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GSTF


Best Paper Awards 2017

Best Research Paper 

Assoc. Prof. Fatma Meawed
University of Glasgow, Singapore
 

Ghada Ahmed
German University in Cairo, Egypt
 

Best Student Paper 

Mr. Damijan Novak
UM FERI Maribor, Slovenia

 

Best Paper Awards 2016

Best Research Paper 

Dr. Moutaz Saleh and Dr.Jihad Mohamad Alja'Am
Qatar University
 

Best Student Paper 

Mr. Kevin Anthony Jones
Nanyang Technological University
Singapore

 

Best Paper Awards 2015

Best Research Paper

Prof. Boumediene Belkhouche
United Arab Emirates University
UAE
 

Best Student Paper

Mr. Laurent Noel
Université Paris-Est Marne-la-Vallée
France

Ms. Siti Noraishah Musa
Multimedia University
Malaysia


 


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Conference Proceedings have been indexed (since 2008) by  

Selected Paper Submissions for Oral Presentation at CGAT 2017 (as at 03 February 2017)


PAPER TITLE
An Aspect-Based Classification of Real-Time Strategy Game Worlds
The G4M3 Model
Games Industry Adaptive Roadmap - Results of the European Union Cre-AM Project for the Games Industry
Topical User Profiling from Twitter for Point of Interest (POI) Recommendation in an Augmented Reality View
A Model for Improving Serious Game Player Immersion via Symbiotic Agents, Natural Language Processing, and Facial Expression Analysis.
Symbiosis and Psychology Influenced Learning
Cultural Heritage Through Video Games: Case Studies in South-East Asia, Australia, and the Pacific
Human Motion Matching for Assisting Standard Thai Folk Dance Learning
A Scalable Platform for Visualization Using the Cloud
Wireless Biosensor Network for Continuous Health Monitoring
Implementation of Hadoop Big Data Technologies (BDT) for An E-Commerce Retailer
E-Wastage: An Analysis of Barriers & Evolution in the Context of Nepal
Simulation on Effect of Doppler Shift in Fading Channel and Imperfect Channel Estimation for OFDM in Wireless Communication
How Video Games and Digital Literacy Impacts Student Achievement and Development: An Analysis of Synergistic Integration
Mobile Devices, Social Networking and Social Reform
The Anonymization of Graph Data Using Ant Colony Systems

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