Open Science Research Excellence

ICAIDM 2020 : International Conference on Artificial Intelligence and Data Mining

Lisbon, Portugal
February 6 - 7, 2020

Conference Code: 20PT02ICAIDM

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

ICAIDM 2020 has teamed up with the Special Journal Issue on Artificial Intelligence and Data Mining. 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   August 29, 2019
Notification of Acceptance/Rejection   September 10, 2019
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 30, 2020
Conference Dates   February 6 - 7, 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) The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body
J. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi
2) Consumer Load Profile Determination with Entropy-Based K-Means Algorithm
Ioannis P. Panapakidis, Marios N. Moschakis
3) Prediction of the Lateral Bearing Capacity of Short Piles in Clayey Soils Using Imperialist Competitive Algorithm-Based Artificial Neural Networks
Reza Dinarvand, Mahdi Sadeghian, Somaye Sadeghian
4) A Neural Network Control for Voltage Balancing in Three-Phase Electric Power System
Dana M. Ragab, Jasim A. Ghaeb
5) An IM-COH Algorithm Neural Network Optimization with Cuckoo Search Algorithm for Time Series Samples
Wullapa Wongsinlatam
6) Comparison of Machine Learning Models for the Prediction of System Marginal Price of Greek Energy Market
Ioannis P. Panapakidis, Marios N. Moschakis
7) Deep Learning Based Fall Detection Using Simplified Human Posture
Kripesh Adhikari, Hamid Bouchachia, Hammadi Nait-Charif
8) Predictive Semi-Empirical NOx Model for Diesel Engine
Saurabh Sharma, Yong Sun, Bruce Vernham
9) Application of Neural Network in Portfolio Product Companies: Integration of Boston Consulting Group Matrix and Ansoff Matrix
M. Khajezadeh, M. Saied Fallah Niasar, S. Ali Asli, D. Davani Davari, M. Godarzi, Y. Asgari
10) Using Textual Pre-Processing and Text Mining to Create Semantic Links
Ricardo Avila, Gabriel Lopes, Vania Vidal, Jose Macedo
11) Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults
L. Lindsay, S. A. Coleman, D. Kerr, B. J. Taylor, A. Moorhead
12) Recent Trends on Security Constrained Economic Dispatch: A Bibliographic Review
Shewit Tsegaye, Fekadu Shewarega
13) Foot Recognition Using Deep Learning for Knee Rehabilitation
Rakkrit Duangsoithong, Jermphiphut Jaruenpunyasak, Alba Garcia
14) Simulation-Based Optimization of a Non-Uniform Piezoelectric Energy Harvester with Stack Boundary
Alireza Keshmiri, Shahriar Bagheri, Nan Wu
15) From Electroencephalogram to Epileptic Seizures Detection by Using Artificial Neural Networks
Gaetano Zazzaro, Angelo Martone, Roberto V. Montaquila, Luigi Pavone

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