Excellence in Research and Innovation for Humanity

ICSCCS 2019 : 21st International Conference on Scientific Computing and Computational Statistics

Amsterdam, The Netherlands
November 4 - 5, 2019

Conference Code: 19NL11ICSCCS

International Research Conference Aims and Objectives

The ICSCCS 2019: 21st International Conference on Scientific Computing and Computational Statistics aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Scientific Computing and Computational Statistics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Scientific Computing and Computational Statistics.

Call for Contributions

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Scientific Computing and Computational Statistics are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET

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

ICSCCS 2019 has teamed up with the Special Journal Issue on Scientific Computing and Computational Statistics. 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   May 11, 2018
Notification of Acceptance/Rejection   May 27, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   October 4, 2019
Conference Dates   November 4 - 5, 2019

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) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
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) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
5) 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
6) Development of Prediction Models of Day-Ahead Hourly Building Electricity Consumption and Peak Power Demand Using the Machine Learning Method
Dalin Si, Azizan Aziz, Bertrand Lasternas
7) Detecting and Secluding Route Modifiers by Neural Network Approach in Wireless Sensor Networks
C. N. Vanitha, M. Usha
8) Application of Data Mining Techniques for Tourism Knowledge Discovery
Teklu Urgessa, Wookjae Maeng, Joong Seek Lee
9) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
10) An Improvement of Multi-Label Image Classification Method Based on Histogram of Oriented Gradient
Ziad Abdallah, Mohamad Oueidat, Ali El-Zaart
11) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha
12) Summarizing Data Sets for Data Mining by Using Statistical Methods in Coastal Engineering
Yunus Doğan, Ahmet Durap
13) Pose Normalization Network for Object Classification
Bingquan Shen
14) Discovering User Behaviour Patterns from Web Log Analysis to Enhance the Accessibility and Usability of Website
Harpreet Singh
15) Linguistic Summarization of Structured Patent Data
E. Y. Igde, S. Aydogan, F. E. Boran, D. Akay

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