ICANNS 2026: 20. International Conference on Artificial Neural Networks Systems

May 04-05, 2026 in Singapore, Singapore

DIGITAL

Conference Code: 26SGSI05ICANNS002

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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.

International Conference on Artificial Neural Networks Systems 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 Systems. 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 Systems.

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Artificial Neural Networks Systems are cordially invited for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, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

20. International Conference on Artificial Neural Networks Systems has teamed up with the Special Journal Issue on Artificial Neural Networks Systems. 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.

Application Forms

Selected Papers

Study of Deep Learning-Based Model for Recognizing Human Activities in IoT Applications
Tarunima Chatterjee, Pinaki Pratim Acharjya
An Approach to Control Electric Automotive Water Pumps Deploying Artificial Neural Networks
Gabriel S. Adesina, Ruixue Cheng, Michael Short, Geetika Aggarwal
Preliminary Study of Hand Gesture Classification in Upper-Limb Prosthetics Using Machine Learning with Electromyographic Signals
Linghui “Jeff” Meng, James Atlas, Deborah Munro
On the Resilience of Operational Technology Devices in Penetration Tests
Florian Kessels, Niklas Reitz, Marko Schuba
Automation of AAA Game Development Using AI
Paul Toprac, Branden Heng, Harsheni Siddharthan, Allison Tseng, Sarah Abraham, Etienne Vouga
Students’ Perceptions of the Impact of Robotics Competitions on Career Choices and Skill Development
Brehme D’napoli Reis de Mesquita
Speech Detection Model Based on Deep Neural Network Classifier for Speech Emotions Recognition
A. Shoiynbek, D. Kuanyshbay, P. Menezes, A. Bekarystankyzy, A. Mukhametzhanov, T. Shoiynbek
A Study on the Application of Machine Learning and Deep Learning Techniques for Skin Cancer Detection
Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra, Abdus Sobur
Advanced Convolutional Neural Network Paradigms-Comparison of VGG16 with Resnet50 in Crime Detection
Taiwo. M. Akinmuyisitan, John Cosmas
Factors Affecting Test Automation Stability and Their Solutions
Nagmani Lnu
Accelerating Quantum Chemistry Calculations: Machine Learning for Efficient Evaluation of Electron-Repulsion Integrals
Nishant Rodrigues, Nicole Spanedda, Chilukuri K. Mohan, Arindam Chakraborty
Latency-Based Motion Detection in Spiking Neural Networks
Mohammad Saleh Vahdatpour, Yanqing Zhang
End To End Process to Automate Batch Application
Nagmani Lnu
High-Power Amplifier Pre-distorter Based on Neural Networks for 5G Satellite Communications
Abdelhamid Louliej, Younes Jabrane
Personalized Applications for Advanced Healthcare through AI-ML and Blockchain
Anuja Vyas, Aikel Indurkhya, Hari Krishna Garg

Digital Program consists of the e-proceedings book which is available online-only and includes the conference communications (proceedings abstracts and papers). Registered participants can access the digitally available conference proceedings ( and certificates ) by visiting their profile pages.

Artificial Neural Networks Systems
Adaptive Identification and Control of Dynamical Systems Using Neural Networks
Algorithms and Architectures for Real-Time Control
Artificial Neural Networks based Identification of Nonlinear Dynamic Systems
Artificial Neural Networks based System Identification
Artificial Neural Networks for Control and Dynamical Systems
Artificial Neural Networks for Industrial and Control Engineering Applications
Artificial Neural Networks for Intelligent Manufacturing
Artificial Neural Networks in Control and Optimization
Artificial Neural Networks Systems for Multiple Criteria Decision Making
Computational Intelligence in Architecting Complex Engineering Systems
Computational Intelligence in Systems and Control Design and Applications
Control and Dynamic Systems
Control Systems, Robotics and Automation
Dynamic Multi-Layer Perceptron Networks
Dynamic Neural Networks
Hybrid Intelligent Engineering Systems
Identification and Adaptive Control of Dynamical Nonlinear Systems
Identification and Control of Dynamical Systems using Neural Networks
Identification of Continuous-Time Systems
Identification of Nonlinear Dynamical Systems using Artificial Neural Networks
Intelligent Control Systems Using Computational Intelligence Techniques
Intelligent Engineering Systems Through Artificial Neural Networks
Local Model Networks
Multi-Layer Perceptron Networks
Neural Network Identification of Non Linear Systems Using State Space Techniques
Neural Network Systems Techniques and Applications
Neural Networks and Dynamical Systems
Neural Networks for Control
Neural Networks in Robotics
Nonlinear System Control Using Neural Networks
Radial-Basis Function Networks
Recurrent Networks
Soft Computing and Intelligent Systems: Theory and Applications
Static Neural Networks
System Identification using Artificial Neural Networks

Abstracts/Full-Text Paper Submission Deadline		July 01, 2025
Notification of Acceptance/Rejection		July 15, 2025
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline		April 02, 2026
Conference Dates		May 04-05, 2026