Browsing by Discipline
Now showing items 1-20 of 58
-
3D GPU-based image reconstruction algorithm for the application in a clinical organ-targeted PET camera
(2022)Functional medical imaging is unique in its ability to visualize molecular interactions and pathways in the body. Organ-targeted Positron Emission Tomography (PET) is a functional imaging technique that has emerged to ... -
A classification study of rough sets generalization
(2004)In the development of rough set theory, many different interpretations and formulations have been proposed and studied. One can classify the studies of rough sets into algebraic and constructive approaches. While algebraic ... -
Access control scheme for partially ordered set hierarchy with provable security
(2005)In many multi-user information systems, the users are organized as a hierarchy. Each user is a subordinate, superior and/or coordinate of some others. In such systems, a user has access to the information if and only if ... -
Agent-based workflow model for enterprise collaboration
(2005)Workflow management system supports the automation of business processes where a collection of tasks is organized between participants according to a defined set of rules to accomplish some business goals. The ... -
The analysis of Canada's health through social media using machine learning
(2019)Real-time online data processing is quickly becoming an essential tool in the analysis of social media for political trends, advertising, public health awareness programs and policy making. Traditionally, processes ... -
The artificial facilitator: guiding participants in developing causal maps using voice-activated personal assistant
(2019)When it comes to any problem, their causes, and solutions, people often have very different perspectives, primarily due to the environment in which they were raised (culture, education, socio-economic status, and so ... -
Artificial intelligence empowered virtual network function deployment and service function chaining for next-generation networks
(2021)The entire Internet of Things (IoT) ecosystem is directing towards a high volume of diverse applications. From smart healthcare to smart cities, every ubiquitous digital sector provisions automation for an immersive ... -
Building a semantic blog support system for gene Learning Objects on Web 2.0 environment / by Wei Yuan.
(2008)Blogging has become a popular practice on Internet in recent years, and it has been used as information publishing and participate platforms. In recent years, a style of blog called 'semantic blogs' have been introduced ... -
Cache performance of chronological garbage collection
(1999)This thesis presents cache performance analysis of the Chronological Garbage Collection Algorithm used in LVM system. LVM is a new Logic Virtual Machine for Prolog. It adopts one stack policy for all dynamic memory ... -
Congestion control enhancement over wireless networks
(2019)In this thesis, we analyze the performance of wireless LAN networks subject to random loss. In this regard, we use a congestion control technique that has been introduced in a previous study, titled TCP Congestion Control ... -
Data preparation & model development for text simplification
(2021)Text simplification (TS), defined narrowly, is the process of reducing the linguistic complexity of a text, while still retaining the original information and meaning. More broadly, text simplification encompasses other ... -
Data-driven traversability estimation for mobile robot navigation
(2021)Mobile robots have a promising application prospect as they can assist or replace humans to perform laborious, repetitive or dangerous tasks in various scenarios. There has been a large number of studies for mobile robot ... -
Database anonymization and protections of sensitive attributes
(2008)The importance of database anonymization has become increasingly critical for organizations that publish their database to the public. Current security measures for anonymization poses different manner of drawbacks. ... -
Deep learning based image super resolution
(2021)Image super resolution is one of the most significant computer vision researches aiming to reconstruct high resolution images with realistic details from low resolution images. In the past years, a number of traditional ... -
Design, development and usability evaluation of social system interface and development of computational model
(2021)In recent times, methods of computational intelligence (CI) that aim to solve real-life problems are developed by computer science researchers in collaboration with domain experts. There has also been an increased emphasis ... -
Designing a secure ubiquitous mammography consultation system
(2004)This thesis attempts to design and develop a prototype for mammography image consultation that can work securely within a ubiquitous environment. Mammogram images differ largely from other type of images and it requires ... -
Developing a collaborative MOOC learning environment utilizing video sharing with discussion summarization as added-value
(2015-06-16)With the fast-growing Massive Open Online Courses (MOOC) community and the increase in the number of Learning Management Systems (LMSs) available online, the amount of shared information is massive. Current LMS - in ... -
Developing a generic academia mobile sport messaging system using the notion of design patterns
(2005)Designing reusable applications is vital area of research. Design patterns are an innovative notion that promotes reusability. This thesis attempts to develop generic and reusable Short Messaging Systems that can be used ... -
Developing machine learning coding similarity indicators for C & C++ corpora
(2020)The digital data in this modern world is vulnerable to copying, altering and claiming someone else’s work as their own. Performing the same activity in programming assignments can be referred to as source-code theft or ... -
Development of a language model and opinion extraction for text analysis of online platforms
(2021)Language models are one of the fundamental components in a wide variety of natural language processing tasks. The proliferation of text data over the last two decades and the developments in the field of deep learning ...
