Open Science Research Excellence

ICDEIS 2020 : International Conference on Digital Enterprise and Information Systems

Tokyo, Japan
March 23 - 24, 2020

Conference Code: 20JP03ICDEIS

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

ICDEIS 2020 has teamed up with the Special Journal Issue on Digital Enterprise and Information Systems. 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 12, 2019
Notification of Acceptance/Rejection   December 31, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   February 14, 2020
Conference Dates   March 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) Technical and Economic Analysis of Smart Micro-Grid Renewable Energy Systems: An Applicable Case Study
M. A. Fouad, M. A. Badr, Z. S. Abd El-Rehim, Taher Halawa, Mahmoud Bayoumi, M. M. Ibrahim
2) Cybersecurity Protection Structures: The Case of Lesotho
N. N. Mosola, K. F. Moeketsi, R. Sehobai, N. Pule
3) Optimal Placement and Sizing of Distributed Generation in Microgrid for Power Loss Reduction and Voltage Profile Improvement
Ferinar Moaidi, Mahdi Moaidi
4) Context Aware Anomaly Behavior Analysis for Smart Home Systems
Zhiwen Pan, Jesus Pacheco, Salim Hariri, Yiqiang Chen, Bozhi Liu
5) Performance Analysis of Search Medical Imaging Service on Cloud Storage Using Decision Trees
González A. Julio, Ramírez L. Leonardo, Puerta A. Gabriel
6) Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
7) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone
8) Evaluation of Non-Staggered Body-Fitted Grid Based Solution Method in Application to Supercritical Fluid Flows
Suresh Sahu, Abhijeet M. Vaidya, Naresh K. Maheshwari
9) The Potential of Hybrid Microgrids for Mitigating Power Outage in Lebanon
R. Chedid, R. Ghajar
10) A Communication Signal Recognition Algorithm Based on Holder Coefficient Characteristics
Hui Zhang, Ye Tian, Fang Ye, Ziming Guo
11) Performing Diagnosis in Building with Partially Valid Heterogeneous Tests
Houda Najeh, Mahendra Pratap Singh, Stéphane Ploix, Antoine Caucheteux, Karim Chabir, Mohamed Naceur Abdelkrim
12) A Bayesian Classification System for Facilitating an Institutional Risk Profile Definition
Roman Graf, Sergiu Gordea, Heather M. Ryan
13) Cloudburst-Triggered Natural Hazards in Uttarakhand Himalaya: Mechanism, Prevention, and Mitigation
Vishwambhar Prasad Sati
14) Optimization of Solar Tracking Systems
A. Zaher, A. Traore, F. Thiéry, T. Talbert, B. Shaer
15) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif

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