Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
H.3. Artificial Intelligence
Enhancing Aspect-based Sentiment Analysis with ParsBERT in Persian Language

Farid Ariai; Maryam Tayefeh Mahmoudi; Ali Moeini

Volume 12, Issue 1 , January 2024, , Pages 1-14


  In the era of pervasive internet use and the dominance of social networks, researchers face significant challenges in Persian text mining, including the scarcity of adequate datasets in Persian and the inefficiency of existing language models. This paper specifically tackles these challenges, aiming ...  Read More

H.3. Artificial Intelligence
X-SHAoLIM: Novel Feature Selection Framework for Credit Card Fraud Detection

Sajjad Alizadeh Fard; Hossein Rahmani

Volume 12, Issue 1 , January 2024, , Pages 57-66


  Fraud in financial data is a significant concern for both businesses and individuals. Credit card transactions involve numerous features, some of which may lack relevance for classifiers and could lead to overfitting. A pivotal step in the fraud detection process is feature selection, which profoundly ...  Read More

H.3. Artificial Intelligence
Application of Stacked Ensemble Techniques in Head and Neck Squamous Cell Carcinoma Prognostic Feature Subsets

Damianus Kofi Owusu; Christiana Cynthia Nyarko; Joseph Acquah; Joel Yarney

Volume 12, Issue 1 , January 2024, , Pages 67-81


  Head and neck cancer (HNC) recurrence is ever increasing among Ghanaian men and women. Because not all machine learning classifiers are equally created, even if multiple of them suite very well for a given task, it may be very difficult to find one which performs optimally given different distributions. ...  Read More

H.3. Artificial Intelligence
A Multi-View Model for Knowledge Graph Embedding in Link Prediction using GRU-RNN as Constraint Satisfaction Problem

Afrooz Moradbeiky; Farzin Yaghmaee

Volume 12, Issue 1 , January 2024, , Pages 137-147


  Knowledge graphs are widely used tools in the field of reasoning, where reasoning is facilitated through link prediction within the knowledge graph. However, traditional methods have limitations, such as high complexity or an inability to effectively capture the structural features of the graph. The ...  Read More

H.3. Artificial Intelligence
A New Hybrid Method to Detect Risk of Gastric Cancer using Machine Learning Techniques

Ali Zahmatkesh Zakariaee; Hossein Sadr; Mohamad Reza Yamaghani

Volume 11, Issue 4 , November 2023, , Pages 505-515


  Machine learning (ML) is a popular tool in healthcare while it can help to analyze large amounts of patient data, such as medical records, predict diseases, and identify early signs of cancer. Gastric cancer starts in the cells lining the stomach and is known as the 5th most common cancer worldwide. ...  Read More

H.3. Artificial Intelligence
Autoencoder-PCA-based Online Supervised Feature Extraction-Selection Approach

Amir Mehrabinezhad; Mohammad Teshnelab; Arash Sharifi

Volume 11, Issue 4 , November 2023, , Pages 525-534


  Due to the growing number of data-driven approaches, especially in artificial intelligence and machine learning, extracting appropriate information from the gathered data with the best performance is a remarkable challenge. The other important aspect of this issue is storage costs. The principal component ...  Read More

H.3. Artificial Intelligence
Identification of Influential Nodes in Social Networks based on Profile Analysis

Zeinab Poshtiban; Elham Ghanbari; Mohammadreza Jahangir

Volume 11, Issue 4 , November 2023, , Pages 535-545


  Analyzing the influence of people and nodes in social networks has attracted a lot of attention. Social networks gain meaning, despite the groups, associations, and people interested in a specific issue or topic, and people demonstrate their theoretical and practical tendencies in such places. Influential ...  Read More

H.3. Artificial Intelligence
LSTM Modeling and Optimization of Rice (Oryza sativa L.) Seedling Growth using Intelligent Chamber

Hamid Ghaffari; Hemmatollah Pirdashti; Mohammad Reza Kangavari; Sjoerd Boersma

Volume 11, Issue 4 , November 2023, , Pages 561-571


  An intelligent growth chamber was designed in 2021 to model and optimize rice seedlings' growth. According to this, an experiment was implemented at Sari University of Agricultural Sciences and Natural Resources, Iran, in March, April, and May 2021. The model inputs included radiation, temperature, carbon ...  Read More

H.3. Artificial Intelligence
Fast COVID-19 Infection Prediction with In-House Data Using Machine Learning Classification Algorithms: A Case Study of Iran

Ali Rebwar Shabrandi; Ali Rajabzadeh Ghatari; Nader Tavakoli; Mohammad Dehghan Nayeri; Sahar Mirzaei

Volume 11, Issue 4 , November 2023, , Pages 573-585


  To mitigate COVID-19’s overwhelming burden, a rapid and efficient early screening scheme for COVID-19 in the first-line is required. Much research has utilized laboratory tests, CT scans, and X-ray data, which are obstacles to agile and real-time screening. In this study, we propose a user-friendly ...  Read More

H.3. Artificial Intelligence
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian Texts

Mahdi Rasouli; Vahid Kiani

Volume 11, Issue 4 , November 2023, , Pages 587-598


  The identification of emotions in short texts of low-resource languages poses a significant challenge, requiring specialized frameworks and computational intelligence techniques. This paper presents a comprehensive exploration of shallow and deep learning methods for emotion detection in short Persian ...  Read More

H.3. Artificial Intelligence
Applying Twin-Hybrid Feature Selection Scheme on Transient Multi-Trajectory Data for Transient Stability Prediction

Seyed Alireza Bashiri Mosavi; Omid Khalaf Beigi

Volume 11, Issue 4 , November 2023, , Pages 627-638


  A speedy and accurate transient stability assessment (TSA) is gained by employing efficient machine learning- and statistics-based (MLST) algorithms on transient nonlinear time series space. In the MLST’s world, the feature selection process by forming compacted optimal transient feature space ...  Read More

H.3. Artificial Intelligence
Application of Machine Learning Algorithms in Improving Nano-based Solar Cell Technology

Saheb Ghanbari Motlagh; Fateme Razi Astaraei; Mojtaba Hajihosseini; Saeed Madani

Volume 11, Issue 3 , July 2023, , Pages 357-374


  This study explores the potential use of Machine Learning (ML) techniques to enhance three types of nano-based solar cells. Perovskites of methylammonium-free formamidinium (FA) and mixed cation-based cells exhibit a boosted efficiency when employing ML techniques. Moreover, ML methods are utilized to ...  Read More

H.3. Artificial Intelligence
Designing a Serious Game for Children with Autism using Reinforcement Learning and Fuzzy Logic

Amirhossein Khabbaz; Mansoor Fateh; Ali Pouyan; Mohsen Rezvani

Volume 11, Issue 3 , July 2023, , Pages 375-390


  Autism spectrum disorder (ASD) is a collection of inconstant characteristics. Anomalies in reciprocal social communications and disabilities in perceiving communication patterns characterize These features. Also, exclusive repeated interests and actions identify ASD. Computer games have affirmative effects ...  Read More

H.3. Artificial Intelligence
Mehr: A Persian Coreference Resolution Corpus

Hassan Haji Mohammadi; Alireza Talebpour; Ahamd Mahmoudi Aznaveh; Samaneh Yazdani

Volume 11, Issue 3 , July 2023, , Pages 407-416


  Coreference resolution is one of the essential tasks of natural languageprocessing. This task identifies all in-text expressions that refer to thesame entity in the real world. Coreference resolution is used in otherfields of natural language processing, such as information extraction,machine translation, ...  Read More

H.3. Artificial Intelligence
Segmentation of Breast Cancer using Convolutional Neural Network and U-Net Architecture

Saiful Bukhori; Muhammad Almas Bariiqy; Windi Eka Y. R; Januar Adi Putra

Volume 11, Issue 3 , July 2023, , Pages 477-485


  Breast cancer is a disease of abnormal cell proliferation in the breast tissue organs. One method for diagnosing and screening breast cancer is mammography. However, the results of this mammography image have limitations because it has low contrast and high noise and contrast as non-coherence. This research ...  Read More

H.3. Artificial Intelligence
Link Prediction in Social Networks: A Bibliometric Analysis and Review of Literature (1987-2021)

Akram Pasandideh; Mohsen Jahanshahi

Volume 11, Issue 3 , July 2023, , Pages 487-504


  Link prediction (LP) has become a hot topic in the data mining, machine learning, and deep learning community. This study aims to implement bibliometric analysis to find the current status of the LP studies and investigate it from different perspectives. The present study provides a Scopus-based bibliometric ...  Read More

H.3. Artificial Intelligence
Game Theory Solutions in Sensor-Based Human Activity Recognition: A Review

Mohammad Hossein Shayesteh; Behrooz Shahrokhzadeh; Behrooz Masoumi

Volume 11, Issue 2 , April 2023, , Pages 259-289


  This paper provides a comprehensive review of the potential of game theory as a solution for sensor-based human activity recognition (HAR) challenges. Game theory is a mathematical framework that models interactions between multiple entities in various fields, including economics, political science, ...  Read More

H.3. Artificial Intelligence
A Reinforcement Learning-based Encoder-Decoder Framework for Learning Stock Trading Rules

M. Taghian; A. Asadi; R. Safabakhsh

Volume 11, Issue 1 , January 2023, , Pages 103-118


  The quality of the extracted features from a long-term sequence of raw prices of the instruments greatly affects the performance of the trading rules learned by machine learning models. Employing a neural encoder-decoder structure to extract informative features from complex input time-series has proved ...  Read More

H.3. Artificial Intelligence
Hand Gesture Recognition from RGB-D Data using 2D and 3D Convolutional Neural Networks: a comparative study

M. Kurmanji; F. Ghaderi

Volume 8, Issue 2 , April 2020, , Pages 177-188


  Despite considerable enhances in recognizing hand gestures from still images, there are still many challenges in the classification of hand gestures in videos. The latter comes with more challenges, including higher computational complexity and arduous task of representing temporal features. Hand movement ...  Read More

H.3. Artificial Intelligence
Controller Placement in Software Defined Network using Iterated Local Search

A. Moradi; A. Abdi Seyedkolaei; Seyed A. Hosseini

Volume 8, Issue 1 , January 2020, , Pages 55-65


  Software defined network is a new computer network architecture who separates controller and data layer in network devices such as switches and routers. By the emerge of software defined networks, a class of location problems, called controller placement problem, has attracted much more research attention. ...  Read More

H.3. Artificial Intelligence
QoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering

S. Adeli; P. Moradi

Volume 8, Issue 1 , January 2020, , Pages 83-93


  Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users ...  Read More

H.3. Artificial Intelligence
Using an Evaluator Fixed Structure Learning Automata in Sampling of Social Networks

S. Roohollahi; A. Khatibi Bardsiri; F. Keynia

Volume 8, Issue 1 , January 2020, , Pages 127-148


  Social networks are streaming, diverse and include a wide range of edges so that continuously evolves over time and formed by the activities among users (such as tweets, emails, etc.), where each activity among its users, adds an edge to the network graph. Despite their popularities, the dynamicity and ...  Read More

H.3. Artificial Intelligence
Forecasting Gold Price using Data Mining Techniques by Considering New Factors

A.R. Hatamlou; M. Deljavan

Volume 7, Issue 3 , July 2019, , Pages 411-420


  Gold price forecast is of great importance. Many models were presented by researchers to forecast gold price. It seems that although different models could forecast gold price under different conditions, the new factors affecting gold price forecast have a significant importance and effect on the increase ...  Read More

H.3. Artificial Intelligence
MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection

Z. Karimi Zandian; M. R. Keyvanpour

Volume 7, Issue 2 , April 2019, , Pages 213-224


  Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods ...  Read More

H.3. Artificial Intelligence
A New Knowledge-Based System for Diagnosis of Breast Cancer by a combination of the Affinity Propagation and Firefly Algorithms

N. Emami; A. Pakzad

Volume 7, Issue 1 , January 2019, , Pages 59-68


  Breast cancer has become a widespread disease around the world in young women. Expert systems, developed by data mining techniques, are valuable tools in diagnosis of breast cancer and can help physicians for decision making process. This paper presents a new hybrid data mining approach to classify two ...  Read More