Excellence in Research and Innovation for Humanity

ICMLCS 2018 : 20th International Conference on Machine Learning in Control Systems

Venice, Italy
June 21 - 22, 2018

Conference Code: 18IT06ICMLCS

International Research Conference Aims and Objectives

The ICMLCS 2018: 20th International Conference on Machine Learning in Control Systems aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Learning in Control Systems. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Machine Learning in Control Systems.

Call for Contributions

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Machine Learning in Control Systems are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.WASET

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

ICMLCS 2018 has teamed up with the Special Journal Issue on Machine Learning in Control 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   March 30, 2018
Notification of Acceptance/Rejection   April 15, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   May 21, 2018
Conference Dates   June 21 - 22, 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) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
2) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
3) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
4) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif
5) Hybrid Approach for Software Defect Prediction Using Machine Learning with Optimization Technique
C. Manjula, Lilly Florence
6) Optimized Preprocessing for Accurate and Efficient Bioassay Prediction with Machine Learning Algorithms
Jeff Clarine, Chang-Shyh Peng, Daisy Sang
7) Stability of Stochastic Model Predictive Control for Schrödinger Equation with Finite Approximation
Tomoaki Hashimoto
8) Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
Jaya Mathew
9) 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
10) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
11) Stochastic Model Predictive Control for Linear Discrete-Time Systems with Random Dither Quantization
Tomoaki Hashimoto
12) Sentiment Analysis: Comparative Analysis of Multilingual Sentiment and Opinion Classification Techniques
Sannikumar Patel, Brian Nolan, Markus Hofmann, Philip Owende, Kunjan Patel
13) Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
14) Load Forecasting in Microgrid Systems with R and Cortana Intelligence Suite
F. Lazzeri, I. Reiter
15) Stackelberg Security Game for Optimizing Security of Federated Internet of Things Platform Instances
Violeta Damjanovic-Behrendt

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