Journal of Innovations in Computer Science and Engineering (JICSE)

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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
System-Level Modeling of Dynamic Applications with Scenario-Aware Dataflow Graphs
System-Level Modeling of Dynamic Applications with Scenario-Aware Dataflow Graphs

Seyed-Hosein Attarzadeh-Niaki; Mohammad Vazirpanah

Volume 1, Issue 2 , December 2023, Pages 1-13

https://doi.org/10.48308/jicse.2024.232987.1023

Abstract
  This paper presents a comprehensive modeling framework for managing the complexities inherent in modeling dynamic and intelligent embedded and cyber-physical systems (CPSs). Leveraging ...  Read More
Original Article
Dynamic Stock Trading with Gated-Convolutional-Attention Neural Network and Deep Reinforcement Learning
Dynamic Stock Trading with Gated-Convolutional-Attention Neural Network and Deep Reinforcement Learning

Mahdi Shahbazi Khojasteh; Mohammad Mahdi Setak; Armin Salimi-Badr

Volume 1, Issue 2 , December 2023, Pages 14-31

https://doi.org/10.48308/jicse.2024.233664.1026

Abstract
  The stock market plays an imperative role in the entire financial market. The intricate and multifaceted nature of the stock market poses a challenge for investors seeking to establish ...  Read More
Original Article
An Interpretable method for process remaining time prediction based on distance metric learning
An Interpretable method for process remaining time prediction based on distance metric learning

Zahra Hosseini Nezhad; Sadegh Aliakbary; Ramak Ghavamizadeh; Hamed Malek

Volume 1, Issue 2 , December 2023, Pages 32-40

https://doi.org/10.48308/jicse.2024.234242.1029

Abstract
  Process mining is a new research area that bridges the gap between data science and process science. Among the subfields of process mining, predictive process monitoring aims to predict ...  Read More
Original Article
Beyond Binary: Dependability Analysis of Gates using Reliability Polynomials of Minimal Hammock Networks
Beyond Binary: Dependability Analysis of Gates using Reliability Polynomials of Minimal Hammock Networks

Farshad Safaei; Mohammad Mehdi Emadi Kouchak; Mehrnaz Moudi

Volume 1, Issue 2 , December 2023, Pages 41-61

https://doi.org/10.48308/jicse.2024.234327.1030

Abstract
  Moore and Shannon introduced a probabilistic model in which network nodes are assumed to be completely reliable, and communication links or edges can fail with a given probability, ...  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 63-74

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
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
Efficient NTT Multiplier of NTRU Prime PQC Algorithm
Efficient NTT Multiplier of NTRU Prime PQC Algorithm
Volume 1, Issue 1 , June 2023, , Pages 83-89

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
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 11-22

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
Efficient Heuristic Algorithms for unweighted minimum vertex cover problem
Efficient Heuristic Algorithms for unweighted minimum vertex cover problem
Volume 1, Issue 1 , June 2023, , Pages 33-38

https://doi.org/10.48308/jicse.2023.103538

Abstract
  Covering all edges in a graph with a small set of vertices is one of the most fundamental graph problems which is called the minimum vertex cover problem. In the literature different ...  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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