Browsing Computer Science by Title
Now showing items 32-51 of 83
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Fair allocation for transmission parameters to achieve scalability in LoRaWAN
LoRa and LoRaWAN are promising solutions for the upcoming challenges that the Internet of Things (IoT) presents. But even with the recent developments in LoRaWAN, there are still problems to overcome due to the scale of ... -
Functional network analysis of aging and Alzheimer's Disease
The human brain is an incredibly complex system, consisting of billions of neurons, interacting over trillions of synaptic connections. These interactions give us consciousness and intelligence, control our core functions, ... -
High-Performance and Wavelength-Reused Optical Network on Chip (ONoC) Architectures and Communication Schemes for Manycore Processor
Optical Network on Chip (ONoC) is an emerging chip-scale optical interconnection technology to realize the high-performance and power-efficient inter-core communication for many-core processors. By utilizing the silicon ... -
Human Face Detection with Support Vector Machines
The computer vision problem of face detection has over the years become a common high-requirements benchmark for machine learning methods. In the last decade, highly efficient face detection systems have been developed ... -
Improved Indexing & Search Throughput
Information retrieval is the process of finding relevant information in large corpora of documents based on user queries. Within the discipline there are a number of open research questions and areas. This thesis presents ... -
Improving Query Term Expansion With Machine Learning
Vocabulary mismatch is an impediment to responding to user queries with relevant results. Stemmers solve this problem by conflating terms with similar spellings. In this thesis we use machine learning to create a stemmer ... -
Improving the Quality of Experience of Over-the-top Video Delivery
The demand for over-the-top (OTT) video delivery (also known as video delivery over the Internet) is increasing rapidly. According to the statistics gathered by Cisco, IP video traffic will be 82% of all global IP traffic ... -
Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity.
Although neuroscientists have still not found a comprehensive mechanism to underlie learning and memory, many investigations suggest that long term potentiation (LTP) and long term depression (LTD) are involved in establishment ... -
Interactive visualisation tools for analysing NIR data
This paper describes a tool being developed to allow users to visualise the ripening characteristics of fruit. These characteristics, such as sugar, acid and moisture content, can be measured using non-destructive Near ... -
Intrinsic reward driven exploration for deep reinforcement learning
Deep reinforcement learning has become one of the hottest research topics in machine learning. In reinforcement learning, agents interact with the environment and try to maximise the expected cumulative reward. The goal ... -
Learning Gene Interactions and Networks from Perturbation Screens and Expression Data
We investigate a variety of methods to first discover and then understand genetic interactions. Beginning with pairwise interactions, we propose a method for inferring pairwise gene interactions en masse from short- ... -
Learning Hierarchical Sparse Filters for Feature Matching
A common problem in computer vision is to match corresponding points between images. The success of computer vision has usually relied on having good feature representations, which are usually hand-crafted and thus require ... -
Localisation and tracking of stationary users for extended reality
In this thesis, we investigate the topics of localisation and tracking in the context of Extended Reality. In many on-site or outdoor Augmented Reality (AR) applications, users are standing or sitting in one place and ... -
Modelling and Simulation of GeneRegulatory Networks: Segmentation genes of Honeybee (Apis mellifera) embryos
The developmental process involves interactions between thousands and thousands genes. The reasons why, where, and when the genes are expressed can be revealed in the topology of a Gene Regulatory Network (GRN). In this ... -
Modelling type-denoting concepts and words in a simulation of vocabulary development.
Luc Steels proposes a mechanism by which a community of agents is able to negotiate a common vocabulary for referring to objects in their environment, using two simple games. In a ‘discrimination game’, an agent equipped ... -
Neural network models for learning representations of 3D objects via tactile exploration
How does the brain learn the geometry of 3D objects? While the question has been explored for decades, it remains poorly understood. Most researchers considering this question focus on vision. However, infants first learn ... -
A Perceptual Basis for Noun Phrase Syntax
Human language is the result of both biological and cultural evolution. To have the best chance of understanding language we must seek all the constraints of that evolution. In the first part of my thesis I propose the ... -
Perspectives on belief and change
This thesis is about logical models of belief (and knowledge) representation and belief change. This means that we propose logical systems which are intended to represent how agents perceive a situation and reason about ... -
Physically exploring volume data using hand-held mobile hardware
Volume data is widely used in many different domains including medical imaging. The primary platform to visualize volume data is usually desktop hardware, while the use of hand-held mobile devices to browse volume data is ... -
Physics-Based Simulation of Canine Gait
For most animals, locomotion is essential for survival, and it is advantageous to do this efficiently and with minimal neural control. Research has shown that efficient walking is possible without control, resulting purely ...