Artificial Intelligence
1. A New Routing Protocol in MANET using Cuckoo Optimization Algorithm

S. Tabatabaei; H. Nosrati Nahook

Volume 9, Issue 1 , Winter and Spring 2021, , Pages 75-82

http://dx.doi.org/10.22061/jecei.2020.7511.397

Abstract
  Background and Objectives: With the recent progressions in wireless communication technology, powerful and costless wireless receivers are used in a variety of mobile applications. Mobile networks are a self-arranged network, which is including of mobile nodes that communicate with each other without ...  Read More

Artificial Intelligence
2. A Transformer Self-attention Model for Time Series Forecasting

R. Mohammdi Farsani; E. Pazouki

Volume 9, Issue 1 , Winter and Spring 2021, , Pages 1-10

http://dx.doi.org/10.22061/jecei.2020.7426.391

Abstract
  Background and Objectives: Many real-world problems are time series forecasting (TSF) problem. Therefore, providing more accurate and flexible forecasting methods have always been a matter of interest to researchers. An important issue in forecasting the time series is the predicated time interval. Methods: ...  Read More

Artificial Intelligence
3. A New Clustering Algorithm for Attributive Graphs through Information Diffusion Approaches

S. Kianian; S. Farzi; H. Samak

Volume 8, Issue 2 , Summer and Autumn 2020, , Pages 273-284

http://dx.doi.org/10.22061/jecei.2020.7190.366

Abstract
  Background and Objectives: Simplicity and flexibility constitute the two basic features for graph models which has made them functional models for real life problems. The attributive graphs are too popular among researchers because of their efficiency and functionality. An attributive graph is a graph ...  Read More

Artificial Intelligence
4. Using Machine Learning Methods for Automatic Bug Assignment to Developers

M. Yousefi; R. Akbari; S. M. R. Moosavi

Volume 8, Issue 2 , Summer and Autumn 2020, , Pages 263-272

http://dx.doi.org/10.22061/jecei.2020.7212.370

Abstract
  Background and Objectives: It is generally accepted that the highest cost in software development is associated with the software maintenance phase. In corrective maintenance, the main task is correcting the bugs found by the users. These bugs are submitted by the users to a Bug Tracking System (BTS). ...  Read More

Artificial Intelligence
5. Link Prediction using Network Embedding based on Global Similarity

S. F. Mirmousavi; S. Kianian

Volume 8, Issue 1 , Winter and Spring 2020, , Pages 97-108

http://dx.doi.org/10.22061/jecei.2020.7135.359

Abstract
  Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are ...  Read More

Artificial Intelligence
6. Stock Price Prediction using Machine Learning and Swarm Intelligence

I. Behravan; S. M. Razavi

Volume 8, Issue 1 , Winter and Spring 2020, , Pages 31-40

http://dx.doi.org/10.22061/jecei.2020.6898.346

Abstract
  Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, ...  Read More

Artificial Intelligence
7. WOA-based Interval Type II Fuzzy Fractional-order Controller Design for a Two-Link Robot Arm

F. Jamshidi; M. Vaghefi

Volume 7, Issue 1 , Winter and Spring 2019, , Pages 69-82

http://dx.doi.org/10.22061/jecei.2019.5783.256

Abstract
  Background and Objectives: A robot arm is a multi-input multi-output and non-linear system that has many industrial applications. Parameter uncertainties and external disturbances attenuate the performance of this system and a controller design is hence necessary to overcome them. Methods: In ...  Read More

Artificial Intelligence
8. A New Model for Text Coherence Evaluation Using Statistical Characteristics

M. Abdolahi; M. Zahedi

Volume 6, Issue 1 , Winter and Spring 2018, , Pages 15-24

Abstract
  < p>Background and Objectives: Discourse coherence modeling evaluation becomes a critical but challenging task for all content analysis tasks in Natural Language Processing subfields, such as text summarization, question answering, text generation and machine translation. Existing methods like ...  Read More