ Ghodsi, Amir Mohammad؛ Rasouli, Fatemeh (University of Science and Culture, 2024-10-01)

  In recent years, the field of medicine in Iran has faced significant public scrutiny, influenced by two major health crises: the 2016 death of acclaimed filmmaker Abbas Kiarostami due to a medical error and the COVID-19 ...

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• A Combined Approach Of Adasyn And Tomeklink For Anomaly Network Intrusion Detection System Using Some Selected Machine Learning Algorithms 

  SALIHU, NASIRU؛ Musa, Muhammed؛ Olalekan, Awujola (University of Science and Culture, 2024-10-01)

  Securing computer networks against malicious attacks requires an efficient Network Intrusion Detection System (IDS). While machine learning techniques are commonly used for anomaly-based intrusion detection, data imbalance ...

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• A Scalable Method for Real-Time Facial Emotion Recognition using an Artificial Neural Network and Polynomial Equation 

  Ghadami, Omid؛ Rezvanian, Alireza (University of Science and Culture, 2024-10-01)

  Facial emotion recognition has recently attracted considerable interest due to its wide range of applications. It plays a crucial role in supporting individuals with autism spectrum disorders and improving interactions ...

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• State-Space Analysis and Complexity Assessment of Puzzle Games Using Colored Petri Nets 

  Taghinezhad-Niar, Ahmad؛ Pashazadeh, Saeid (University of Science and Culture, 2024-10-01)

  The verification of complex systems has traditionally relied on semi-automatic theorem-proving methods. However, model checking represents a paradigm shift by enabling automated, exhaustive verification of behavioral ...

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• MultiCGCN: Multi-Label Text Classification using GCNs and Heterogeneous Graphs 

  Allahgholi, Milad؛ Rahmani, Hossein؛ Soltanzadeh, Parinaz؛ Naebzadeh, Aylin (University of Science and Culture, 2024-10-01)

  Multi-label text classification is a critical challenge in natural language processing, where the goal is to assign multiple labels to a given document. Recent advances have primarily focused on deep learning approaches, ...

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• Dynamic Graph Attention Network with Sentiment Analysis for Fake News Detection in Social Networks 

  jokar, fatemeh (University of Science and Culture, 2024-10-01)

  Detecting fake news on social media platforms remains a significant challenge due to the dynamic nature of these networks, evolving user-news relationships, the difficulty in distinguishing real from fake information, and ...

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• Identification of Key Modules of Lung Cancer in Gene Regulatory Network using Greedy Modularity Optimization Approach 

  Mirghadery, Zahra Sadat؛ Kargari, Mehrdad؛ Akhavan-Safar, Mostafa (University of Science and Culture, 2024-07-01)

  Cancer is a complex and dangerous disease in which cells uncontrollably begin to grow. Some cells, with mutated genes, cause abnormalities in the cell. These abnormalities are transferred to other genes through specific ...

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