Conference Code: 17ZA01ICANN
Conference Aims and Objectives
The ICANN 2017: 19th International Conference on Artificial 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 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 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 Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Artificial Neural Networks are cordially invited for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
, Scopus and Thomson Reuters. 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 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
||November 30, 2016
|Notification of Acceptance/Rejection
||December 5, 2016
|Final Paper (Camera Ready) Submission & Early Bird Registration Deadline
||December 10, 2016
||January 12 - 13, 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) Detecting and Secluding Route Modifiers by Neural Network Approach in Wireless Sensor NetworksC. N. Vanitha, M. Usha 3) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine VisionM. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari 4) Performance Evaluation of Refinement Method for Wideband Two-Beams FormationC. Bunsanit 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) Control Strategies for a Robot for Interaction with Children with Autism Spectrum DisorderVinicius Binotte, Guilherme Baldo, Christiane Goulart, Carlos Valadão, Eliete Caldeira, Teodiano Bastos 8) Pose Normalization Network for Object ClassificationBingquan Shen 9) Robot Navigation and Localization Based on the Rat’s Brain SignalsEndri Rama, Genci Capi, Shigenori Kawahara 10) Anomaly Detection with ANN and SVM for Telemedicine NetworksEdward Guillén, Jeisson Sánchez, Carlos Omar Ramos 11) A Genetic-Neural-Network Modeling Approach for Self-Heating in GaN High Electron Mobility TransistorsAnwar Jarndal 12) Comparing Emotion Recognition from Voice and Facial Data Using Time Invariant FeaturesVesna Kirandziska, Nevena Ackovska, Ana Madevska Bogdanova 13) From Research to Teaching: Integrating Social Robotics in Engineering DegreesYolanda Bolea, Antoni Grau, Alberto Sanfeliu 14) Using Information Theory to Observe Natural Intelligence and Artificial IntelligenceLipeng Zhang, Limei Li, Yanming Pearl Zhang 15) Prediction of Vapor Liquid Equilibrium for Dilute Solutions of Components in Ionic Liquid by Neural NetworksS. Mousavian, A. Abedianpour, A. Khanmohammadi, S. Hematian, Gh. Eidi Veisi
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