The 1st ICONNSMAL 2022
It is with my great pleasure and honor to announce The 1st International Conference on Neural Networks and Machine Learning which will be held from 29th – 30th November 2022 in the University of Jember, East Java, Indonesia. The selected paper will be Published in Advances in Inteligent System Research by Atlantis Press Indexed CPCI (WOS). It is the first international conference organized by CGANT Research Group, University of Jember.
Prof. Slamin, M.Com.Sc, Ph.D
Professor in Computer Science
(University of Jember)
Indonesia
Ass. Prof. Dr. G Nagamani
Associate Professor Passivity Theory, Control Theory, Stability Theory
(The Gandhigram Rural Institute)
India
Dr. Adel Al-Jumaily
Associate Professor Faculty of Engineering and IT
(University Technology Sydney)
Australia
Dr. R. Sunder, M.Sc., M. Tech, Ph.D., IEEE, IACSIT, IAENG
Associate Professor,
Department of Computer Science and Engineering
(Sahrdaya College of Engineering and Technology)
India
Prof. Dafik, M.Sc, Ph.D
Professor in Graph Theory and Network Topology
(University of Jember)
Indonesia
Ass. Prof. Khoirul Anam, M.T, Ph.D
Associate Professor in Machine Learning and Artificial Intelegence
(University of Jember)
Indonesia
Conference Themes
The main themes of The ICONNSMAL 2022 (The International Conference on Neural Networks and Machine Learning) are focused on problems related to Neural Networks, Machine Learning, and its applications. The topics of the conference include:
1. Artificial Neural Networks and Its Application
2. Deep Learning and Lifelong Machine Learning for Physical science
3. Graph Neural Network and Its Applications
4. Network Topology Analysis and Supply Chain Management
5. Pattern Recognition Study
6. Soft Computing Theory and Applications for material science
7. Artificial Intelligence Tools & Computational Intelligence for quantum mechanics
8. Data Clustering for Big Data Mining
9. Modern Cryptography for Cybersecurity
10. Programming Languages and Software Engineering
11. Intelligent System: Architecture, Design and Control
12. Natural Language Processing
13. MOOC-Based Learning
The content of machine learning and neural networks are related to science and mathematics, development of software engineering for biological sciences, biomedical engineering, and physical engineering.
The main themes of The ICONNSMAL 2022 (The International Conference on Neural Networks and Machine Learning) are focused on problems related to Neural Networks, Machine Learning, and its applications. The topics of the conference include:
1. Artificial Neural Networks and Its Application
2. Deep Learning and Lifelong Machine Learning for Physical science
3. Graph Neural Network and Its Applications
4. Network Topology Analysis and Supply Chain Management
5. Pattern Recognition Study
6. Soft Computing Theory and Applications for material science
7. Artificial Intelligence Tools & Computational Intelligence for quantum mechanics
8. Data Clustering for Big Data Mining
9. Modern Cryptography for Cybersecurity
10. Programming Languages and Software Engineering
11. Intelligent System: Architecture, Design and Control
12. Natural Language Processing
13. MOOC-Based Learning
The content of machine learning and neural networks are related to science and mathematics, development of software engineering for biological sciences, biomedical engineering, and physical engineering.
Publication
Selected papers will be potentially published in the following:
1. Advances in Intelligent Systems Research, Atlantis Press, Indexed by CPCI (WoS) (Listed in upcoming volume Atlantis Press)
2. Special Issue Journal of Discrete Mathematical Sciences and Cryptography, Indexed by Scopus
3. International Proceeding of ICONNSMAL
4. CGANT Journal of Mathematics and Applications
Selected papers will be potentially published in the following:
1. Advances in Intelligent Systems Research, Atlantis Press, Indexed by CPCI (WoS) (Listed in upcoming volume Atlantis Press)
2. Special Issue Journal of Discrete Mathematical Sciences and Cryptography, Indexed by Scopus
3. International Proceeding of ICONNSMAL
4. CGANT Journal of Mathematics and Applications