The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
ICANNAEE 2022: 16. International Conference on Artificial Neural Networks and their Applications in Electrical Engineering
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Artificial Neural Networks and their Applications in Electrical Engineering.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Neural Networks and their Applications in Electrical Engineering
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Artificial Neural Networks and their Applications in Electrical Engineering are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
OpenAIRE,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
ICANNAEE 2022 has teamed up with the Special Journal Issue on
Artificial Neural Networks and their Applications in Electrical Engineering.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
A Study on the Power Control of Wind Energy Conversion System
Mehdi Nafar, Mohammad Reza Mansouri
-
Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
-
Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
-
Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
-
Intelligent System and Renewable Energy: A Farming Platform in Precision Agriculture
Ryan B. Escorial, Elmer A. Maravillas, Chris Jordan G. Aliac
-
Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
Hira Lal Gope, Hidekazu Fukai
-
Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
-
Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
-
Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
Zhifeng Kong
-
Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
Ismail Abubakar, Hamid Mehrabi, Reg Morton
-
Optimization of Agricultural Water Demand Using a Hybrid Model of Dynamic Programming and Neural Networks: A Case Study of Algeria
M. Boudjerda, B. Touaibia, M. K. Mihoubi
-
Controlling of Multi-Level Inverter under Shading Conditions Using Artificial Neural Network
Abed Sami Qawasme, Sameer Khader
-
Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
Mustafa Sahin, İlkay Yavrucuk
-
Churn Prediction for Telecommunication Industry Using Artificial Neural Networks
Ulas Vural, M. Ergun Okay, E. Mesut Yildiz
-
Optical Signal-To-Noise Ratio Monitoring Based on Delay Tap Sampling Using Artificial Neural Network
Feng Wang, Shencheng Ni, Shuying Han, Shanhong You
Neural network applications in electrical engineering
Artificial neural network in electrical based power industry
Neural networks in control engineering
Fixed stabilizing controllers
Signal classification with perceptron
Limitations of neural networks
Neural network design
Neural network signal processing
Fuzzy logic in electrical engineering
Neuron model and network architectures
Linear transformations for neural networks
Optimal linear associative memories
Principal-components analysis
Backpropagation learning algorithms
Variations on backpropagation
Radial basis networks
Continuous hopfield networks
Competitive networks
Counterpropagation networks
Performance optimization
Performance surfaces and optimum points
Perceptron learning rule
Artificial neural networks
| Abstracts/Full-Text Paper Submission Deadline |
|
March 01, 2021 |
| Notification of Acceptance/Rejection |
|
March 15, 2021 |
| Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
May 20, 2022 |
| Conference Dates |
|
June 21-22, 2022 |
| Hammadi Nait Charif |
Bournemouth University, UK |
| Florian Misoc |
Applied Technical Services, US |
| Hamza Saad |
Binghamton University, US |
| Naga Usha Gayathri Lokala |
Wright State University, US |
| Srikanth Gururajan |
West Virginia University, US |
| Samantha Wijewardane |
University of South Florida, US |
| SClaudina Vargas Montero |
Complex Systems Optimization Lab, US |
| Mohshin Maredia |
University of Houston Downtown, US |
| Badri Ramanathan |
Citigroup Energy Inc, US |
| Kevin (Jiancheng) Jia |
International Game Technology, US |
| Adel El Shahat |
Ohio State University, US |
| Sridhar Seshagiri |
San Diego State University, US |
| Chethan Parameswariah |
New Mexico Tech, US |
| Ruchi Sandilya |
Tata Institute of Fundamental Research, IN |
| Mohamed Shahriman Mohamed Yunus |
Centre of Excellence for Engineering and Technology, MY |
| Mojan Omidvar |
Queen Mary University of London, GB |
| Sathish Kumar Marappan |
Paavai Engineering College, IN |
| Ariunbolor Purvee |
German-Mongolian Institute for Resources and Technology, MN |
| Amer Shebani |
Zawiya College of Computer, LY |
| Amer Shebani |
University of Huddersfield , GB |
| Regad Mohamed Brahim |
Hassiba Benbouali University of Chlef, DZ |
| Ar Junejo |
Harbin Institute of Technology, CN |
| A. Kousar Nikhath |
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, IN |
| Frederic Jumelle |
Bright Nation Limited, HK |
| Abdelhadi Namoune |
Ahmed Zabana University Centre of Rélizane, DZ |
| Ibrahim Cicek |
Istanbul Technical University , TR |
| Saman Maroufpoor |
University of Tehran, IR |
| Pham Van Nha |
Academy of Military Science and Technology, VN |
| Katarina Rogulj |
University of Split, Faculty of Civil Engineering, Architecture and Geodesy, HR |
| Caroline König |
Universitat Politécnica de Catalunya, ES |
| Participation Type |
Early Registration Ticket Fees |
Registration Ticket Fees |
| Non-Student Oral/Poster Presenter Registration |
€ 450 |
€ 500 |
| Student Oral/Poster Presenter Registration |
€ 350 |
€ 400 |
| Listener Registration |
€ 250 |
€ 300 |
| Additional Paper Publication |
€ 100 |
All conference materials and services will be delivered digitally to the participant with the online conference management system.
Conference registration includes the following digital materials and services:
- e-certificates [for Authors: Certificate of Attendance and Presentation; for Listeners: Certificate of Attendance; for Chairs: Certificate of Attendance and Appreciation; for Presenters: Certificate of Best Presentation (if conferred based appraisal)]
- e-program
- e-book
- e-name badge
- e-receipt
- e-presentation
Presentation Types:
-
Physical presentation is an oral conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
-
Digital presentation is a digital conferencing presentation that is made using digital technology including embedded digital elements ( texts, tables, graphs, or videos ) for PowerPoint sharing.
Early Bird Registration
Early Bird registration is valid until 2022-05-20 23:59:59
Online Credit Card Processing
Online payment option available for author
and listener delegates.
Conference participants can make online credit card payments for conference registration fees.
