Original Article
A Deep Learning Framework for Evaluating Dynamic Network Generative Models and Anomaly Detection
A Deep Learning Framework for Evaluating Dynamic Network Generative Models and Anomaly Detection

Sadegh Aliakbari; Alireza Rashnu

Volume 1, Issue 2 , January 2024, Pages 171-186

https://doi.org/10.48308/jicse.2025.237844.1044

Abstract
  Understanding dynamic systems like disease outbreaks, social influence, and information diffusion requires effective modeling of complex networks. Traditional evaluation methods for ...  Read More
Original Article
Improving Social Image Recommendations through Emotion Analysis
Improving Social Image Recommendations through Emotion Analysis

Somaieh AhmadKhani; Mohsen Ebrahimi Moghaddam

Volume 1, Issue 2 , January 2024, Pages 162-170

https://doi.org/10.48308/jicse.2025.237528.1042

Abstract
  With the rapid expansion of the Internet and social networks, the volume of images available online has increased dramatically, making it challenging for users to find relevant content. ...  Read More
Original Article
Beyond Six Degrees of Separation: Exploring Milgram's Condition in Complex Networks
Beyond Six Degrees of Separation: Exploring Milgram's Condition in Complex Networks

Farshad Safaei; Mohammad Reza Sadeghi; Mohammad Mahdi Emadi Kouchak

Volume 1, Issue 2 , January 2024, Pages 137-161

https://doi.org/10.48308/jicse.2025.237258.1038

Abstract
  The concept of six degrees of separation stands as a significant phenomenon, positing that any two independent entities worldwide can connect through a chain of no more than six acquaintances. ...  Read More
Original Article
Adaptive Weighted Knowledge Distillation for 3D Object Detection in Self-Driving Cars Using Point Cloud
Adaptive Weighted Knowledge Distillation for 3D Object Detection in Self-Driving Cars Using Point Cloud

Samira Tajik; Armin Salimi-Badr

Volume 1, Issue 2 , January 2024, Pages 118-136

https://doi.org/10.48308/jicse.2025.237839.1043

Abstract
  3D object detection for self-driving cars has emerged as a critical challenge, largely due to the constraints of computing resources and the requirement for real-time processing. For ...  Read More
Original Article
Graph-Theoretic Analysis of de Bruijn Graphs: Fault Resilience and Fragility
Graph-Theoretic Analysis of de Bruijn Graphs: Fault Resilience and Fragility

Farshad Safaei; Mohammad Mahdi Emadi Khouchak; Mehrnaz Moudi

Volume 1, Issue 2 , January 2024, Pages 89-117

https://doi.org/10.48308/jicse.2025.237255.1037

Abstract
  The de Bruijn graph, initially proposed as a topological architecture for interconnection networks, offers unique attributes. These graphs are regular, Eulerian, and Hamiltonian, boasting ...  Read More
Original Article
FARW: A Feature-Aware Random Walk for node classification
FARW: A Feature-Aware Random Walk for node classification

Sajad Bastami; Alireza Abdollahpouri; Rojiar Pir mohammadiani

Volume 1, Issue 2 , January 2024, Pages 76-88

https://doi.org/10.48308/jicse.2025.237378.1039

Abstract
  Graph-structured data, common in real-world applications, captures entities (nodes) and their relationships (edges). While traditional methods integrate node content and neighborhood ...  Read More
Original Article
A Framework for Evaluating Word Boundary Detection in Persian Tokenizers
A Framework for Evaluating Word Boundary Detection in Persian Tokenizers

Mostafa Karimi Manesh; Mehrnoush Shamsfard

Volume 1, Issue 2 , January 2024, Pages 62-75

https://doi.org/10.48308/jicse.2024.237062.1036

Abstract
  Tokenization is a critical stage in text preprocessing and presents numerous challenges in languages like Persian, where there is no deterministic word boundary. These challenges include ...  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 , January 2024, 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
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 , January 2024, 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
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 , January 2024, 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
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 , January 2024, 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