Journal of Innovations in Computer Science and Engineering (JICSE)

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Volume 1 (2023)

Journal of Innovations in Computer Science and Engineering (JICSE) is an international research journal sponsored by the Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran . It is published Semiannual in English in both print and online versions. JICSE provides a high-quality international platform for academic researchers, industry professionals and other constituent communities in the broad field of Computer Science and Engineering to impart and share the latest research results and knowledge in the form of research articles and reviews. 

Domains to be covered include, but are not limited to:

  • Artificial Intelligence, Robotics, Cognitive Computing
  • Cloud and Distributed Computing
  • Computer Architecture and Network
  • Security and Privacy
  • Software and Information Systems

Having an ORCID identifier is mandatory for all authors. You can register at https://orcid.org/register.

Original Article
Intermediate Fine-Tuning for Robust Persian Emotion Detection in Text
Intermediate Fine-Tuning for Robust Persian Emotion Detection in Text

Seyed Morteza Mahdavi Mortazavi; Mehrnoush ShamsFard

Volume 2, Special Issues 2 , January 2025, Pages 1-6

https://doi.org/10.48308/jicse.2025.239714.1065

Abstract
  Emotion recognition in text is a growing area in Natural Language Processing ( NLP ), essential for improving human-computer interactions by allowing systems to interpret emotional ...  Read More
Original Article
Improvement in intent detection and slot filling by model enhancement and different data augmentation strategies
Improvement in intent detection and slot filling by model enhancement and different data augmentation strategies

محمد مهدی حاجی رمضانعلی; Hasan Deldar; Mohammad Mehdi Homayounpour

Volume 2, Special Issues 2 , January 2025, Pages 7-15

https://doi.org/10.48308/jicse.2025.239716.1066

Abstract
  Abstract— Intent detection and slot filling are crucial for understanding human language and are essential for creating intelligent virtual assistants, chatbots, and other interactive ...  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
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
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
Exploring Identity Theft: Motives, Techniques, and Consequents on Different Age Groups
Exploring Identity Theft: Motives, Techniques, and Consequents on Different Age Groups
Volume 1, Issue 1 , June 2023, , Pages 62-73

https://doi.org/10.48308/jicse.2023.231077.1017

Abstract
  While the growth of technology has greatly benefited humanity, it also brings along several drawbacks that can undermine these benefits. Despite its ability to detect attacks and deter ...  Read More
Efficient NTT Multiplier of NTRU Prime PQC Algorithm
Efficient NTT Multiplier of NTRU Prime PQC Algorithm
Volume 1, Issue 1 , June 2023, , Pages 82-88

https://doi.org/10.48308/jicse.2023.103638

Abstract
  As quantum computers become increasingly powerful, the threat of attacking classical algorithms will become more significant. Hence, post-quantum cryptography algorithms are effective ...  Read More
Early Parkinson's Disease Diagnosis Based on Sequence Analysis
Early Parkinson's Disease Diagnosis Based on Sequence Analysis
Volume 1, Issue 1 , June 2023, , Pages 1-10

https://doi.org/10.48308/jicse.2023.103523

Abstract
  In this paper, a neural approach based on Long Short-Term Memory (LSTM) neural networks is proposed to diagnose patients suffering from Parkinson’s Disease (PD). Considering the ...  Read More
Continuous User Authentication Using a Combination of Operation and Application-related Features
Continuous User Authentication Using a Combination of Operation and Application-related Features
Volume 1, Issue 1 , June 2023, , Pages 10-21

https://doi.org/10.48308/jicse.2023.103524

Abstract
  Protection of computer systems is a challenge facing the users, who usually define passwords, fingerprints, face detection patterns, and other identification solutions in order to secure ...  Read More
Heterogeneity Characterization of Recursive Line Networks
Heterogeneity Characterization of Recursive Line Networks
Volume 1, Issue 1 , June 2023, , Pages 52-61

https://doi.org/10.48308/jicse.2023.103723

Abstract
  Over the past few years, the study of complex networks as an interdisciplinary subject has yielded numerous insights. Communication links within these networks have been found to play ...  Read More
Original Article
Attention-Based Noise Reduction for Surface-Electromyography: A Novel Method for Enhanced Signal Quality in Clinical Diagnostics
Attention-Based Noise Reduction for Surface-Electromyography: A Novel Method for Enhanced Signal Quality in Clinical Diagnostics

سید علی زنده باد; Abdollah PourMottaghi; Marzieh Allami Sanjani

Articles in Press, Accepted Manuscript, Available Online from 21 April 2025

https://doi.org/10.48308/jicse.2025.239509.1053

Abstract
  Abstract— Surface electromyography (sEMG) signals are an important tool for monitoring and measuring muscle activity, rehabilitation, Human-Computer Interaction (HCI) systems, and ...  Read More
Original Article
Enhanced Early Diagnosis of Parkinson’s Disease via Transformer-Based Deep Learning and GAN-Augmented Handwriting Analysis
Enhanced Early Diagnosis of Parkinson’s Disease via Transformer-Based Deep Learning and GAN-Augmented Handwriting Analysis

سید علی زنده باد; Fatemeh Darkhal; Zahra Sedaghat

Articles in Press, Accepted Manuscript, Available Online from 21 April 2025

https://doi.org/10.48308/jicse.2025.239594.1063

Abstract
  Abstract—Abstract—Early diagnosis of Parkinson's disease (PD) is an important challenge in medicine. Hand tremors and writing disorders, which are early motor symptoms of Parkinson's, ...  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

Articles in Press, Accepted Manuscript, Available Online from 05 May 2025

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 function ...  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

Articles in Press, Accepted Manuscript, Available Online from 05 May 2025

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
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

Articles in Press, Accepted Manuscript, Available Online from 05 May 2025

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

Milad Baghban

Articles in Press, Accepted Manuscript, Available Online from 05 May 2025

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 study ...  Read More
Journal of Innovations in Computer Science and Engineering (JICSE)

Publisher:
Shahid Beheshti University

Director-in-Charge:
Mehrnoush Shamsfard

Editor-in-Chief:
Mohsen Ebrahimi Moghadam

Executive Manager:
Ali Jahanian

Frequency: Semiannual

Online ISSN: 2981-2135

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