Excellence in Research and Innovation for Humanity

ICVPP 2018 : 20th International Conference on Visual Perceptual Processing

Singapore, SG
May 3 - 4, 2018

Conference Code: 18SG05ICVPP

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

ICVPP 2018 has teamed up with the Special Journal Issue on Visual Perceptual Processing. 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 15, 2018
Notification of Acceptance/Rejection   March 20, 2018
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   April 3, 2018
Conference Dates   May 3 - 4, 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) Dental Students’ Attitude towards Problem-Based Learning before and after Implementing 3D Electronic Dental Models
Hai Ming Wong, Kuen Wai Ma, Lavender Yu Xin Yang, Yanqi Yang
2) Prediction on Housing Price Based on Deep Learning
Li Yu, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang
3) Sustainable Development, China’s Emerging Role via One Belt, One Road
Saeid Rabiei Majd, Motahareh Alvandi, Mehrad Rabiei
4) Water End-Use Classification with Contemporaneous Water-Energy Data and Deep Learning Network
Khoi A. Nguyen, Rodney A. Stewart, Hong Zhang
5) Noise Reduction in Web Data: A Learning Approach Based on Dynamic User Interests
Julius Onyancha, Valentina Plekhanova
6) The Effect of Cross-Curriculum of L1 and L2 on Elementary School Students’ Linguistic Proficiency: To Sympathize with Others
Reiko Yamamoto
7) Evaluating Machine Learning Techniques for Activity Classification in Smart Home Environments
Talal Alshammari, Nasser Alshammari, Mohamed Sedky, Chris Howard
8) Cognition of Driving Context for Driving Assistance
Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
9) Humans as Enrichment: Human-Animal Interactions and the Perceived Benefit to the Cheetah (Acinonyx jubatus), Human and Zoological Establishment
S. J. Higgs, E. Van Eck, K. Heynis, S. H. Broadberry
10) 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
11) Towards a Deconstructive Text: Beyond Language and the Politics of Absences in Samuel Beckett’s Waiting for Godot
Afia Shahid
12) Use of Indian Food Mascot Design as an Advertising Tool in Maintaining and Growing the Brand Name
Preeti Yadav, Dandeswar Bisoyi, Debkumar Chakrabarti
13) An Intelligent Baby Care System Based on IoT and Deep Learning Techniques
Chinlun Lai, Lunjyh Jiang
14) The Attitude of Second Year Pharmacy Students towards Lectures, Exams and E-Learning
Ahmed T. Alahmar
15) Hybrid Reliability-Similarity-Based Approach for Supervised Machine Learning
Walid Cherif

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