• Enhanced Self-Attention Model for Cross-Lingual Semantic Textual Similarity in SOV and SVO Languages: Persian and English Case Study 

  Ganjalipour, Ebrahim؛ Refahi Sheikhani, Amir Hossein؛ Kordrostami, Sohrab؛ Hosseinzadeh, Ali Asghar (Qazvin Islamic Azad University, 2023-10-01)

  Semantic Textual Similarity (STS) is considered one of the subfields of natural language processing that has gained extensive research attention in recent years. Measuring the semantic similarity between words, phrases, ...

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• The Effect of using Virtual Reality Game on Health and Fitness 

  Mousavi, Seyed Amirhossein؛ Tahami, Ehsan؛ Bidaki, Majid Zare (Qazvin Islamic Azad University, 2023-10-01)

  During the corona days, the body's activities are very reduced due to the quarantine, and after that, many people still have little activity. Nearly two billion people in the world are overweight. In other words, more than ...

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• An Interval Type-2 Fuzzy-Markov Model for Prediction of Urban Air Pollution 

  Safari, Aref؛ Hosseini, Rahil؛ Mazinani, Mahdi (Qazvin Islamic Azad University, 2023-10-01)

  Prediction is a very important problem that appears in many disciplines. Better weather forecasts can save lives in the event of a catastrophic hurricane; better financial forecasts can improve the return on an investment. ...

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• A Model for Predicting Building Energy Consumption Based on the Stacking of Machine Learning Regression Models 

  Khodadadi, MohammadHosein؛ Riazi, Ladan؛ Yazdani, Samaneh (Qazvin Islamic Azad University, 2023-06-01)

  In different societies, buildings are considered one of the main energy consumers in the world, and accordingly, they are responsible for a significant percentage of greenhouse gas emissions. Due to the upward growth of ...

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• An Interval Type-2 Fuzzy-Markov Model for Prediction of Urban Air Pollution 

  Safari, Aref؛ Hosseini, Rahil؛ Mazinani, Mahdi (Qazvin Islamic Azad University, 2023-06-01)

  Prediction is a very important problem that appears in many disciplines. Better weather forecasts can save lives in the event of a catastrophic hurricane; better financial forecasts can improve the return on an investment. ...

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• Cryptographic Algorithms: A Review of the Literature, Weaknesses and Open Challenges 

  Salami, Yashar؛ Khajevand, Vahid؛ Zeinali, Esmaeil (Qazvin Islamic Azad University, 2023-06-01)

  Information security has become an important issue in the modern world due to its increasing popularity in Internet commerce and communication technologies such as the Internet of Things. Future media actors are considered ...

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• Epileptic seizure prediction using multi-channel raw EEGs with Convolutional Neural Network 

  Nazari, Jamal؛ Motie Nasrabadi, Ali؛ Menhaj, Mohamad Bager؛ Raiesdana, Somayeh (Qazvin Islamic Azad University, 2023-06-01)

  Epileptic seizure prediction has been one of the interesting topics among researchers in recent years. Recent evidence suggests that, in many seizures, changes in the preictal signal begin minutes before the ictal begins, ...

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• On Complex Systems and Structure of Emergence in Games- A Survey 

  Rashidi, Hassan؛ Pour Mohammad Bagher, Latifeh (Qazvin Islamic Azad University, 2023-06-01)

  Many different complex systems display emergent behavior, and quite a few of these systems have been studied in the past. The science of complexity, popularly known as chaos theory, deals with emergent systems in other ...

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• Optimization and Improvement of Spam Email Detection using Deep Learning Approaches 

  Nooraee, Mohsen؛ Ghaffari, Hamid Reza (Qazvin Islamic Azad University, 2022-11-01)

  Today, one of the widely used fields in artificial intelligence is text mining methods, which due to the expansion of virtual space and the increase in the use of media and social messengers, and on the other hand, the ...

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• Providing a recommendation system for recommending articles to users using data mining methods 

  Molaee fard, Reza؛ Yarahmadi, Payam (Qazvin Islamic Azad University, 2022-11-01)

  Due to the growing number of articles and books available on the web, it seems necessary to have a system that can extract users' articles and books from the vast amount of information that is increasing day by day. One ...

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• A Technical Review on Unsupervised Learning of Graph and Hypergraph Pattern Analysis 

  Safari, Aref (Qazvin Islamic Azad University, 2022-11-01)

  Graph and hypergraph matching are fundamental problems in pattern analysis problems. They are applied to various tasks requiring 2D and 3D feature matching, such as image alignment, 3D reconstruction, and object or action ...

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• RGB-D SLAM Technique for an Indoor UAV Robot using Levenberg-Marquardt Optimization Approach 

  Dinarvand, Navid؛ Norouzi, Mohammad؛ Dosaranian Moghadam, Mohammad (Qazvin Islamic Azad University, 2022-11-01)

  Simultaneous localization and mapping (SLAM) technique is a practical approach for unmanned aerial vehicles (UAVs) to position themselves in unknown zones. In a structured arena with sufficient landmarks and enough lighting, ...

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• RCMS: Requirements Conflict Management and Overlapping Control Strategy in CSOP+RP using Pearson Correlation Coefficient 

  Afraz, Soheil؛ Rashidi, Hassan؛ Mikaeilvand, Nasser (Qazvin Islamic Azad University, 2022-11-01)

  Requirement engineering is one of the critical phases in the software development process. Functional Requirements (FR) and Non-Functional Requirements(NFR) are two of the fundamental requirements in software projects that ...

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• Types of Communication in Vehicular Ad-Hoc Networks: Various Techniques and Current Challenges in this Field 

  Afshari, Sanaz؛ Akbari Torkestani, Javad؛ Fartash, Mehdi (Qazvin Islamic Azad University, 2022-07-01)

  With the development of technology and the growing number of vehicles, vehicular ad-hoc networks were introduced in order to reduce road accidents and increase the level of safety and comfort of passengers. In these networks, ...

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• Black Widow Optimization (BWO) Algorithm in Cloud Brokering Systems for Connected Internet of Things 

  Jelodari, Nasim؛ AsgharPourhaji Kazem, Ali (Qazvin Islamic Azad University, 2022-07-01)

  The Internet of Things (IoT) now connects over nine billion devices. This number is predicted to approach 20 billion in the near future, and the number of things is rapidly expanding, implying that a large amount of data ...

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• Taxonomy of Threats and Attacks in IoT 

  Shamsadini, Maryam؛ Ghaffari, Ali (Qazvin Islamic Azad University, 2022-07-01)

  The Internet of everything that is often known as The Internet of Things (IoT), is the next generation internet network that is created by intelligent objects with software and sensors, where machines can communicate with ...

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• A Method for Multi-text Summarization Based on Multi-Objective Optimization use Imperialist Competitive Algorithm 

  Shahabi, Amir Shahab؛ Kangavari, Mohammad Reza؛ Rahmani, Amir Masoud (Qazvin Islamic Azad University, 2022-07-01)

  In this research, we discuss the methods that have been proposed so far to solve automatic summarization, in which both single-text and multi-text are summarized with emphasis on experimental methods and text extraction ...

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• Optimal State Feedback Control for Bicycle Stabilization using APT-FPSO Algorithm 

  Azim Araghi, Mana؛ Mir Mohammad Sadeghi, Seyed Mohammad Nami؛ Mir Mohammad Sadeghi, Seyed Ali (Qazvin Islamic Azad University, 2022-07-01)

  Advanced control systems are required to maintain bicycle stability due to its unstable open-loop behaviour. This work is aimed at designing an optimal state feedback control system for bicycle stabilization. The performance ...

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• Non-deterministic Optimal Pricing of VMs in Cloud Environments: An IGDT-based Method 

  Naghdehforoushha, Mona؛ Dehghan Takht Fooladi, Mehdi؛ Rezvani, Mohammad Hossein؛ Gilanian Sadeghi, Mohammad Mehdi (Qazvin Islamic Azad University, 2023-01-01)

  Today, cloud markets, especially Amazon, have attracted a lot of attention from users due to the provision of Spot Virtual Machines (SVMs). It has several advantages for both sides of the market. On the one hand, Amazon ...

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• A review of Feature Selection Method Based on Optimization Algorithms 

  Sadeghian, Zohre؛ Akbari, Ebrahim؛ Nematzadeh, Hossein؛ Motameni, Homayun (Qazvin Islamic Azad University, 2023-01-01)

  Feature selection is the process of identifying relevant features and removing irrelevant and repetitive features with the aim of observing a subset of features that describe the problem well and with minimal loss of ...

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