Enhancement of technology and computer science has helped researchers in multiple fields and industries, from health care to automotive industry. Smoking is one of the habits that could harm humans dramatically. Lung cancer, heart attack is just some of the diseases that come with smoking. A large number of people strive to quit smoking each […]

Le domaine technologique de l’aquaculture est en pleine expansion. De nouveaux instruments d’échantillonnage génèrent beaucoup de données alors l’analyse de celles-ci s’avère un défi important. Les aquiculteurs à travers le monde ont besoin d’être guidés de manière fiable dans leur pratique et les avancements en technologie sont là pour les aider. Dans ce projet, le […]

This proposed research will be held as part of the implementation of an online marketplace for smart assets, project that will be developed at Side Effects Software .The main objectives of this applied research project will be first, trying to predict the performance requirements. Second, estimating the set of queries that need to be performed. […]

This project is concerns the development of a real-time computational, probabilistic algorithm or artificial intelligence to predict when a scheduled job in a mobile workers job queue is at risk, given the type of jobs in the queue and the historical durations to complete them. In addition, consideration must be given to traffic patterns, and […]

Maritime situation analysis is critical for dynamic decision-making in responding to real-world situations. Rapidly unfolding situations that pose an imminent danger or threat to critical infrastructure or public safety require interactive decision-making to enable a swift response. The main objective of this project is to design a robust methodical framework for the development of intelligent […]

Ethernet networks are typically best effort networks where traffic flows may contribute on creating network congestion and lead the switches to start dropping packets randomly. This results in unstable network latency that some applications cannot tolerate, especially in the context of 5G networks where delay constraints are very tight. The proposed research project aims at […]

XNA (Xbox New Architecture) allows independent game/digital-media content developers to build, deploy, and publish games on the Xbox360 and PC platforms. The technical objective of this project is to bridge Vicon MOCAP technology with XNA to allow for Real Time Visualization of Motion Capture data on the PC and Xbox360 platforms using XNA.The Vicon Real-time […]

Frequent usage patterns generated can provide valuable information for several applications such as platform restructuring and recommendation. In this project, we aim to compare different practical methods, and to investigate the effect of user identity and user intention information on them. To that end, a technique and a framework need to be developed, in which […]

This infrastructure will allow new servers to be automatically deployed and configured for use as private game servers, while also monitoring their performance and usage statistics. By using the novel predictive models, which are to be developed in this proposed project, new virtual servers will be automatically created and added when the traffic levels require […]

Web computing, in which the world-wide web is itself employed as a distributed computing platform, is entering a stage of rapid expansion with the advent of Open Web Platform so that programs that once worked only a native environment on desktop, tablets or phones can now work from within a browser itself. There is therefore […]

The purpose of this project is to develop a highly accurate e-commerce recommender system able to select products across databases and recommend them to prospective customers both in real-time and off-line. Leveraging the historical inventory of sold products, browsing history, purchase history, and expressed preferences helps the recommender to formulate highly accurate product suggestions to […]

I am to import ten year’s worth of amassed historical data on news events, price movement of equities and public sentiment metrics to Microsoft Azure platform for study and analysis through the latest Data Mining techniques with an Economics point of view to uncover the hidden correlation and casualty between events and price movement of […]