Open Science Research Excellence

ICCTD 2020 : International Conference on Circuit Theory and Design

Paris, France
January 23 - 24, 2020

Conference Code: 20FR01ICCTD

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

ICCTD 2020 has teamed up with the Special Journal Issue on Circuit Theory and Design. 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   July 1, 2019
Notification of Acceptance/Rejection   July 16, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 24, 2019
Conference Dates   January 23 - 24, 2020

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) The Principle Probabilities of Space-Distance Resolution for a Monostatic Radar and Realization in Cylindrical Array
Anatoly D. Pluzhnikov, Elena N. Pribludova, Alexander G. Ryndyk
2) Memristor-A Promising Candidate for Neural Circuits in Neuromorphic Computing Systems
Juhi Faridi, Mohd. Ajmal Kafeel
3) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
4) A Generalized Sparse Bayesian Learning Algorithm for Near-Field Synthetic Aperture Radar Imaging: By Exploiting Impropriety and Noncircularity
Pan Long, Bi Dongjie, Li Xifeng, Xie Yongle
5) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
6) Road Vehicle Recognition Using Magnetic Sensing Feature Extraction and Classification
Xiao Chen, Xiaoying Kong, Min Xu
7) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
8) 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
9) Early Diagnosis of Alzheimer's Disease Using a Combination of Images Processing and Brain Signals
E. Irankhah, M. Zarif, E. Mazrooei Rad, K. Ghandehari
10) Presentation of a Mix Algorithm for Estimating the Battery State of Charge Using Kalman Filter and Neural Networks
Amin Sedighfar, M. R. Moniri
11) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
12) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz
13) Tools for Analysis and Optimization of Standalone Green Microgrids
William Anderson, Kyle Kobold, Oleg Yakimenko
14) 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
15) 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

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