3 citations · 7 across the 5 of their papers we have counts for
5 papers
Gamers Private Network Performance Forecasting. From Raw Data to the Data Warehouse with Machine Learning and Neural Nets
Albert Wong, Chun Yin Chiu, Gaétan Hains +4
Gamers Private Network (GPN) is a client/server technology that guarantees a connection for online video games that is more reliable and lower latency than a standard internet conn…
Parallel Programming Applied Research Projects for Teaching Parallel Programming to Beginner Students
Youry Khmelevsky, Gaetan J. D. R. Hains
In this paper, we discuss the educational value of a few mid-size and one large applied research projects at the Computer Science Department of Okanagan College (OC) and at the Uni…
Machine Learning Prediction of Gamer's Private Networks
Chris Mazur, Jesse Ayers, Gaetan Hains +1
The Gamer's Private Network (GPN) is a client/server technology created by WTFast for making the network performance of online games faster and more reliable. GPN s use middle-mile…
State-of-the-Art on Query & Transaction Processing Acceleration
Bernd Amann, Youry Khmelevsky, Gaetan Hains
The vast amount of processing power and memory bandwidth provided by modern Graphics Processing Units (GPUs) make them a platform for data-intensive applications. The database comm…
Formal methods and software engineering for DL. Security, safety and productivity for DL systems development
Gaetan J. D. R. Hains, Arvid Jakobsson, Youry Khmelevsky
Deep Learning (DL) techniques are now widespread and being integrated into many important systems. Their classification and recognition abilities ensure their relevance for multipl…