Excellence in Research and Innovation for Humanity

ICETS 2023 : 25th International Conference on e-Management Technology and Strategy

Madrid, Spain
September 10 - 11, 2023

Conference Code: 23ES09ICETS

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

ICETS 2023 has teamed up with the Special Journal Issue on e-Management Technology and Strategy. 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   March 10, 2023
Notification of Acceptance/Rejection   June 10, 2023
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   August 10, 2023
Conference Dates   September 10 - 11, 2023

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) Effect of Social Media on the Study Habits of Students of Alvan Ikoku Federal College of Education, Owerri
Perpetua O. Ezeji, Kelechi E. Ezeji
2) The Influence of Fashion Bloggers on the Pre-Purchase Decision for Online Fashion Products among Generation Y Female Malaysian Consumers
Mohd Zaimmudin Mohd Zain, Patsy Perry, Lee Quinn
3) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
4) The Security Trade-Offs in Resource Constrained Nodes for IoT Application
Sultan Alharby, Nick Harris, Alex Weddell, Jeff Reeve
5) Missing Link Data Estimation with Recurrent Neural Network: An Application Using Speed Data of Daegu Metropolitan Area
JaeHwan Yang, Da-Woon Jeong, Seung-Young Kho, Dong-Kyu Kim
6) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
7) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
8) Development and Range Testing of a LoRaWAN System in an Urban Environment
N. R. Harris, J. Curry
9) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
10) An Intelligent Baby Care System Based on IoT and Deep Learning Techniques
Chinlun Lai, Lunjyh Jiang
11) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
12) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique
C. Manjula, Lilly Florence
13) A Multi-Science Study of Modern Synergetic War and Its Information Security Component
Alexander G. Yushchenko
14) Knowledge Reactor: A Contextual Computing Work in Progress for Eldercare
Scott N. Gerard, Aliza Heching, Susann M. Keohane, Samuel S. Adams
15) Optimized Preprocessing for Accurate and Efficient Bioassay Prediction with Machine Learning Algorithms
Jeff Clarine, Chang-Shyh Peng, Daisy Sang

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