Artificial Intelligence
Paying Attention to the Features Extracted from the Image to Person Re-identification

S. H. Zahiri; R. Iranpoor; N. Mehrshad

Volume 13, Issue 2 , July 2025, , Pages 267-274

https://doi.org/10.22061/jecei.2024.10968.752

Abstract
  Background and Objectives: Person re-identification is an important application in computer vision, enabling the recognition of individuals across non-overlapping camera views. However, the large number of pedestrians with varying appearances, poses, and environmental conditions makes this task particularly ...  Read More

Artificial Intelligence
An Effective Heart Disease Prediction Model Using Deep Learning-based Dimensionality Reduction on Imbalanced Data

S. Kabiri Rad; V. Afshin; S. H. Zahiri

Volume 13, Issue 2 , July 2025, , Pages 317-330

https://doi.org/10.22061/jecei.2024.10847.742

Abstract
  Background and Objectives: When dealing with high-volume and high-dimensional datasets, the distribution of samples becomes sparse, and issues such as feature redundancy or irrelevance arise. Dimensionality reduction techniques aim to incorporate correlation between features and map the original features ...  Read More

Data Preprocessing
Fusion of Classifiers Using Learning Automata Algorithm

S. Mahmoudikhah; S. H. Zahiri; I. Behravan

Volume 13, Issue 1 , January 2025, , Pages 65-80

https://doi.org/10.22061/jecei.2024.10950.750

Abstract
  Background and Objectives: Sonar data processing is used to identify and track targets whose echoes are unsteady. So that they aren’t trusty identified in typical tracking methods. Recently, RLA have effectively cured the accuracy of undersea objective detection compared to conventional sonar objective ...  Read More

Artificial Intelligence
An Intelligent Two and Three Dimensional Path Planning, Based on a Metaheuristic Method

B. Mahdipour; S. H. Zahiri; I. Behravan

Volume 13, Issue 1 , January 2025, , Pages 93-116

https://doi.org/10.22061/jecei.2024.10941.751

Abstract
  Background and Objectives: Path planning is one of the most important topics related to the navigation of all kinds of moving vehicles such as airplanes, surface and subsurface vessels, cars, etc. Undoubtedly, in the process of making these tools more intelligent, detecting and crossing obstacles without ...  Read More

Computer Vision
Image Recreating in improving the Performance of Architectures for Person Re-identification

R. Iranpoor; S. H. Zahiri

Volume 12, Issue 2 , July 2024, , Pages 401-408

https://doi.org/10.22061/jecei.2024.10446.706

Abstract
  Background and Objectives: Re-identifying individuals due to its capability to match a person across non-overlapping cameras is a significant application in computer vision. However, it presents a challenging task because of the large number of pedestrians with various poses and appearances appearing ...  Read More

Artificial Intelligence
Clustering of Triangular Fuzzy Data based on Heuristic Methods

N. Ghanbari; S. H. Zahiri; H. Shahraki

Volume 12, Issue 1 , January 2024, , Pages 1-14

https://doi.org/10.22061/jecei.2023.9641.645

Abstract
  Background and Objectives: In this paper, a new version of the particle swarm optimization (PSO) algorithm using a linear ranking function is proposed for clustering uncertain data. In the proposed Uncertain Particle Swarm Clustering method, called UPSC method, triangular fuzzy numbers (TFNs) are used ...  Read More

Power Electronics
Application of Grey Wolf Optimization Algorithm with Aggregation Function on Designing Interleaved Boost Converter

S.H. Zahiri; S. M. Naji Esfahani; M. Delshad

Volume 12, Issue 1 , January 2024, , Pages 39-56

https://doi.org/10.22061/jecei.2023.9355.610

Abstract
  Background and Objectives: The interleaved approach has a long history of use in power electronics, particularly for high-power systems. The voltage and current stress in these applications exceed the tolerance limit of a power element. The present paper introduces an improved version of an interleaved ...  Read More

Analogue Integrated Circuits
Design of a High-Speed and Low Power CMOS Comparator for A/D Converters

F. Shakibaee; A. Bijari; S.H. Zahiri

Volume 9, Issue 2 , July 2021, , Pages 153-160

https://doi.org/10.22061/jecei.2021.7602.409

Abstract
  Background and Objectives: Comparators play a critical role in the analog to digital converters (ADCs) and digital to analog converters (DACs). So, different structures have been proposed to improve their performance. Power, delay, offset, and noise are the important factors that have significantly affect ...  Read More

Design of a Microstrip Dual-Band Bandpass Filter Using Novel Loaded Asymmetric Two Coupled Lines for WLAN Applications

R. Salmani; A. Bijari; S. H. Zahiri

Volume 8, Issue 2 , July 2020, , Pages 255-262

https://doi.org/10.22061/jecei.2020.7250.376

Abstract
  Background and Objectives: Due to the rapid development in wireless communications, bandpass filters have become key components in modern communication systems. Among the microwave filter technologies, planar structures of microstrip line are chosen, due to low profile, weight, ease of fabrication, and ...  Read More

Computational Intelligence
A Framework for High-Level Synthesis of VLSI Circuits Using a Modified Moth-Flame Optimization Algorithm

M.R. Esmaeili; S.H. Zahiri; S.M. Razavi

Volume 7, Issue 1 , January 2019, , Pages 95-111

https://doi.org/10.22061/jecei.2020.5992.272

Abstract
  Background and Objectives: High-level synthesis (HLS) is one of the substantial steps in designing VLSI digital circuits. The primary purpose of HLS is to minimize the digital units used in the system to improve their power, delay, and area.Methods: In the modified MFO algorithm presented in this paper, ...  Read More

Computational Intelligence
Low-Area/Low-Power CMOS Op-Amps Design Based on Total Optimality Index Using Reinforcement Learning Approach

N. Sayyadi Shahraki; S.H. Zahiri

Volume 6, Issue 2 , July 2018, , Pages 199-214

https://doi.org/10.22061/jecei.2019.5212.203

Abstract
  Background and Objectives: Today, the use of methods derived from Reinforcement learning-based approaches, due to their powerful in learning and extracting optimal/desirable solutions to various problems, shows a significant wideness and success. This paper presents the application of reinforcement learning ...  Read More

Data Mining
Clustering a Big Mobility Dataset Using an Automatic Swarm Intelligence-Based Clustering Method

I. Behravan; S.H. Zahiri; S.M. Razavi; R. Trasarti

Volume 6, Issue 2 , July 2018, , Pages 251-271

https://doi.org/10.22061/jecei.2019.5243.206

Abstract
  Background and Objectives: Big data referred to huge datasets with high number of objects and high number of dimensions. Mining and extracting big datasets is beyond the capability of conventional data mining algorithms including clustering algorithms, classification algorithms, feature selection methods ...  Read More