Open Science Research Excellence

ICADMTEE 2021 : International Conference on Applications of Data Mining Techniques in Electrical Engineering

New York, USA
June 3 - 4, 2021

Conference Code: 21US06ICADMTEE

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

ICADMTEE 2021 has teamed up with the Special Journal Issue on Applications of Data Mining Techniques in Electrical Engineering. 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 30, 2020
Notification of Acceptance/Rejection   October 15, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   May 4, 2021
Conference Dates   June 3 - 4, 2021

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) Improving Fake News Detection Using K-means and Support Vector Machine Approaches
Kasra Majbouri Yazdi, Adel Majbouri Yazdi, Saeid Khodayi, Jingyu Hou, Wanlei Zhou, Saeed Saedy
2) Predicting the Success of Bank Telemarketing Using Artificial Neural Network
Mokrane Selma
3) Lung Cancer Detection and Multi Level Classification Using Discrete Wavelet Transform Approach
V. Veeraprathap, G. S. Harish, G. Narendra Kumar
4) The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics
Pantaleon Lutta, Mohamed Sedky, Mohamed Hassan
5) Modeling Engagement with Multimodal Multisensor Data: The Continuous Performance Test as an Objective Tool to Track Flow
Mohammad H. Taheri, David J. Brown, Nasser Sherkat
6) Machine Learning Techniques in Bank Credit Analysis
Fernanda M. Assef, Maria Teresinha A. Steiner
7) Optimization of Agricultural Water Demand Using a Hybrid Model of Dynamic Programming and Neural Networks: A Case Study of Algeria
M. Boudjerda, B. Touaibia, M. K. Mihoubi
8) Uplink Throughput Prediction in Cellular Mobile Networks
Engin Eyceyurt, Josko Zec
9) Controlling of Multi-Level Inverter under Shading Conditions Using Artificial Neural Network
Abed Sami Qawasme, Sameer Khader
10) Classifying Turbomachinery Blade Mode Shapes Using Artificial Neural Networks
Ismail Abubakar, Hamid Mehrabi, Reg Morton
11) DocPro: A Framework for Processing Semantic and Layout Information in Business Documents
Ming-Jen Huang, Chun-Fang Huang, Chiching Wei
12) Discussing Embedded versus Central Machine Learning in Wireless Sensor Networks
Anne-Lena Kampen, Øivind Kure
13) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
14) Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
Ioannis P. Panapakidis, Marios N. Moschakis
15) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis

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