Original Article
Comparative Study of Criminal Responsibility of AI in the Legal Framework of Iran and Saudi Arabia
Comparative Study of Criminal Responsibility of AI in the Legal Framework of Iran and Saudi Arabia

Zahra Meghdadi; Mahdi Pourcheriki

Volume 2, Special Issues 2 , January 2025, Pages 87-93

https://doi.org/10.48308/jicse.2025.239843.1076

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
Original Article
LDA-ML: A Hybrid DDoS Detection Attacks in SDN Environment using Machine Learning
LDA-ML: A Hybrid DDoS Detection Attacks in SDN Environment using Machine Learning

alireza rezaei; amineh Amini

Volume 2, Special Issues 2 , January 2025, Pages 79-86

https://doi.org/10.48308/jicse.2025.239842.1075

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
Original Article
A Hybrid Approach for Intrusion Detection in Computer Systems Using Optimized Deep Neural Networks
A Hybrid Approach for Intrusion Detection in Computer Systems Using Optimized Deep Neural Networks

Maral Kolahkaj

Volume 2, Special Issues 2 , January 2025, Pages 70-78

https://doi.org/10.48308/jicse.2025.239785.1074

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
Original Article
Exploring AI Techniques in the Identification and Control of Marine Vehicles
Exploring AI Techniques in the Identification and Control of Marine Vehicles

Milad Baghban

Volume 2, Special Issues 2 , January 2025, Pages 64-69

https://doi.org/10.48308/jicse.2025.239784.1073

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
Original Article
MQL-NPC: A Modified Q-Learning-based Approach to Design Intelligent Non-Player Character in a Survival Game
MQL-NPC: A Modified Q-Learning-based Approach to Design Intelligent Non-Player Character in a Survival Game

Dr. Athena Abdi; Morteza Nalbandi

Volume 2, Special Issues 2 , January 2025, Pages 56-63

https://doi.org/10.48308/jicse.2025.239783.1072

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
Original Article
Creating a Foundation for Dynamic Difficulty Adjustment within PCG of games using Imitation Learning
Creating a Foundation for Dynamic Difficulty Adjustment within PCG of games using Imitation Learning

Navid Siamakmanesh; Aryan Ganji; Monireh Abdoos; Mojtaba Vahidi-Asl

Volume 2, Special Issues 2 , January 2025, Pages 49-55

https://doi.org/10.48308/jicse.2025.239782.1071

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
Original Article
Brain Age Classification from fMRI Data Using Graph Neural Networks and Evolutionary Algorithm
Brain Age Classification from fMRI Data Using Graph Neural Networks and Evolutionary Algorithm

nastaran hasanzadeh; Mohammad Saniee Abadeh

Volume 2, Special Issues 2 , January 2025, Pages 42-48

https://doi.org/10.48308/jicse.2025.239720.1070

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
Original Article
Advances in Deep Learning for Eye Disease Diagnosis: Applications, Challenges, and Future Directions
Advances in Deep Learning for Eye Disease Diagnosis: Applications, Challenges, and Future Directions

محمد شجاعی نیا; Hamid Moghaddasi

Volume 2, Special Issues 2 , January 2025, Pages 33-41

https://doi.org/10.48308/jicse.2025.239719.1069

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
Original Article
Efficient DL Models for Voice Pathology Detection in Healthcare Applications using Sustained Vowels
Efficient DL Models for Voice Pathology Detection in Healthcare Applications using Sustained Vowels

Sahar Farazi; yaser shekofteh

Volume 2, Special Issues 2 , January 2025, Pages 26-32

https://doi.org/10.48308/jicse.2025.239718.1068

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
Original Article
Inferring organizational duties from Persian administrative and employment laws using Large Language Models (LLMs) and few-shot learning
Inferring organizational duties from Persian administrative and employment laws using Large Language Models (LLMs) and few-shot learning

Hojjat Hajizadeh Nowkhandan; Mohsen Kahani

Volume 2, Special Issues 2 , January 2025, Pages 16-25

https://doi.org/10.48308/jicse.2025.239717.1067

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
Original Article
Predicting Damage States of RC Columns Using Machine Learning Algortithms
Predicting Damage States of RC Columns Using Machine Learning Algortithms

Shima Mahboubi; Amirali Abdolmaleki

Volume 2, Special Issues 2 , January 2025, Pages 8-15

https://doi.org/10.48308/jicse.2025.239845.1078

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
Original Article
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks
A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks

Armin Salimi-Badr; Faezeh Sarlakifar; Mohammadreza Mohammadzadeh Asl; Sajjad Rezvani Khaledi

Volume 2, Special Issues 2 , January 2025, Pages 1-7

https://doi.org/10.48308/jicse.2025.239844.1077

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