Browsing by Discipline
Now showing items 41-60 of 64
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Neural synergy in compact biomedical IoT devices: spintronic pathways for MEG-EEG integration and portability
(2023)The human brain, a marvel of nature, consists of intricate neural networks that have fascinated and perplexed the scientific community for generations. As scientists and researchers globally endeavour to unravel the ... -
New paradigms of distributed AI for improving 5G-based network systems performance
(2023)With the advent of 5G technology, there is an increasing need for efficient and effective machine learning techniques to support a wide range of applications, from smart cities to autonomous vehicles. The research question ... -
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 ... -
Optimization of hospital emergency department
(2021)This thesis is centered around the topic of emergency department(ED) optimization. Working in conjunction with the Thunder Bay Regional Health Sciences Centre a simulation model was developed to determine an optimal ... -
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 ... -
Preliminary identification and therapeutic support of depression in mental health using conversational AI
(2023)World Health Organization statistics indicate that one out of every eight people suffers from mental illness. Due to the fear of stigma and social discrimination, they start being resilient and end up going through ... -
Programming pedagogy in the age of accessible artificial intelligence
(2023)In recent years, new teaching opportunities have emerged as artificial intelligence has gained increasing attention in computational thinking education. However, to design effective pedagogy based on the present research ... -
Quantifying the impact of Twitter activity in political battlegrounds
(2022)It may be challenging to determine the reach of the information, how well it corresponds with the domain design, and how to utilize it as a communication medium when utilizing social media platforms, notably Twitter, to ... -
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 ... -
Semi-supervised framework for clustering and semantic segmentation
(2021)During the past couple of decades, machine learning and deep learning methods have achieved remarkable results in many real-world applications. However, it is difficult to develop and train these artificial intelligence ... -
Supporting the executability of R markdown files
(2024)R Markdown files are examples of literate programming documents that combine R code with results and explanations. Such dynamic documents are designed to execute easily and reproduce study results. However, little is ... -
Surface estimation from multi-modal tactile data
(2021)The increasing popularity of Robotic applications has seen use in healthcare, surgery, and as an industrial tool. These robots are expected to be able to make physical contact with the objects in the environment which ... -
Texture recognition from robotic tactile surface reconstruction: a reinforcement learning approach
(2023)The ability to handle objects and recognize them and their properties by touch is a crucial ability that humans have. Thanks to tactile sensing, robots can do something similar by perceiving specific physical characteristics ... -
Toward lightweight fusion of AI logic and EEG sensors to enable ultra edge-based EEG analytics on IoT devices
(2021)Electroencephalogram (EEG) analysis has garnered attention in the research domain due to its ability to detect various neural activities starting from brain seizures to a person’s concentration level. To make it more ... -
Towards a trustworthy data-driven clinical decision support system: breast cancer use-case
(2023)Artificial Intelligence (AI) research has emerged as a powerful tool for health-related applications. With the increasing shortage of radiologists and oncologists around the world, developing an end-to-end AI-based Clinical ... -
Towards designing AI-aided lightweight solutions for key challenges in sensing, communication and computing layers of IoT: smart health use-cases
(2021)The advent of the 5G and Beyond 5G (B5G) communication system, along with the proliferation of the Internet of Things (IoT) and Artificial Intelligence (AI), have started to evolve the vision of the smart world into a ... -
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 ...