Excellence in Research and Innovation for Humanity

ICCGAVE 2018 : 20th International Conference on Computer Graphics and Advanced Vision Engineering

Singapore, SG
January 8 - 9, 2018

Conference Code: 18SG01ICCGAVE

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

ICCGAVE 2018 has teamed up with the Special Journal Issue on Computer Graphics and Advanced Vision Engineering. 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   November 25, 2017
Notification of Acceptance/Rejection   November 30, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 8, 2017
Conference Dates   January 8 - 9, 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) Optimization of Solar Tracking Systems
A. Zaher, A. Traore, F. Thiéry, T. Talbert, B. Shaer
2) Attempt to Reuse Used-PCs as Distributed Storage
Toshiya Kawato, Shin-ichi Motomura, Masayuki Higashino, Takao Kawamura
3) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
4) Development of an Indoor Drone Designed for the Needs of the Creative Industries
V. Santamarina Campos, M. de Miguel Molina, S. Kröner, B. de Miguel Molina
5) Neuron Efficiency in Fluid Dynamics and Prediction of Groundwater Reservoirs'' Properties Using Pattern Recognition
J. K. Adedeji, S. T. Ijatuyi
6) Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features
Nadia Masood Khan, Muhammad Salman Khan, Gul Muhammad Khan
7) Hand Gestures Based Emotion Identification Using Flex Sensors
S. Ali, R. Yunus, A. Arif, Y. Ayaz, M. Baber Sial, R. Asif, N. Naseer, M. Jawad Khan
8) Optimized Brain Computer Interface System for Unspoken Speech Recognition: Role of Wernicke Area
Nassib Abdallah, Pierre Chauvet, Abd El Salam Hajjar, Bassam Daya
9) The Effect of Computer-Mediated vs. Face-to-Face Instruction on L2 Pragmatics: A Meta-Analysis
Marziyeh Yousefi, Hossein Nassaji
10) Automotive Emotions: An Investigation of Their Natures, Frequencies of Occurrence and Causes
Marlene Weber, Joseph Giacomin, Alessio Malizia, Lee Skrypchuk, Voula Gkatzidou
11) Classification of Computer Generated Images from Photographic Images Using Convolutional Neural Networks
Chaitanya Chawla, Divya Panwar, Gurneesh Singh Anand, M. P. S Bhatia
12) 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
13) Detecting Tomato Flowers in Greenhouses Using Computer Vision
Dor Oppenheim, Yael Edan, Guy Shani
14) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
15) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative Frequency
Semeh Ben Salem, Sami Naouali, Moetez Sallami

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