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)
Applied Article 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

Original/Review Paper F.2.11. Applications
Low-order Robust Controller for DC-DC Quadratic Buck Converter: Design and Implementation

Ali Sedehi; Alireza Alfi; Mohammadreza Mirjafari

Volume 12, Issue 1 , January 2024, Pages 15-25


  This paper addresses a key challenge in designing a suitable controller for DC-DC converters to regulate the output voltage effectively within a limited time frame. In addition to non-minimum phase behavior of such type of converter, a significant issue, namely parametric uncertainty, can further complicate ...  Read More

Original/Review Paper H.5. Image Processing and Computer Vision
Automatic Brain Tumor Detection in Brain MRI Images using Deep Learning Methods

Farima Fakouri; Mohsen Nikpour; Abbas Soleymani Amiri

Volume 12, Issue 1 , January 2024, Pages 27-35


  Due to the increased mortality caused by brain tumors, accurate and fast diagnosis of brain tumors is necessary to implement the treatment of this disease. In this research, brain tumor classification performed using a network based on ResNet architecture in MRI images. MRI images that available in the ...  Read More

Technical Paper B.3. Communication/Networking and Information Technology
Intrusion Detection for IoT Network Security with Deep learning

Roya Morshedi; S. Mojtaba Matinkhah; Mohammad Taghi Sadeghi

Volume 12, Issue 1 , January 2024, Pages 37-55


  IoT devices has witnessed a substantial increase due to the growing demand for smart devices. Intrusion Detection Systems (IDS) are critical components for safeguarding IoT networks against cyber threats. This study presents an advanced approach to IoT network intrusion detection, leveraging deep learning ...  Read More

Applied Article 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

Original/Review Paper 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

Original/Review Paper H.3.2.2. Computer vision
Enhancing Emotion Classification via EEG Signal Frame Selection

Masoumeh Esmaeiili; Kourosh Kiani

Volume 12, Issue 1 , January 2024, Pages 83-93


  The classification of emotions using electroencephalography (EEG) signals is inherently challenging due to the intricate nature of brain activity. Overcoming inconsistencies in EEG signals and establishing a universally applicable sentiment analysis model are essential objectives. This study introduces ...  Read More

Original/Review Paper H.3.15.3. Evolutionary computing and genetic algorithms
A Hybrid Machine Learning Approach and Genetic Algorithm for Malware Detection

Mahdieh Maazalahi; Soodeh Hosseini

Volume 12, Issue 1 , January 2024, Pages 95-104


  Detecting and preventing malware infections in systems is become a critical necessity. This paper presents a hybrid method for malware detection, utilizing data mining algorithms such as simulated annealing (SA), support vector machine (SVM), genetic algorithm (GA), and K-means. The proposed method combines ...  Read More

Technical Paper H.5. Image Processing and Computer Vision
A Novel Method for Fish Spoilage Detection based on Fish Eye Images using Deep Convolutional Inception-ResNet-v2

Sekine Asadi Amiri; Mahda Nasrolahzadeh; Zeynab Mohammadpoory; AbdolAli Movahedinia; Amirhossein Zare

Volume 12, Issue 1 , January 2024, Pages 105-113


  Improving the quality of food industries and the safety and health of the people’s nutrition system is one of the important goals of governments. Fish is an excellent source of protein. Freshness is one of the most important quality criteria for fish that should be selected for consumption. It ...  Read More

Original/Review Paper H.3.7. Learning
Automatic Configuration of Federated Learning Client in Graph Classification using Genetic Algorithms

Mohammad Rezaei; Mohsen Rezvani; Morteza Zahedi

Volume 12, Issue 1 , January 2024, Pages 115-126


  With the increasing interconnectedness of communications and social networks, graph-based learning techniques offer valuable information extraction from data. Traditional centralized learning methods faced challenges, including data privacy violations and costly maintenance in a centralized environment. ...  Read More

Original/Review Paper H.5. Image Processing and Computer Vision
Iranian Vehicle Images Dataset for Object Detection Algorithm

Pouria Maleki; Abbas Ramazani; Hassan Khotanlou; Sina Ojaghi

Volume 12, Issue 1 , January 2024, Pages 127-136


  Providing a dataset with a suitable volume and high accuracy for training deep neural networks is considered to be one of the basic requirements in that a suitable dataset in terms of the number and quality of images and labeling accuracy can have a great impact on the output accuracy of the trained ...  Read More

Original/Review Paper 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