Excellence in Research and Innovation for Humanity

ICAINN 2017 : 19th International Conference on Artificial Intelligence and Neural Networks

Barcelona, Spain
October 30 - 31, 2017

Conference Code: 17ES10ICAINN

Conference Aims and Objectives

The ICAINN 2017: 19th International Conference on Artificial Intelligence and Neural Networks aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence and Neural Networks. 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 Artificial Intelligence and Neural Networks.

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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Artificial Intelligence and Neural Networks are cordially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 post conference proceedings will be abstracted and indexed in the International Science Index , and submitted to be indexed in the Google Scholar, and other index databases. The conference abstracts and proceedings book, CD and certificate of presentation will be distributed to participants at the conference registration desk.

Special Journal Issues

ICAINN 2017 has teamed up with the Special Journal Issue on Artificial Intelligence and Neural Networks. 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 10, 2017
Notification of Acceptance/Rejection   September 25, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   September 29, 2017
Conference Dates   October 30 - 31, 2017

Important Notes

Please ensure your submission meets WASET'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) 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
2) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
3) Detecting and Secluding Route Modifiers by Neural Network Approach in Wireless Sensor Networks
C. N. Vanitha, M. Usha
4) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine Vision
M. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari
5) Detecting Tomato Flowers in Greenhouses Using Computer Vision
Dor Oppenheim, Yael Edan, Guy Shani
6) 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
7) A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops
Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha
8) Pose Normalization Network for Object Classification
Bingquan Shen
9) Design and Implementation of Medium Access Control Based Routing on Real Wireless Sensor Networks Testbed
Smriti Agarwal, Ashish Payal, B. V. R. Reddy
10) Causal Relation Identification Using Convolutional Neural Networks and Knowledge Based Features
Tharini N. de Silva, Xiao Zhibo, Zhao Rui, Mao Kezhi
11) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism Database
Semeh Ben Salem, Sami Naouali, Moetez Sallami
12) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative Frequency
Semeh Ben Salem, Sami Naouali, Moetez Sallami
13) Energy-Efficient Clustering Protocol in Wireless Sensor Networks for Healthcare Monitoring
Ebrahim Farahmand, Ali Mahani
14) Perception-Oriented Model Driven Development for Designing Data Acquisition Process in Wireless Sensor Networks
K. Indra Gandhi
15) A Cross-Cultural Approach for Communication with Biological and Non-Biological Intelligences
Thomas Schalow

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