3 citations · 12 across the 11 of their papers we have counts for
11 papers
Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization
Nassi Ebadifard, Ajitesh Parihar, Youry Khmelevsky +3
A data warehouse efficiently prepares data for effective and fast data analysis and modelling using machine learning algorithms. This paper discusses existing solutions for the Dat…
Translating Natural Language Queries to SQL Using the T5 Model
Albert Wong, Lien Pham, Young Lee +7
This paper presents the development process of a natural language to SQL model using the T5 model as the basis. The models, developed in August 2022 for an online transaction proce…
Short-Term Stock Price Forecasting using exogenous variables and Machine Learning Algorithms
Albert Wong, Steven Whang, Emilio Sagre +6
Creating accurate predictions in the stock market has always been a significant challenge in finance. With the rise of machine learning as the next level in the forecasting area, t…
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…
Roof Damage Assessment from Automated 3D Building Models
Kenichi Sugihara, Martin Wallace, Kongwen +2
The 3D building modelling is important in urban planning and related domains that draw upon the content of 3D models of urban scenes. Such 3D models can be used to visualize city i…
Students Programming Competitions as an Educational Tool and a Motivational Incentive to Students
Youry Khmelevsky, Ken Chidlow
In this short paper we report on student programming competition results by students from the Computer Science Department (COSC) of Okanagan College (OC) and discuss the achieved r…
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…
Developing industry-wide information management capabilities: A case study from British Columbia's tree fruit industry
Svan Lembke, Youry Khmelevsky, Lee Cartier
As an industry of primarily small and mid-size businesses, it is becoming increasingly more difficult for British Columbia (BC)'s tree fruit growers to compete with large, often ve…
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…