Journal of Electrical and Electronic Engineering

Special Issue

Soft Computing Methods for Electrical and Electronics Engineering Applications

  • Submission Deadline: May 15, 2020
  • Status: Submission Closed
  • Lead Guest Editor: Dr. Rahul Kher
About This Special Issue
In this era of interdisciplinary research, it is intended to club the research opportunities underlying the areas of Electrical Engineering, Electronics & Communication Engineering and Soft Computing Techniques. All major research domains of Electrical and Electronics Engineering, nowadays, find meaningful applications of Soft Computing algorithms. The main aim and objective of proposing this special issue is to invite the research outcomes of soft computing algorithms applied on Electrical and Electronics engineering domain applications such as Control systems & Automation, Wireless Communication, Embedded systems, Microwave and Antenna, Signal Processing, Image Processing, VLSI, Internet of Things, Biomedical Instrumentation, Power Electronics & Drives, Renewable Energy, Smart Power Grids, Wind Power Generation, Power Supply Design for various Communication networks, Nanotechnology, Process Control, Smart Instrumentation, Home Automation, Smart Homes & cities, Data Communication, Data Security, Induction Motors Drives, Inverters & Converters, Network Optimization, Satellite Imaging, Medical Imaging, Mobile Robots, Multi-agent Robots, Power Control, Power Plant Scheduling, Bandwidth allocation & Channel Assignment in Cellular Radio networks, Fuzzy Logic (FL), Neural Networks (NN), Genetic Algorithms (GA), Evolutionary Computing (EC), Neuro Computing, GA-FL, GA-FL-NN, GA-NN, FL-NN, Fuzzy Logic for Home appliances and many more. Novel research ideas and research results on the above-mentioned areas may be submitted to for the special issue.
Aims and Scope:
  1. Soft Computing for Signal and Image Processing
  2. Soft Computing Techniques for Control systems
  3. Soft Computing Applications for VLSI & FPGA
  4. Soft Computing in Wireless Communication
  5. Process Control Using Soft Computing
  6. Soft Computing for Smart Homes and Cities
  7. Fuzzy Logic Applications
  8. Evolutionary Programming Applications
  9. Neural Networks Applications
  10. Genetic Algorithm Applications
Lead Guest Editor
  • Dr. Rahul Kher

    Department of Electronics & Communication Engineering, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, India

Guest Editors
  • Amitkumar Mistry

    ObjectVideo Labs, McLean, United States

  • Dr. Tanmay Pawar

    Department of Electronics Engineering, BVM Engineering College, Vallabh Vidyanagar, India

  • Dr. Jatin Patel

    Department of Electrical Engineering, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, India

Published Articles
  • A Comprehensive Survey on Use of Soft Computing and Optimization Techniques for Load Frequency Control

    Yogesh Prajapati , Vithal Kamat , Jatin Patel , Rahul Kher

    Issue: Volume 8, Issue 2, April 2020
    Pages: 64-70
    Received: Apr. 20, 2020
    Accepted: May 27, 2020
    Published: Jun. 20, 2020
    DOI: 10.11648/j.jeee.20200802.13
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    Abstract: Load frequency control (LFC) is one of the most profitable ancillary services of power system market presently. The main goal of LFC is to reduce zero steady-state error for frequency deviations. In the present review paper of LFC problem, worldwide history of various types of controllers, control strategy, smart techniques and methodologies which ... Show More
  • Soft Computing Techniques for Various Image Processing Applications: A Survey

    Rahul Kher , Heena Kher

    Issue: Volume 8, Issue 3, June 2020
    Pages: 71-80
    Received: Apr. 26, 2020
    Accepted: May 22, 2020
    Published: Jun. 20, 2020
    DOI: 10.11648/j.jeee.20200803.11
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    Abstract: Soft computing techniques have found numerous applications in various domains of image processing and computer vision. This paper represents a survey on various soft computing methods’- fuzzy logic, neural network, neuro-fuzzy systems, genetic algorithm, evolutionary computing, support vector machine etc. - applications in various image processing ... Show More
  • Embedded Software Optimization for Computation - Intensive Applications

    Amitkumar Mistry , Rahul Kher

    Issue: Volume 8, Issue 2, April 2020
    Pages: 42-46
    Received: Apr. 20, 2020
    Accepted: May 09, 2020
    Published: May 27, 2020
    DOI: 10.11648/j.jeee.20200802.11
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    Abstract: Optimization metrics for compiled code are not always measured in execution clock cycles on the target architecture. Modern cellular telephone or wireless devices, which may download executables over a wireless network connection or backhaul infrastructure, it is often advantageous for the compiler to reduce the size of the compiled code that must ... Show More