Browsing AUS Theses & Dissertations by Subject "Machine learning"
Now showing items 1-9 of 9
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Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems
(2021-11)The electronic nose, commonly known as the E-nose that combines gas sensor arrays (GSAs) with machine learning, has gained a strong foothold in gas sensing technology. The E-nose, inspired from the human olfactory system, ... -
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
(2020-04)Genuineness of smiles is one aspect of the field of deception recognition, one that is prevalent in myriad social situations, and it is not easy to tell when a person’s smile is genuine or not for the average person. Machine ... -
Enhanced Water Network Leak Detection Methods
(2021-04)Water is an essential element and source of life. It is considered a scarce element that goes through several procedures for it be consumable. Once the water is treated and is deemed potable or clean, it is then distributed ... -
FPGA-Based Network Traffic Classification Using Machine Learning
(2019-11)Traffic classification is the process of associating network traffic with the application or group of applications that generated it. It is an essential part of network management at datacentres and network operators due ... -
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
(2017-05)The High Efficiency Video Coding (HEVC) standard presents a substantial video compression efficiency improvement at the expense of increasing the computational complexity. This enhancement is primarily due to the introduction ... -
Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques
(2014-06)Diabetes is a chronic disease that needs continuous blood glucose monitoring and self-management. The improper control of blood glucose levels in diabetic patients can lead to serious complications such as kidney and heart ... -
Semi-supervised Clustering of Facial Expressions
(2017-11)Automated facial expressions recognition (FER) is an important area in computer vision and machine learning due to its eminent role in human-machine interaction. FER is key in building intelligent user interfaces, particularly ... -
Wearable Real-time Mental Stress Detector
(2022-11)