Open Science Research Excellence

ICBDANGSMA 2020 : International Conference on Big Data Analytics in Next Generation Smart Manufacturing Applications

Toronto, Canada
September 21 - 22, 2020

Conference Code: 20CA09ICBDANGSMA

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

ICBDANGSMA 2020 has teamed up with the Special Journal Issue on Big Data Analytics in Next Generation Smart Manufacturing Applications. 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   January 30, 2020
Notification of Acceptance/Rejection   February 13, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   August 21, 2020
Conference Dates   September 21 - 22, 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) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis
2) Net Interest Margin of Cooperative Banks in Low Interest Rate Environment
Karolína Vozková, Matěj Kuc
3) Forecasting Issues in Energy Markets within a Reg-ARIMA Framework
Ilaria Lucrezia Amerise
4) Fault Detection and Diagnosis of Broken Bar Problem in Induction Motors Base Wavelet Analysis and EMD Method: Case Study of Mobarakeh Steel Company in Iran
M. Ahmadi, M. Kafil, H. Ebrahimi
5) Microclimate Variations in Rio de Janeiro Related to Massive Public Transportation
Marco E. O. Jardim, Frederico A. M. Souza, Valeria M. Bastos, Myrian C. A. Costa, Nelson F. F. Ebecken
6) Improving Flash Flood Forecasting with a Bayesian Probabilistic Approach: A Case Study on the Posina Basin in Italy
Zviad Ghadua, Biswa Bhattacharya
7) Critical Psychosocial Risk Treatment for Engineers and Technicians
R. Berglund, T. Backström, M. Bellgran
8) Information Security Risk Management in IT-Based Process Virtualization: A Methodological Design Based on Action Research
Jefferson Camacho Mejía, Jenny Paola Forero Pachón, Luis Carlos Gómez Flórez
9) Measuring Banks’ Antifragility via Fuzzy Logic
Danielle Sandler dos Passos, Helder Coelho, Flávia Mori Sarti
10) Predictive Analysis for Big Data: Extension of Classification and Regression Trees Algorithm
Ameur Abdelkader, Abed Bouarfa Hafida
11) Automatic Adjustment of Thresholds via Closed-Loop Feedback Mechanism for Solder Paste Inspection
Chia-Chen Wei, Pack Hsieh, Jeffrey Chen
12) Risk and Uncertainty in Aviation: A Thorough Analysis of System Vulnerabilities
C. V. Pietreanu, S. E. Zaharia, C. Dinu
13) Factors Affecting Green Supply Chain Management of Lampang Ceramics Industry
Nattida Wannaruk, Wasawat Nakkiew
14) Deep Learning for Renewable Power Forecasting: An Approach Using LSTM Neural Networks
Fazıl Gökgöz, Fahrettin Filiz
15) Soil Moisture Control System: A Product Development Approach
Swapneel U. Naphade, Dushyant A. Patil, Satyabodh M. Kulkarni

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