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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Artificial Intelligence and Neural Networks are cordially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
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
, 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
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
|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
||October 30 - 31, 2017
Please ensure your submission meets WASET's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for
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 LeavesGizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira 2) Image Rotation Using an Augmented 2-Step Shear TransformHee-Choul Kwon, Heeyong Kwon 3) Detecting and Secluding Route Modifiers by Neural Network Approach in Wireless Sensor NetworksC. N. Vanitha, M. Usha 4) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine VisionM. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari 5) Detecting Tomato Flowers in Greenhouses Using Computer VisionDor Oppenheim, Yael Edan, Guy Shani 6) Experimental Set-Up for Investigation of Fault Diagnosis of a Centrifugal PumpMaamar 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 CropsGizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha 8) Pose Normalization Network for Object ClassificationBingquan 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 FeaturesTharini 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 DatabaseSemeh Ben Salem, Sami Naouali, Moetez Sallami 12) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative FrequencySemeh 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 NetworksK. Indra Gandhi 15) A Cross-Cultural Approach for Communication with Biological and Non-Biological IntelligencesThomas Schalow
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