Journal of Electrical and Computer Engineering Innovations (JECEI) is an open access semiannual publication  as a non-commercial publication affiliated with Shahid Rajaee Teacher Training University. The JECEI Journal has been indexed in the well-known world databases mainly; National Center for Biotechnology Information (NCBI), WorldCat, Google Scholar, irectory of Open Access Journals (DOAJ), Publons, Genamics, Islamic World Science Citation Center (ISC) as Primary Journal of Quartile (Q1) with CI = 0.396, and Scientific Information Database (SID). JECEI has also gained a Scientific rank "A" from the Ministry of Science, Research and Technology. JECEI Journal is a member of the Committee on Publication Ethics (COPE) and follows the uniform requirements for submitted manuscripts issued by the COPE Code of Conduct for Editors. All submitted manuscripts are checked for similarity through a trustworthy software to be assured about their originality and then rigorously peer-reviewed by international reviewers.

                  

Original Research Paper Artificial Intelligence
Using GPT-2 Model and Hazm Library for Persian Text Generation

M. Soluki; Z. Askarinejadamiri; N. Zanjani

Volume 12, Issue 2 , July 2024, Pages 295-304

https://doi.org/10.22061/jecei.2023.10101.690

Abstract
  Background and Objectives: This article explores a method for generating Persian texts using the GPT-2 language model and the Hazm library. Researchers and writers often require tools that can assist them in the writing process and even think on their behalf in various domains. By leveraging the GPT-2 ...  Read More

Original Research Paper Social Networks
A Node-Centric Approach for Community Detection in Dynamic Networks

M. Sabzekar; S. Baradaran Nejad; M. Khazaeipoor

Volume 12, Issue 2 , July 2024, Pages 305-318

https://doi.org/10.22061/jecei.2024.10202.687

Abstract
  Background and Objectives: Nowadays, social networks are recognized as significant sources of information exchange. Consequently, many organizations have chosen social networks as essential tools for marketing and brand management. Communities are essential structures that can enhance the performance ...  Read More

Original Research Paper Computational Intelligence
WHOFWA: An effective hybrid metaheuristic algorithm based on wild horse optimizer and fireworks algorithm

A. Rouhi; E. Pira

Volume 12, Issue 2 , July 2024, Pages 319-342

https://doi.org/10.22061/jecei.2024.10422.699

Abstract
  Background and Objectives: This paper explores the realm of optimization by synergistically integrating two unique metaheuristic algorithms: the Wild Horse Optimizer (WHO) and the Fireworks Algorithm (FWA). WHO, inspired by the behaviors of wild horses, demonstrates proficiency in global exploration, ...  Read More

Original Research Paper Electronics
Betavoltaic Battery using Platinum/Porous ZnO Schottky Junction

A. Ebadiyan; A. Shokri; M. Amirmazlaghani; N. Darestani Farahani

Volume 12, Issue 2 , July 2024, Pages 343-352

https://doi.org/10.22061/jecei.2024.10337.694

Abstract
  Background and Objectives: Semiconductor junction-based radioisotope detectors are commonly used in radioisotope batteries due to their small size and excellent performance. This study aims to design a betavoltaic battery based on a metal-porous semiconductor Schottky structure, comprising an N-type ...  Read More

Original Research Paper Power Electronics
A New Hybrid Predictive-PWM Control for Flying Capacitor Multilevel Inverter

P. Hamedani; M. Changizian

Volume 12, Issue 2 , July 2024, Pages 353-362

https://doi.org/10.22061/jecei.2024.10549.721

Abstract
  Background and Objectives: Model predictive control (MPC) is a practical and attractive control methodology for the control of power electronic converters and electrical motor drives. MPC has a simple structure and enables the simultaneous consideration of different objectives and constraints. However, ...  Read More

Original Research Paper Machine Learning
Integration of Clinical, Genetic, and Molecular Features in Predicting Castration Resistance Events in Prostate Cancer: A Comprehensive Machine Learning Analysis

A. Mohamadi; M. Habibi; F. Parandin

Volume 12, Issue 2 , July 2024, Pages 363-372

https://doi.org/10.22061/jecei.2024.10406.697

Abstract
  Background and Objectives: Metastatic castration-sensitive prostate cancer (mCSPC) represents a critical juncture in the management of prostate cancer, where the accurate prediction of the onset of castration resistance is paramount for guiding treatment decisions.Methods: In this study, we underscore ...  Read More

Original Research Paper Bioinformatics
CinfuMax: An Influence Maximization-based Model for Detecting Cancer Driver Genes in Gene Regulatory Networks

M. Akhavan-Safar; B. Teimourpour; M. Ayyoubi

Volume 12, Issue 2 , July 2024, Pages 373-386

https://doi.org/10.22061/jecei.2024.10026.673

Abstract
  Background and Objectives: One of the important topics in oncology treatment and prevention is the identification of genes that initiate cancer in cells. These genes are known as cancer driver genes (CDGs). Identification of the CDGs is important both for a basic understanding of cancer and to help find ...  Read More

Original Research Paper Artificial Intelligence
Response Surface Methodology for Behavior Analysis and Performance Improvement of Gravitational Search Algorithm

M. Amoozegar; S. Golestani

Volume 12, Issue 2 , July 2024, Pages 387-400

https://doi.org/10.22061/jecei.2024.10385.698

Abstract
  Background and Objectives: In recent years, various metaheuristic algorithms have become increasingly popular due to their effectiveness in solving complex optimization problems across diverse domains. These algorithms are now being utilized for an ever-expanding number of real-world applications across ...  Read More

Original Research Paper 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

Original Research Paper Artificial Intelligence
An Effective Ensemble of Deep and Machine Learning Methods for Classifying the Expertise Shape of CQA Users

S. Nemati

Volume 12, Issue 2 , July 2024, Pages 409-424

https://doi.org/10.22061/jecei.2024.10621.724

Abstract
  Background and Objectives: Community question-answering (CQA) websites have become increasingly popular as platforms for individuals to seek and share knowledge. Identifying users with a special shape of expertise on CQA websites is a beneficial task for both companies and individuals. Specifically, ...  Read More

Original Research Paper Object Recognition
Facial Expression Recognition through Optimal Filter Design Using a Metaheuristic Kidney Algorithm

E. Ghasemi Bideskan; S.M. Razavi; S. Mohamadzadeh; M. Taghippour

Volume 12, Issue 2 , July 2024, Pages 425-438

https://doi.org/10.22061/jecei.2024.10512.717

Abstract
  Background and Objectives: The recognition of facial expressions using metaheuristic algorithms is a research topic in the field of computer vision. This article presents an approach to identify facial expressions using an optimized filter developed by metaheuristic algorithms. Methods: The entire process ...  Read More

Original Research Paper Power Electronics
Modeling and Simulation of DC Electric Railway System with Regenerative Braking: A Case Study of Isfahan Metro Line 1

P. Hamedani; S. S. Fazel; M. Shahbazi

Volume 12, Issue 2 , July 2024, Pages 439-448

https://doi.org/10.22061/jecei.2024.10665.728

Abstract
  Background and Objectives: Modeling and simulation of electric railway networks is an important issue due to their non-linear and variant nature. This problem becomes more serious with the enormous growth in public transportation tracks and the number of moving trains. Therefore, the main aim of this ...  Read More

Review paper Communications Networks
A Survey Study on Intrusion Detection System in Wireless Sensor Network: Challenges and Considerations

M. Hosseini Shirvani; A. Akbarifar

Volume 12, Issue 2 , July 2024, Pages 449-474

https://doi.org/10.22061/jecei.2024.10148.683

Abstract
  Background and Objectives: Wireless sensor networks (WSNs) are ad-hoc technologies that have various applications in different industries such as in healthcare systems, environment and military surveillance, manufacturing, and IoT context in general. Expanding the scope of sensor network applications ...  Read More

Original Research Paper Electronics
Enhancing High-Performance Computing: A Comprehensive Study on Dual-Doped Source/Drain Reconfigurable Field Effect Transistor

Z. Ahangari

Volume 12, Issue 2 , July 2024, Pages 475-484

https://doi.org/10.22061/jecei.2024.10757.732

Abstract
  Background and Objectives: In this study, a reconfigurable field-effect transistor has been developed utilizing a multi-doped source-drain region, enabling operation in both n-mode and p-mode through a simple adjustment of electrode bias. In contrast to traditional reconfigurable transistors that rely ...  Read More

Original Research Paper Machine Learning
Short-term Prediction of Bitcoin Price based on Generative Adversarial Network

M. Moosakhani; A. Jahangard-Rafsanjani; S. Zarifzadeh

Volume 12, Issue 2 , July 2024, Pages 485-496

https://doi.org/10.22061/jecei.2024.10760.734

Abstract
  Background and Objectives: Investment has become a paramount concern for various individuals, particularly investors, in today's financial landscape. Cryptocurrencies, encompassing various types, hold a unique position among investors, with Bitcoin being the most prominent. Additionally, Bitcoin serves ...  Read More

Original Research Paper Image Annotation and Retrieval
Hybrid Convolutional Neural Network with Domain adaptation for Sketch based Image Retrieval

A. Gheitasi; H. Farsi; S. Mohamadzadeh

Volume 12, Issue 2 , July 2024, Pages 497-510

https://doi.org/10.22061/jecei.2024.10778.735

Abstract
  Background and Objectives: Freehand sketching is an easy-to-use but effective instrument for computer-human connection. Sketches are highly abstract to the domain gap, that exists between the intended sketch and real image. In addition to appearance information, it is believed that shape information ...  Read More

Original Research Paper Control of Biological Systems
A Robust Control Centrality Applicable to Genetic Regulatory Networks with Structured Uncertainties

Z. Ghassemi Zahan; S. Ozgoli; S. Bolouki

Volume 12, Issue 2 , July 2024, Pages 511-524

https://doi.org/10.22061/jecei.2024.10506.714

Abstract
  Background and Objectives: In genetic network control, RC-Centrality is introduced as a new control centrality measure to address the control of linear time-invariant networks. The objective of this study is to propose an optimal control centrality metric that quantifies the centrality of individual ...  Read More

Original Research Paper Computer Vision
Automatic Cadastral Boundary Detection of Very High Resolution Images Using Mask R-CNN

N. Rahimpour; A. Azadbakht; M. Tahmasbi; H. Farahani; S.R. Kheradpishe; A. Javaheri

Volume 12, Issue 2 , July 2024, Pages 525-534

https://doi.org/10.22061/jecei.2024.10650.727

Abstract
  Background and Objectives: Cadastral boundary detection deals with locating the boundary of the ownership and use of land. Recently, there has been high demand for accelerating and improving the automatic detection of cadastral mapping. As this problem is in its starting point, there are few researches ...  Read More

Original Research Paper Meta-heuristic Algorithms
Society Deciling Process: A Socio-inspired Meta-heuristic Algorithm

E. Pira; Alireza Rouhi

Volume 12, Issue 2 , July 2024, Pages 535-556

https://doi.org/10.22061/jecei.2024.10831.740

Abstract
  Background and Objectives: The development of effective meta-heuristic algorithms is crucial for solving complex optimization problems. This paper introduces the Society Deciling Process (SDP), a novel socio-inspired meta-heuristic algorithm that simulates the social categorization into deciles based ...  Read More

Original Research Paper Power
A Probabilistic Framework for Active Distribution Network Optimal Energy Management Considering Correlated Uncertain Variables

S. Abbasi; D. Nazarpour; S. Golshannavaz

Volume 12, Issue 2 , July 2024, Pages 557-567

https://doi.org/10.22061/jecei.2024.10837.741

Abstract
  Background and Objectives: Distributed generations (DGs) based on renewable energy, such as PV units, are becoming more prevalent in distribution networks due to technical and environmental benefits. However, the intermittency and uncertainty of these sources lead to technical and operational challenges. ...  Read More

A 12 bit 76MS/s SAR ADC with a Capacitor Merged Technique in 0.18µm CMOS Technology
Volume 5, Issue 2 , July 2017, , Pages 121-130

https://doi.org/10.22061/jecei.2017.693

Abstract
  A new high-resolution and high-speed fully differential Successive Approximation Register (SAR) Analog to Digital Converter (ADC) based on Capacitor Merged Technique is presented in this paper. The main purposes of the proposed idea are to achieve high-resolution and high-speed SAR ADC simultaneously ...  Read More

THD Analysis in Closed-Loop Analog PWM Class-D Amplifiers
Volume 2, Issue 1 , January 2014, , Pages 1-5

https://doi.org/10.22061/jecei.2014.36

Abstract
  In this paper, we investigate the parameters affecting Total Harmonic Distortion (THD) and Power Supply Rejection Ratio (PSRR) in PWM Class D Amplifiers (CDAs) on the basis of linear models with feedback. From our mathematical analysis, we show that the THD of a PWM Class D amplifier with feedback can ...  Read More

Design and fabrication of Coaxial Plasma Waveguide Filter with the ability to reconfigure the Frequency band
Volume 11, Issue 1 , January 2023, , Pages 75-84

https://doi.org/10.22061/jecei.2022.8668.542

Abstract
  Background and Objectives: This study aims to present a new structure based on coaxial waveguide, which can change the bandwidth, return losses, and input impedance by changing the plasma parameters of the coaxial waveguide. This structure consists of a metal body and a gas tube inside it, which uses ...  Read More

Alleviating the Small-Signal Oscillations of the SMIB Power System with the TLBO–FPSS and SSSC Robust Controller
Volume 5, Issue 2 , July 2017, , Pages 163-170

https://doi.org/10.22061/jecei.2017.789

Abstract
  Power systems are subjected to small–signal oscillations that can be caused by sudden change in the value of large loads. To avoid the dangers of these oscillations, the Power System Stabilizers (PSSs) are used. When the PSSs can not be effective enough, installation of the Thyristor–based ...  Read More

A Transformer Self-attention Model for Time Series Forecasting
Volume 9, Issue 1 , January 2021, , Pages 1-10

https://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

Original Research Paper
Design and Stability Analysis of a Novel Path Planner for Autonomous Underwater Vehicles

Z. K. Pourtaheri

Articles in Press, Accepted Manuscript, Available Online from 18 August 2024

https://doi.org/10.22061/jecei.2024.10624.725

Abstract
  Background and Objectives: According to this fact that a typical autonomous underwater vehicle consumes energy for rotating, smoothing the path in the process of path planning will be especially important. Moreover, given the inherent randomness of heuristic algorithms, stability analysis of heuristic ...  Read More

Original Research Paper
Robust Fuzzy Control of Uncertain Two-axis Inertially Stabilized Platforms Using a Disturbance Observer: A Backstepping-based Adaptive Control Approach

M. Ghalehnoie; A. Azhdari; J. Keighobadi

Articles in Press, Accepted Manuscript, Available Online from 18 August 2024

https://doi.org/10.22061/jecei.2024.10886.746

Abstract
  Background and Objectives: The two-axis inertially stabilized platforms (ISPs) face various challenges such as system nonlinearity, parameter fluctuations, and disturbances which makes the design process more complex. To address these challenges effectively, the main objective of this paper is to realize ...  Read More

Original Research Paper
Persian Slang Text Conversion to Formal and Deep Learning of Persian Short Texts on Social Media for Sentiment Classification

M. Khazeni; M. Heydari; A. Albadvi

Articles in Press, Accepted Manuscript, Available Online from 18 August 2024

https://doi.org/10.22061/jecei.2024.10745.731

Abstract
  Background and Objectives: The lack of a suitable tool for the analysis of conversational texts in Persian language has made various analyzes of these texts, including Sentiment Analysis, difficult. In this research, it has we tried to make the understanding of these texts easier for the machine by providing ...  Read More

Original Research Paper
A Fast and Accurate Yield Optimization Method for Designing Operational Amplifier Using Multi-Objective Evolutionary Algorithm Based on Decomposition

A. Yaseri; M. H. Maghami; M. Radmehr

Articles in Press, Accepted Manuscript, Available Online from 01 September 2024

https://doi.org/10.22061/jecei.2024.10814.737

Abstract
  Background and Objectives: In recent years, the electronics industry has experienced rapid expansion, leading to increased concerns surrounding the expenses associated with designing and sizing integrated circuits. The reliability of these circuits has emerged as a critical factor influencing the success ...  Read More

Original Research Paper
Noise Folding Compensation in Compressed Sensing based Matched-Filter Receiver

M. Kalantari

Articles in Press, Accepted Manuscript, Available Online from 07 September 2024

https://doi.org/10.22061/jecei.2024.10933.749

Abstract
  Background and Objectives: Compressed sensing (CS) of analog signals in shift-invariant spaces can be used to reduce the complexity of the matched-filter (MF) receiver, in which we can be approached the standard MF performance with fewer filters. But, with a small number of filters the performance degrades ...  Read More

Original Research Paper
Fusion of Classifiers Using Learning Automata Algorithm

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

Articles in Press, Accepted Manuscript, Available Online from 01 September 2024

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

Original Research Paper
Fuzzification of Items of Media and Educational Materials and Tools

S. S. Musavian; A. Taghizade; F. Z. Ahmadi; S. Norouzi

Articles in Press, Accepted Manuscript, Available Online from 01 September 2024

https://doi.org/10.22061/jecei.2024.11019.757

Abstract
  Background and Objectives: The purpose of this study is to propose a solution for using large fuzzy sets in assessment tasks with a significant number of items, focusing on the assessment of media and educational tools. Ensuring fairness is crucial in evaluation tasks, especially when different evaluators ...  Read More

Original Research Paper
An Intelligent Two and Three Dimensional Path Planning, Based on a Metaheuristic Method

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

Articles in Press, Accepted Manuscript, Available Online from 01 September 2024

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

Original Research Paper
Multistep Model Predictive Control of Diode-Clamped Multilevel Inverter

P. Hamedani

Articles in Press, Accepted Manuscript, Available Online from 07 September 2024

https://doi.org/10.22061/jecei.2024.10914.747

Abstract
  Background and Objectives: To overcome the disadvantages of the traditional two-level inverters, especially in electric drive applications, multi-level inverters (MLIs) are the widely accepted solution. Diode-Clamped Inverters (DCIs) are a well-known structure of multi-level inverters. In DCIs, the voltage ...  Read More

Original Research Paper
Electric Vehicle Battery Charging Using a Non-Isolated Bidirectional DC-DC Converter Connected to T-Type Three Level Converter

F. Sedaghati; S. A. Azimi

Articles in Press, Accepted Manuscript, Available Online from 21 October 2024

https://doi.org/10.22061/jecei.2024.10870.743

Abstract
  Background and Objectives: {R1-1} Increasing environmental problems have led to the spread of Electric Vehicles (EVs). One of the attractive research fields of electric vehicles is the charging battery of this strategic product. Electric vehicle battery chargers often lack bidirectional power flow and ...  Read More

Original Research Paper
Paying Attention to the Features Extracted from the Image to Person Re-identification

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

Articles in Press, Accepted Manuscript, Available Online from 21 October 2024

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

Original Research Paper
Utilizing Normalized Mutual Information as a Similarity Measure for EEG and fMRI Fusion

Z. Rabiei; H. Montazery Kordy

Articles in Press, Accepted Manuscript, Available Online from 21 October 2024

https://doi.org/10.22061/jecei.2024.10984.754

Abstract
  Background and Objectives: Neuroscience research can benefit greatly from the fusion of simultaneous recordings of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) data due to their complementary properties. We can extract shared information by coupling two modalities in a ...  Read More

Original Research Paper
An Effective Heart Disease Prediction Model Using Deep Learning-based Dimensionality Reduction on Imbalanced Data

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

Articles in Press, Accepted Manuscript, Available Online from 21 October 2024

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

Original Research Paper
Segmentation of Skin Lesions in Dermoscopic Images Using a Combination of Wavelet Transform and Modified U-Net Architecture

S. Fooladi; H. Farsi; S. Mohamadzadeh

Articles in Press, Accepted Manuscript, Available Online from 04 November 2024

https://doi.org/10.22061/jecei.2024.10807.736

Abstract
  Background and Objectives: The increasing prevalence of skin cancer highlights the urgency for early intervention, emphasizing the need for advanced diagnostic tools. Computer-assisted diagnosis (CAD) offers a promising avenue to streamline skin cancer screening and alleviate associated costs.Methods: ...  Read More

Original Research Paper
New Distance Protection Framework in Sub-Transmission Systems through an Innovative User-defined Approach

A. Yazdaninejadi; M. Akhavan

Articles in Press, Accepted Manuscript, Available Online from 04 November 2024

https://doi.org/10.22061/jecei.2024.11189.773

Abstract
  Background and Objectives: Protection of sub-transmission systems requires maintaining selectivity in the combinatorial scheme of distance and direction overcurrent relays (DOCRs). This presents a complex challenge that renders the need for a robust solution. Thereby, the objective of the present study ...  Read More

Original Research Paper
A Machine Learning based Predictive Smart Healthcare System

F. Ahmed Shaban; S. Golshannavaz

Articles in Press, Accepted Manuscript, Available Online from 04 November 2024

https://doi.org/10.22061/jecei.2024.11092.765

Abstract
  Background and Objectives: In smart grid paradigm, there exist many versatile applications to be fostered such as smart home, smart buildings, smart hospitals, and so on. Smart hospitals, wherein patients are the possible consumers, are one of the recent interests within this paradigm. The Internet of ...  Read More

Original Research Paper
Structure Learning for Deep Neural Networks with Competitive Synaptic Pruning

A. Ahmadi; R. Mahboobi Esfanjani

Articles in Press, Accepted Manuscript, Available Online from 04 November 2024

https://doi.org/10.22061/jecei.2024.11017.758

Abstract
  Background and Objectives: A predefined structure is usually employed for deep neural networks, which results in over- or underfitting, heavy processing load, and storage overhead. Training along with pruning can decrease redundancy in deep neural networks; however, it may lead to a decrease in accuracy.Methods: ...  Read More

Original Research Paper
Torque Ripple Reduction by using Virtual Vectors in Direct Torque Control Method using Neutral-Point-Clamped Inverter

H. Afsharirad; S. Misaghi

Articles in Press, Accepted Manuscript, Available Online from 19 November 2024

https://doi.org/10.22061/jecei.2024.10894.745

Abstract
  Background and Objectives: Due to the high torque ripple and stator current harmonics in direct torque control using a two-level inverter, the use of multi-level inverters has become common to reduce these two factors. Among the multilevel inverters, the Neutral-point-Clamped Inverter has been given ...  Read More

Original Research Paper
A Fast and Accurate Tree-based Approach for Anomaly Detection in Streaming Data

K. Moeenfar; V. Kiani; A. Soltani; R. Ravanifard

Articles in Press, Accepted Manuscript, Available Online from 19 November 2024

https://doi.org/10.22061/jecei.2024.11110.767

Abstract
  Background and Objectives: In this paper, a novel and efficient unsupervised machine learning algorithm named EiForestASD is proposed for distinguishing anomalies from normal data in data streams. The proposed algorithm leverages a forest of isolation trees to detect anomaly data instances. Methods: ...  Read More

Original Research Paper
A Robust Concurrent Multi-Agent Deep Reinforcement Learning ‎based Stock Recommender System

S. Khonsha; M. A. Sarram; R. Sheikhpour

Articles in Press, Accepted Manuscript, Available Online from 19 November 2024

https://doi.org/10.22061/jecei.2024.11193.775

Abstract
  Background and Objectives: Stock recommender system (SRS) based on deep ‎reinforcement learning (DRL) has garnered significant attention within the ‎financial research community. A robust DRL agent aims to consistently ‎allocate some amount of cash to the combination of high-risk and low-risk ...  Read More

Original Research Paper
Cross-correlation based Approach for Counting Nodes of Undersea Communications Network Considering Limited Bandwidth

M. Z. Rahman; J. E. Giti; S. A.H. Chowdhury; M. S Anower

Articles in Press, Accepted Manuscript, Available Online from 19 November 2024

https://doi.org/10.22061/jecei.2024.11252.783

Abstract
  Background and Objectives: Node counting is undoubtedly an essential task since it is one of the important parameters to maintain proper functionality of any wireless communications network including undersea acoustic sensor networks (UASNs). In undersea communications networks, protocol-based node counting ...  Read More

Original Research Paper
Modified Topologies for Single Source Switched-Capacitor Multilevel Inverters

F. Sedaghati; S. Ebrahimzadeh; H. Dolati

Articles in Press, Accepted Manuscript, Available Online from 19 November 2024

https://doi.org/10.22061/jecei.2024.11234.780

Abstract
  Background and Objectives: Increasing environmental problems and challenges have led to increased use of renewable energy sources such as photovoltaic or PV system. One of the attractive research fields is power electronic converters as interfaces for renewable energy sources. Multilevel inverters can ...  Read More

Keywords Cloud