Excellence in Research and Innovation for Humanity

ICSCIP 2017 : 19th International Conference on Systems Control and Information Processing

London, United Kingdom
November 23 - 24, 2017

Conference Code: 17UK11ICSCIP

Conference Proceedings

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

Special Journal Issues

ICSCIP 2017 has teamed up with the Special Journal Issue on Systems Control and Information Processing. 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   September 25, 2017
Notification of Acceptance/Rejection   September 30, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   October 23, 2017
Conference Dates   November 23 - 24, 2017

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) 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
2) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
3) Presentation of a Mix Algorithm for Estimating the Battery State of Charge Using Kalman Filter and Neural Networks
Amin Sedighfar, M. R. Moniri
4) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
5) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz
6) Tools for Analysis and Optimization of Standalone Green Microgrids
William Anderson, Kyle Kobold, Oleg Yakimenko
7) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
8) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
9) Detecting and Secluding Route Modifiers by Neural Network Approach in Wireless Sensor Networks
C. N. Vanitha, M. Usha
10) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha
11) Pose Normalization Network for Object Classification
Bingquan Shen
12) Neural Network Based Approach of Software Maintenance Prediction for Laboratory Information System
Vuk M. Popovic, Dunja D. Popovic
13) A Comparative Analysis of Artificial Neural Network and Autoregressive Integrated Moving Average Model on Modeling and Forecasting Exchange Rate
Mogari I. Rapoo, Diteboho Xaba
14) Attitude Stabilization of Satellites Using Random Dither Quantization
Attitude Stabilization of Satellites Using Random Dither Quantization
15) Input Data Balancing in a Neural Network PM-10 Forecasting System
Suk-Hyun Yu, Heeyong Kwon

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