Excellence in Research and Innovation for Humanity

ICRLAS 2018 : 20th International Conference on Robot Learning Algorithms and Systems

Barcelona, Spain
May 17 - 18, 2018

Conference Code: 18ES05ICRLAS

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

ICRLAS 2018 has teamed up with the Special Journal Issue on Robot Learning Algorithms and 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 20, 2018
Notification of Acceptance/Rejection   March 31, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 17, 2018
Conference Dates   May 17 - 18, 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) Long Short-Term Memory Based Model for Modeling Nicotine Consumption Using an Electronic Cigarette and Internet of Things Devices
Hamdi Amroun, Yacine Benziani, Mehdi Ammi
2) Use of Indian Food Mascot Design as an Advertising Tool in Maintaining and Growing the Brand Name
Preeti Yadav, Dandeswar Bisoyi, Debkumar Chakrabarti
3) Relay Node Placement for Connectivity Restoration in Wireless Sensor Networks Using Genetic Algorithms
Hanieh Tarbiat Khosrowshahi, Mojtaba Shakeri
4) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
5) Embodied Cognition as a Concept of Educational Neuroscience and Phenomenology
Elham Shirvani-Ghadikolaei
6) A Numerical Description of a Fibre Reinforced Concrete Using a Genetic Algorithm
Henrik L. Funke, Lars Ulke-Winter, Sandra Gelbrich, Lothar Kroll
7) Affective Robots: Evaluation of Automatic Emotion Recognition Approaches on a Humanoid Robot towards Emotionally Intelligent Machines
Silvia Santano Guillén, Luigi Lo Iacono, Christian Meder
8) Memory Types in Hemodialysis Patients: A Study Based on Hemodialysis Duration, Zahedan, South East of Iran
B. Sabayan, A. Alidadi, S. Ebrahimi, N. M. Bakhshani
9) A Speeded up Robust Scale-Invariant Feature Transform Currency Recognition Algorithm
Daliyah S. Aljutaili, Redna A. Almutlaq, Suha A. Alharbi, Dina M. Ibrahim
10) Hand Gesture Detection via EmguCV Canny Pruning
N. N. Mosola, S. J. Molete, L. S. Masoebe, M. Letsae
11) 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
12) Genetic Algorithm Based Deep Learning Parameters Tuning for Robot Object Recognition and Grasping
Delowar Hossain, Genci Capi
13) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
14) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative Frequency
Semeh Ben Salem, Sami Naouali, Moetez Sallami
15) The Capacity of Mel Frequency Cepstral Coefficients for Speech Recognition
Fawaz S. Al-Anzi, Dia AbuZeina

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