Scholarly Research Excellence

ICNNA 2018 : 20th International Conference on Neural Networks in Aerospace

Mumbai, India
February 22 - 23, 2018

Conference Code: 18IN02ICNNA

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

ICNNA 2018 has teamed up with the Special Journal Issue on Neural Networks in Aerospace. 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   December 31, 2017
Notification of Acceptance/Rejection   January 10, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   January 22, 2018
Conference Dates   February 22 - 23, 2018

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 Security Trade-Offs in Resource Constrained Nodes for IoT Application
Sultan Alharby, Nick Harris, Alex Weddell, Jeff Reeve
2) Development and Range Testing of a LoRaWAN System in an Urban Environment
N. R. Harris, J. Curry
3) 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
4) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
5) Relay Node Placement for Connectivity Restoration in Wireless Sensor Networks Using Genetic Algorithms
Hanieh Tarbiat Khosrowshahi, Mojtaba Shakeri
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) Tools for Analysis and Optimization of Standalone Green Microgrids
William Anderson, Kyle Kobold, Oleg Yakimenko
9) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz
10) A Dataset of Program Educational Objectives Mapped to ABET Outcomes: Data Cleansing, Exploratory Data Analysis and Modeling
Addin Osman, Anwar Ali Yahya, Mohammed Basit Kamal
11) Text Mining of Twitter Data Using a Latent Dirichlet Allocation Topic Model and Sentiment Analysis
Sidi Yang, Haiyi Zhang
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) An Elaborate Survey on Node Replication Attack in Static Wireless Sensor Networks
N. S. Usha, E. A. Mary Anita
15) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia

Similar conferences about Aerospace and Mechanical Engineering