Scholarly Research Excellence

ICCIS 2021 : 23rd International Conference on Computational Intelligence Systems

Chicago, USA
October 10 - 11, 2021

Conference Code: 21US10ICCIS

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Digital Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICCIS 2021 has teamed up with the Special Journal Issue on Computational Intelligence 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.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   November 15, 2020
Notification of Acceptance/Rejection   November 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 10, 2021
Conference Dates   October 10 - 11, 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) Road Vehicle Recognition Using Magnetic Sensing Feature Extraction and Classification
Xiao Chen, Xiaoying Kong, Min Xu
2) Long Short-Term Memory Based Model for Modeling Nicotine Consumption Using an Electronic Cigarette and Internet of Things Devices
Hamdi Amroun, Yacine Benziani, Mehdi Ammi
3) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
4) ELISA Based hTSH Assessment Using Two Sensitive and Specific Anti-hTSH Polyclonal Antibodies
Maysam Mard-Soltani, Mohamad Javad Rasaee, Saeed Khalili, Abdol Karim Sheikhi, Mehdi Hedayati
5) Early Diagnosis of Alzheimer's Disease Using a Combination of Images Processing and Brain Signals
E. Irankhah, M. Zarif, E. Mazrooei Rad, K. Ghandehari
6) Presentation of a Mix Algorithm for Estimating the Battery State of Charge Using Kalman Filter and Neural Networks
Amin Sedighfar, M. R. Moniri
7) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
8) Identification of Disease Causing DNA Motifs in Human DNA Using Clustering Approach
G. Tamilpavai, C. Vishnuppriya
9) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz
10) Tools for Analysis and Optimization of Standalone Green Microgrids
William Anderson, Kyle Kobold, Oleg Yakimenko
11) Meta-Learning for Hierarchical Classification and Applications in Bioinformatics
Fabio Fabris, Alex A. Freitas
12) Investigation of Improved Chaotic Signal Tracking by Echo State Neural Networks and Multilayer Perceptron via Training of Extended Kalman Filter Approach
Farhad Asadi, S. Hossein Sadati
13) Early Recognition and Grading of Cataract Using a Combined Log Gabor/Discrete Wavelet Transform with ANN and SVM
Hadeer R. M. Tawfik, Rania A. K. Birry, Amani A. Saad
14) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
15) Load Forecasting Using Neural Network Integrated with Economic Dispatch Problem
Mariyam Arif, Ye Liu, Israr Ul Haq, Ahsan Ashfaq

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