Browsing by Discipline
Now showing items 61-70 of 70
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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 accessible healthcare: machine learning-enabled diagnosis of Alzheimer’s disease
(2024)Alzheimer’s disease poses a critical challenge to public health with an increasing prevalence among the aging population worldwide. The research question is whether machine learning-based solutions could be a reliable, ... -
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 ... -
User-centric clustering and pilot assignment in cell-free networks : a stochastic optimization approach
(2023)Current 5G networks, primarily built on the cellular massive MIMO physical layer technology, achieved significant improvement in spectral efficiency as compared to previous generations. Nevertheless, there is always an ... -
Using homophily to analyze and develop link prediction models with deep learning framework
(2021)Twitter is a prominent social networking platform where users’ short messages or “tweets” are often used for analysis. However, there has not been much attention paid to mining the medical professions, such as detecting ... -
Vapnik-Chervonenkis dimension in neural networks
(2023)This thesis aims to explore the potential of statistical concepts, specifically the Vapnik-Chervonenkis Dimension (VCD)[33], in optimizing neural networks. With the increasing use of neural networks in replacing human ... -
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 ...
