Search
Now showing items 1-10 of 10
A MOBILE SENSING APP FOR MENTAL HEALTH TO SUPPORT FEDERATED LEARNING
(2020-12-18)
Smartphones are used by half of the world population. More than 10,000 applications are targeted at Mental health. Available apps are limited in four major ways: One, most apps are designed for the Android platform, 80% ...
Applying Machine Learning Techniques to Lithium-ion Cell Research
(2021-03-08)
Progress in lithium-ion cells research is largely a matter of determining which aspect of the cell’s design and operation will lead to longer life, higher energy-density, and lower costs. These attributes can easily be ...
PREDICTING THE OUTCOME OF KIDNEY TRANSPLANTS USING MACHINE LEARNING METHODS
(2020-04-20)
The prediction of the survival of kidney grafts is based on the procedure of matching kidney donors and recipients. Machine learning can be effectively used to analyze the appropriate donor-recipient attributes from a ...
Providing Real-Valued Actions for Tangled Program Graphs Under the CartPole Benchmark
(2020-08-20)
The Tangled Program Graph framework (TPG) is a genetic programming approach to reinforcement learning. Canonical TPG is limited to performing discrete actions. This thesis investigates mechanisms by which TPG might perform ...
Machine Learning based Framework for User-Centered Insider Threat Detection
(2021-08-25)
Insider threat represents a major cyber-security challenge to companies, organizations, and government agencies. Harmful actions in insider threats are performed by authorized users in organizations. Due to the fact that ...
Exploring data leakage via supervised learning
(2020-04-20)
Data security includes but not limited to, data encryption, tokenization, and key management practices that protect data across all applications and platforms. In this thesis, I aim to explore whether any data leakage takes ...
SUPERVISED MACHINE/DEEP LEARNING TECHNIQUES – A CASE STUDY OF POWDERY MILDEW DETECTION ON THE STRAWBERRY LEAF
(2020-04-16)
This research proposed the algorithm, that can detect powdery mildew and give the highest classification accuracy (CA). Three image processing and two machine learning algorithms (artificial neural network; ANN and support ...
Automated Labour Detection Framework to Monitor Pregnant Women with a High Risk of Premature Labour
(2022-02-22)
It is estimated that more than 1 in 10 babies are born prematurely worldwide. Babies that survive premature birth are more likely to face lifelong health-related disabilities. By monitoring uterine contractions, labour can ...
Evaluating Common-Sense Reasoning in Pretrained Transformer-Based Language Models Using Adversarial Schemas and Consistency Metrics
(2023-04-14)
In artificial intelligence, common sense refers to simple acts of verbal reasoning. The Winograd Schema Challenge (WSC), an important test of common sense, was recently defeated by transformer-based language models. We ...
Validating a Meditation-based Mind Wandering BCI: A Pilot Study
(2023-09-06)
Brain-computer interfaces (BCI) have become a burgeoning field of research as computers become embedded in everyday life. Electroencephalography (EEG) is the preferred brain measurement device used in BCIs, though research- ...