Volume 3 (2025)
Volume 2 (2024)
Volume 1 (2023)
Main Subjects = Artificial Intelligence, Robotics, Cognitive Computing
Number of Articles: 43
Malfustection: Obfuscated Malware Detection and Malware Classification with Data Shortage by Combining Semi-Supervised and Contrastive Learning
Volume 3, Issue 1 , June 2025, , Pages 1-21
Abstract
With the advent of new technologies, using various formats of digital gadgets is becoming widespread. In today's world, where everyday tasks are inevitable without technology, this ... Read More
Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains
Volume 3, Issue 1 , June 2025, , Pages 22-35
Abstract
Population imaging studies rely on good-quality medical imagery before quantifying downstream images. This study provides an automated approach for image quality assessment (IQA) from ... Read More
Automated Recognition of Marine Thermal Patterns Using Deep Learning
Volume 3, Issue 1 , June 2025, , Pages 36-42
Abstract
Abstract— Sea Surface Temperature (SST) data reveal the temporal and spatial distribution of warm anticyclonic eddies and cold cyclonic eddies, impacting ocean behavior. The SST ... Read More
Unlocking individual motor signatures using feature-based clustering of a graphomotor task
Volume 3, Issue 1 , June 2025, , Pages 43-47
Abstract
Abstract—Understanding individual motor signatures (IMS) is essential for personalized treatment and performance optimization. This study investigates the effectiveness of Fuzzy ... Read More
Deep Learning Frailty Model for Heart Failure Survival Prediction
Volume 3, Issue 1 , June 2025, , Pages 48-52
Abstract
Abstract—The study employed Deep Learning Frailty (DLF), a compelling neural modeling framework for predicting heart failure patient survival. The DLF embeds a notion of multiplicative ... Read More
A Novel Fixed-Parameter Activation Function for Neural Networks: Enhanced Accuracy and Convergence on MNIST
Volume 3, Issue 1 , June 2025, , Pages 53-58
Abstract
Abstract— Activation functions are essential for extracting meaningful relationships from real-world data in deep learning models. The design of activation functions is critical, ... Read More
Persian Intelligent Assistant in Healthcare Domain
Volume 3, Issue 1 , June 2025, , Pages 59-64
Abstract
Abstract—Nowadays, advances in technology and medical science have led to significant changes in the field of healthcare. Consequently, an effort has been taken to develop an ... Read More
Improving Predicted Answer Accuracy in Visual Question and Answer Systems using Attention Mechanisms and Neural Networks
Volume 3, Issue 1 , June 2025, , Pages 65-76
Abstract
In recent years, one of the most widely studied areas in computer vision and natural language processing (NLP) is the interdisciplinary problem of Visual Question Answering (VQA), which ... Read More
Comparative Study of Criminal Responsibility of AI in the Legal Framework of Iran and Saudi Arabia
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 87-93
Abstract
I. Abstract— This paper examines the legal frameworks governing the criminal liability of artificial intelligence (AI) in Iran and Saudi Arabia, focusing on how both countries ... Read More
LDA-ML: A Hybrid DDoS Detection Attacks in SDN Environment using Machine Learning
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 79-86
Abstract
Abstract—In today's world, DDoS attacks are becoming more common and complex; thus, they constitute a great challenge for network security under the auspices of SDN. The research ... Read More
A Hybrid Approach for Intrusion Detection in Computer Systems Using Optimized Deep Neural Networks
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 70-78
Abstract
Abstract— The issue of intrusion in security presents a fundamental challenge that can lead to serious damage in IT systems. Intrusion Detection Systems (IDS) serve as effective ... Read More
Exploring AI Techniques in the Identification and Control of Marine Vehicles
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 64-69
Abstract
Abstract—The rapid advancement of artificial intelligence (AI) offers new avenues for enhancing the identification, control, and autonomous operation of marine vehicles. This ... Read More
MQL-NPC: A Modified Q-Learning-based Approach to Design Intelligent Non-Player Character in a Survival Game
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 56-63
Abstract
Abstract—This paper presents an intelligent non-player char- acter(NPC) for a survival game with a modified Q-learning-based scheme. Due to the dynamics of the computer game environment, ... Read More
Creating a Foundation for Dynamic Difficulty Adjustment within PCG of games using Imitation Learning
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 49-55
Abstract
Abstract— This research proposes a novel approach to create a foundation for dynamic difficulty adjustment (DDA) within computer games that use procedural content generation (PCG), ... Read More
Brain Age Classification from fMRI Data Using Graph Neural Networks and Evolutionary Algorithm
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 42-48
Abstract
Abstract— The brain is a complex organ that undergoes changes with age, and predicting brain age is crucial for monitoring brain health. It provides valuable insights into brain ... Read More
Advances in Deep Learning for Eye Disease Diagnosis: Applications, Challenges, and Future Directions
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 33-41
Abstract
Abstract— Deep learning has emerged as a transformative technology in ophthalmology, addressing critical challenges in the diagnosis and management of eye diseases such as diabetic ... Read More
Efficient DL Models for Voice Pathology Detection in Healthcare Applications using Sustained Vowels
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 26-32
Abstract
Abstract— Voice Pathology Detection (VPD) aims to identify voice impairments through the analysis of speech signals, providing a foundation for developing diagnostic tools in ... Read More
Inferring organizational duties from Persian administrative and employment laws using Large Language Models (LLMs) and few-shot learning
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 16-25
Abstract
Abstract—Extracting organizational duties from legal documents is a critical yet challenging task, particularly in low-resource languages like Persian. This paper presents an ... Read More
Predicting Damage States of RC Columns Using Machine Learning Algortithms
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 8-15
Abstract
Abstract— Performance-based design of bridges requires prediction of different damage states of components. (RC) piers are key components in bridge system, which may experience ... Read More
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
Volume 2, Special Issue on AI 4 All- 2 , January 2025, , Pages 1-7
Abstract
Abstract—Traditional Long Short-Term Memory (LSTM) networks are effective for handling sequential data but have limitations such as gradient vanishing and difficulty in capturing ... Read More
A Master-Slave Approach for Simultaneously Controlling Two Drones when Carrying an Object
Volume 2, Special Issue on AI 4 All - 1 , June 2024, , Pages 76-82
Abstract
Abstract - - Abstract - - Abstract - This paper proposes a master-slave approach to simultaneously control two drones with the aim of carrying an object toward a goal. The proposed ... Read More
Title Generation for the Qur'anic chapters by summarizing them
Volume 2, Special Issue on AI 4 All - 1 , June 2024, , Pages 70-75
Abstract
Abstract— With the increase in textual data generated on the internet and the limited time individuals have for reading, the need for automatic text summarization is more essential ... Read More
Split and rephrase: Simple Syntactic Sentences for NLP applications
Volume 2, Special Issue on AI 4 All - 1 , June 2024, , Pages 63-69
Abstract
Abstract—In today's world, simplifying compound and complex sentences into simple sentences is crucial for enhancing machine understanding in various natural language processing ... Read More
Enhancing Telecom Recommendation Systems through Customer Profiling and Graph Neural Networks (GNN) on Graph Data
Volume 2, Special Issue on AI 4 All - 1 , June 2024, , Pages 56-62
Abstract
Abstract— Telecommunications companies rely on recommendation systems to deliver personalized services and enhance customer satisfaction. Traditional methods, such as Collaborative ... Read More
Aβ42/40 ratio prediction using MRI images features for Alzheimer’s Early Detection
Volume 2, Special Issue on AI 4 All - 1 , June 2024, , Pages 51-55