Excellence in Research and Innovation for Humanity

ICAIES 2018 : 20th International Conference on Artificial Intelligence for Energy Systems

Venice, Italy
November 14 - 15, 2018

Conference Code: 18IT11ICAIES

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

ICAIES 2018 has teamed up with the Special Journal Issue on Artificial Intelligence for Energy 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   July 20, 2018
Notification of Acceptance/Rejection   July 31, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   October 15, 2018
Conference Dates   November 14 - 15, 2018

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) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
2) Relay Node Placement for Connectivity Restoration in Wireless Sensor Networks Using Genetic Algorithms
Hanieh Tarbiat Khosrowshahi, Mojtaba Shakeri
3) Knowledge Reactor: A Contextual Computing Work in Progress for Eldercare
Scott N. Gerard, Aliza Heching, Susann M. Keohane, Samuel S. Adams
4) Thermalytix: An Advanced Artificial Intelligence Based Solution for Non-Contact Breast Screening
S. Sudhakar, Geetha Manjunath, Siva Teja Kakileti, Himanshu Madhu
5) A Numerical Description of a Fibre Reinforced Concrete Using a Genetic Algorithm
Henrik L. Funke, Lars Ulke-Winter, Sandra Gelbrich, Lothar Kroll
6) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz
7) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
8) Experimental Set-Up for Investigation of Fault Diagnosis of a Centrifugal Pump
Maamar Ali Saud Al Tobi, Geraint Bevan, K. P. Ramachandran, Peter Wallace, David Harrison
9) Sensitivity Analysis during the Optimization Process Using Genetic Algorithms
M. A. Rubio, A. Urquia
10) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha
11) Hybrid Adaptive Modeling to Enhance Robustness of Real-Time Optimization
Hussain Syed Asad, Richard Kwok Kit Yuen, Gongsheng Huang
12) A Cross-Cultural Approach for Communication with Biological and Non-Biological Intelligences
Thomas Schalow
13) A Comparative Analysis of Artificial Neural Network and Autoregressive Integrated Moving Average Model on Modeling and Forecasting Exchange Rate
Mogari I. Rapoo, Diteboho Xaba
14) Using Information Theory to Observe Natural Intelligence and Artificial Intelligence
Lipeng Zhang, Limei Li, Yanming Pearl Zhang
15) Massively-Parallel Bit-Serial Neural Networks for Fast Epilepsy Diagnosis: A Feasibility Study
Si Mon Kueh, Tom J. Kazmierski

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