Browsing by Discipline
Now showing items 1-17 of 17
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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 ... -
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 ... -
Elastic-based multi-scale graph drawing
(2012-11-10)Graph drawing is an important information visualization technique with applications in a variety of disciplines, including VLSI design, bioinformatics, geography, and social network analysis. We present a new force-directed, ... -
An enhanced passkey entry protocol for secure simple pairing in bluetooth
(2020)Bluetooth devices are being used very extensively in today's world. From simple wireless headsets to maintaining an entire home network, the Bluetooth technology is used everywhere. However, there are still vulnerabilities ... -
Extracting specific text from documents using machine learning algorithms
(2018)Increasing use of Portable Document Format (PDF) files has promoted research in analyzing the files' layout for text extraction purpose. For this reason, it is important to have a system in place to analyze these documents ... -
Feature learning boosts network performance
(2020)Features are an important part of machine learning. Features are often the reduced-dimensional representation of input data, feature calculation, extraction, and fusion directly affect the final result of the network. ... -
From social media to expert reports: automatically validating and extending complex conceptual models using machine learning approaches
(2019)Given the importance of developing accurate models of any complex system, the modeling process often seeks to be comprehensive by including experts and community members. While many qualitative modeling processes can ... -
Identifying variables affecting students' academic performance among engineering students
(2018)An essential consideration for campus administrators and faculty members is that students complete their degree with good academic grades. Being able to predict factors affecting students performance is necessary to help ... -
Online sequential learning with non-iterative strategy for feature extraction, classification and data augmentation
(2020)Network aims to optimize for minimizing the cost function and provide better performance. This experimental optimization procedure is widely recognized as gradient descent, which is a form of iterative learning that starts ... -
Permissioned blockchains for real world applications
(2020)Blockchain technology, even though relatively new, has evolved rapidly in the past 12 years. Bitcoin’s underlying technology - the first blockchain - was a public, permissionless, and completely decentralized network ... -
Placements of virtual network functions for effective network functions virtualization
(2019)In the future wireless networks, network function virtualization will lay the foun- dation for establishing a new resource management framework to e ciently utilize network resources. The rst part of this thesis deals ... -
A role and attribute based encryption approach to privacy and security in cloud based health services
(2012-11-10)Cloud computing is a rapidly emerging computing paradigm which replaces static and expensive data centers, network and software infrastructure with dynamically scalable “cloud based” services offered by third party providers ... -
Semantic similarity between words and sentences using lexical database and word embeddings
(2018)Calculating the semantic similarity between sentences is a long-standing problem in the area of natural language processing. The semantic analysis field has a crucial role to play in the research related to the text ... -
Towards machine learning enabled future-generation wireless network optimization
(2020)We anticipate that there will be an enormous amount of wireless devices connected to the Internet through the future-generation wireless networks. Those wireless devices vary from self-driving vehicles to smart wearable ... -
Use of semantic, syntactic and sentiment features to automate essay evaluation
Manual grading of essays by humans is time-consuming and likely to be susceptible to inconsistencies and inaccuracies. Mostly performed within an academic institution, the task at hand is to grade hundreds of submitted ... -
Wireless sensor network scheduling schemes
(2012-11-10)Wireless Sensor Network (WSN) consists of small sensing devices with constrained power and resources. It is widely used for environment monitoring. WSN usually works in hostile environments and performs critical tasks, for ...
