Open Science Research Excellence

ICNRL 2021 : International Conference on Neurocybernetics and Robot Learning

Ottawa, Canada
July 12 - 13, 2021

Conference Code: 21CA07ICNRL

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

ICNRL 2021 has teamed up with the Special Journal Issue on Neurocybernetics and Robot Learning. 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.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   January 30, 2020
Notification of Acceptance/Rejection   February 13, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   June 11, 2021
Conference Dates   July 12 - 13, 2021

Important Notes

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 GUIDE before submitting your paper.

Selected Conference Papers

1) An iTunes U App for Development of Metacognition Skills Delivered in the Enrichment Program Offered to Gifted Students at the Secondary Level
Maha Awad M. Almuttairi
2) Speaker Recognition Using LIRA Neural Networks
Nestor A. Garcia Fragoso, Tetyana Baydyk, Ernst Kussul
3) Algorithm for Path Recognition in-between Tree Rows for Agricultural Wheeled-Mobile Robots
Anderson Rocha, Pedro Miguel de Figueiredo Dinis Oliveira Gaspar
4) The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body
J. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi
5) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
6) Implementation of a Multimodal Biometrics Recognition System with Combined Palm Print and Iris Features
Rabab M. Ramadan, Elaraby A. Elgallad
7) Urban Renewal from the Perspective of Industrial Heritage Protection: Taking the Qiaokou District of Wuhan as an Example
Yue Sun, Yuan Wang
8) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
9) Optimizing the Probabilistic Neural Network Training Algorithm for Multi-Class Identification
Abdelhadi Lotfi, Abdelkader Benyettou
10) Performance Assessment of a Variable-Flux Permanent-Magnet Memory Motor
Michel Han, Christophe Besson, Alain Savary, Yvan Becher
11) Harrison’s Stolen: Addressing Aboriginal and Indigenous Islanders Human Rights
M. Shukry
12) Non-Invasive Data Extraction from Machine Display Units Using Video Analytics
Ravneet Kaur, Joydeep Acharya, Sudhanshu Gaur
13) Object Recognition Approach Based on Generalized Hough Transform and Color Distribution Serving in Generating Arabic Sentences
Nada Farhani, Naim Terbeh, Mounir Zrigui
14) Make Up Flash: Web Application for the Improvement of Physical Appearance in Images Based on Recognition Methods
Stefania Arguelles Reyes, Octavio José Salcedo Parra, Alberto Acosta López
15) A Recognition Method of Ancient Yi Script Based on Deep Learning
Shanxiong Chen, Xu Han, Xiaolong Wang, Hui Ma

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