Open Science Research Excellence

ICACE 2021 : International Conference on Automation and Control Engineering

London, United Kingdom
August 19 - 20, 2021

Conference Code: 21UK08ICACE

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

ICACE 2021 has teamed up with the Special Journal Issue on Automation and Control 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.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   April 29, 2021
Notification of Acceptance/Rejection   May 13, 2021
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 20, 2021
Conference Dates   August 19 - 20, 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) Improved Rare Species Identification Using Focal Loss Based Deep Learning Models
Chad Goldsworthy, B. Rajeswari Matam
2) Comparing Machine Learning Estimation of Fuel Consumption of Heavy-Duty Vehicles
Victor Bodell, Lukas Ekstrom, Somayeh Aghanavesi
3) A Game-Based Product Modelling Environment for Non-Engineer
Guolong Zhong, Venkatesh Chennam Vijay, Ilias Oraifige
4) Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine
Hira Lal Gope, Hidekazu Fukai
5) Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
6) Training Undergraduate Engineering Students in Robotics and Automation through Model-Based Design Training: A Case Study at Assumption University of Thailand
Sajed A. Habib
7) Robotic Assistance in Nursing Care: Survey on Challenges and Scenarios
Pascal Gliesche, Kathrin Seibert, Christian Kowalski, Dominik Domhoff, Max Pfingsthorn, Karin Wolf-Ostermann, Andreas Hein
8) Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
9) An Open Loop Distribution Module for Precise and Uniform Drip Fertigation in Soilless Culture
Juan Ignacio Arango, Andres Diaz, Giacomo Barbieri
10) Automated Vehicle Traffic Control Tower: A Solution to Support the Next Level Automation
Xiaoyun Zhao, Rami Darwish, Anna Pernestål
11) Convergence Analysis of Training Two-Hidden-Layer Partially Over-Parameterized ReLU Networks via Gradient Descent
Zhifeng Kong
12) Adaptive Envelope Protection Control for the below and above Rated Regions of Wind Turbines
Mustafa Sahin, İlkay Yavrucuk
13) Process Optimization and Automation of Information Technology Services in a Heterogenic Digital Environment
Tasneem Halawani, Yamen Khateeb
14) Churn Prediction for Telecommunication Industry Using Artificial Neural Networks
Ulas Vural, M. Ergun Okay, E. Mesut Yildiz
15) A Survey of Field Programmable Gate Array-Based Convolutional Neural Network Accelerators
Wei Zhang

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