Computer Engineering
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A new automatic repeat request protocol based on Alamouti space-time block code over Rayleigh fading channels.
(2020)Spatial and multiplexing diversity of multiple-input multiple-output (MIMO) schemes improves link reliability and data rates of wireless networks. MIMO-based space-time block codes (STBCs) improve wireless network reliability ... -
Investigating machine and deep-learning model combinations for a two-stage IDS for IoT networks.
(2021)By 2025, there will be upwards of 75 billion IoT devices connected to the internet. Notable security incidents have shown that many IoT devices are insecure or misconfigured, leaving them vulnerable, often with devastating ... -
Candidate generation and validation techniques for pedestrian detection in thermal (infrared) surveillance videos.
(2022)Video surveillance systems have become prevalent. Factors responsible for this prevalence include, but are not limited to, rapid advancements in technology, reduction in the cost of surveillance systems and changes in ... -
Machine learning approach to thermite weld defects detection and classification.
(2021)The defects formed during the thermite welding process between two sections of rails require the welded joints to be inspected for quality purpose. The commonly used non-destructive method for inspection is Radiography ... -
Contributions into holistic human action recognition.
(2020)In this thesis we holistically investigate the interpretation of human actions in both still images and videos. Human action recognition is currently a research problem of great interest both in academia and industry due ... -
Error performance analysis of cross QAM and space-time labeling diversity for cross QAM.
(2019)Abstract available in the PDF -
Enhanced spectral efficiency schemes for space-time block coded spatial modulation.
(2019)The ever-growing demand for high data rate, low latency and energy efficient transmission schemes has seen an increasing popularity of multiple-input multiple-output (MIMO) scheme. One such scheme is the orthogonal space-time ... -
Correcting inter-sectional accuracy differences in drowsiness detection systems using generative adversarial networks (GANs)
(2020)oad accidents contribute to many injuries and deaths among the human population. There is substantial evidence that proves drowsiness is one of the most prominent causes of road accidents all over the world. This results ... -
Smart attendance monitoring system using computer vision.
(2019)Monitoring of student’s attendance remains the fundamental and vital part of any educational institution. The attendance of students to classes can have an impact on their academic performance. With the gradual increase ... -
Improvements of local directional pattern for texture classification.
(2017)The Local Directional Pattern (LDP) method has established its effectiveness and performance compared to the popular Local Binary Pattern (LBP) method in different applications. In this thesis, several extensions and ... -
Error performance analysis of n-ary Alamouti scheme with signal space diversity.
(2018)In this dissertation, a high-rate Alamouti scheme with Signal Space Diversity is developed to improve both the spectral efficiency and overall error performance in wireless communication links. This scheme uses high ... -
Gaussian mixture model classifiers for detection and tracking in UAV video streams.
(2017)Manual visual surveillance systems are subject to a high degree of human-error and operator fatigue. The automation of such systems often employs detectors, trackers and classifiers as fundamental building blocks. Detection, ... -
Feature regularization and learning for human activity recognition.
(2018)Feature extraction is an essential component in the design of human activity recognition model. However, relying on extracted features alone for learning often makes the model a suboptimal model. Therefore, this research work ... -
Hybrid generalized non-orthogonal multiple access for the 5G wireless networks.
(2018)The deployment of 5G networks will lead to an increase in capacity, spectral efficiency, low latency and massive connectivity for wireless networks. They will still face the challenges of resource and power optimization, ... -
Facial expression recognition using covariance matrix descriptors and local texture patterns.
(2017)Facial expression recognition (FER) is a powerful tool that is emerging rapidly due to increased computational power in current technologies. It has many applications in the fields of human-computer interaction, psychological ... -
Power-line insulator defect detection and classification.
(2018)Faulty insulators may compromise the electrical and mechanical integrity of a power delivery system, leading to leakage currents owing through line supports. This poses a risk to human safety and increases electrical ... -
Investigation of feature extraction algorithms and techniques for hyperspectral images.
(2017)Hyperspectral images (HSIs) are remote-sensed images that are characterized by very high spatial and spectral dimensions and nd applications, for example, in land cover classi cation, urban planning and management, ... -
Hybrid generalized non-orthogonal multiple access for the 5G wireless networks.
(2018)The deployment of 5G networks will lead to an increase in capacity, spectral efficiency, low latency and massive connectivity for wireless networks. They will still face the challenges of resource and power optimization, ... -
Using facial expression recognition for crowd monitoring.
(2017)In recent years, Crowd Monitoring techniques have attracted emerging interest in the eld of computer vision due to their ability to monitor groups of people in crowded areas, where conventional image processing methods ... -
Flat fingerprint classification using a rule-based technique, based on directional patterns and similar points.
(2016)Abstract available in PDF file.
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