Volume 3 (2025)
Volume 2 (2024)
Special Issues 2
1st International Conference on Artificial Intelligence
Special Issues 1
1st International Conference on Artificial Intelligence
Volume 1 (2023)
Volume & Issue: Volume 2, Special Issues 2 - Serial Number 4, January 2025 (1st International Conference on Artificial Intelligence)
Number of Articles: 12
Comparative Study of Criminal Responsibility of AI in the Legal Framework of Iran and Saudi Arabia
Volume 2, Special Issues 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 Issues 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 Issues 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 Issues 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 Issues 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 Issues 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 Issues 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 Issues 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 Issues 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 Issues 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 Issues 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 Issues 2 , January 2025, Pages 1-7