Samuel Jackson
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View article: Advanced techniques for fusion data visualisation
Advanced techniques for fusion data visualisation Open
The research and development of fusion energy technology is becoming increasingly complex and involving large amounts of diverse data like engineering CAD models, multi-physics simulations, and AI-based diagnostics. Such diversity and mult…
View article: Tensor-variate Gaussian process regression for efficient emulation of complex systems: comparing regressor and covariance structures in outer product and parallel partial emulators
Tensor-variate Gaussian process regression for efficient emulation of complex systems: comparing regressor and covariance structures in outer product and parallel partial emulators Open
Multi-output Gaussian process regression has become an important tool in uncertainty quantification, for building emulators of computationally expensive simulators, and other areas such as multi-task machine learning. We present a holistic…
View article: FAIR-MAST: A fusion device data management system
FAIR-MAST: A fusion device data management system Open
We are introducing FAIR-MAST, a data management system designed for historical diagnostic data from the Mega Ampere Spherical Tokamak (MAST) fusion experiments. Following the FAIR (findability, accessibility, interoperability, and re-usabi…
View article: Streaming Technologies and Serialization Protocols: Empirical Performance Analysis
Streaming Technologies and Serialization Protocols: Empirical Performance Analysis Open
Efficient data streaming is essential for real-time data analytics, visualization, and machine learning model training, particularly when dealing with high-volume datasets. Various streaming technologies and serialization protocols have be…
View article: Streaming Technologies and Serialization Protocols: Empirical Performance Analysis
Streaming Technologies and Serialization Protocols: Empirical Performance Analysis Open
Efficient data streaming is essential for real-time data analytics, visualization, and machine learning model training, particularly when dealing with high-volume datasets. Various streaming technologies and serialization protocols have be…
View article: MLCommons Cloud Masking Benchmark with Early Stopping
MLCommons Cloud Masking Benchmark with Early Stopping Open
In this paper, we report on work performed for the MLCommons Science Working Group on the cloud masking benchmark. MLCommons is a consortium that develops and maintains several scientific benchmarks that aim to benefit developments in AI. …
View article: Sample data FRPPIXEL
Sample data FRPPIXEL Open
Sample data containing some 8080 fires from September 1st, 2020 extracted from EUMESAT Surface Analysis, Satellite Application Facility on Land Surface Analysis (LSA SAF) fire database.
View article: Sample data FRPPIXEL
Sample data FRPPIXEL Open
Sample data containing some 8080 fires from September 1st, 2020 extracted from EUMESAT Surface Analysis, Satellite Application Facility on Land Surface Analysis (LSA SAF) fire database.
View article: A Machine Learning Approach to Cloud Masking in Sentinel-3 SLSTR Data
A Machine Learning Approach to Cloud Masking in Sentinel-3 SLSTR Data Open
<p><span>Clouds appear ubiquitously in the Earth's atmosphere, and thus present a persistent problem for the accurate retrieval of remotely sensed information. The task of identifying which pixels are cloud, and which are not, …
View article: Machine Learning for Cloud Masking
Machine Learning for Cloud Masking Open
<p>As the importance of satellite readings grows in fields as varied as meteorology, urban planning and climate change science so has the importance of satellite reading accuracy. This has in turn lead to an increased need for accura…
View article: Machine learning and big scientific data
Machine learning and big scientific data Open
This paper reviews some of the challenges posed by the huge growth of experimental data generated by the new generation of large-scale experiments at UK national facilities at the Rutherford Appleton Laboratory (RAL) site at Harwell near O…
View article: Using Bayes Linear Emulators to Analyse Networks of Simulators
Using Bayes Linear Emulators to Analyse Networks of Simulators Open
The key dynamics of processes within physical systems are often represented in the form of computer models, or simulators. Often, the overarching system of interest, comprising of multiple processes, may be represented as a network of simu…
View article: Bayes Linear Emulation of Simulator Networks
Bayes Linear Emulation of Simulator Networks Open
Computationally expensive simulators, implementing mathematical models in computer codes, are commonly approximated using statistical emulators. We develop and assess novel emulation methods for systems best modelled via a chain, series or…
View article: Nucleus Isthmi Is Required to Sustain Target Pursuit during Visually Guided Prey-Catching
Nucleus Isthmi Is Required to Sustain Target Pursuit during Visually Guided Prey-Catching Open
Animals must frequently perform a sequence of behaviors to achieve a specific goal. However, the neural mechanisms that promote the continuation and completion of such action sequences are not well understood. Here, we characterize the ana…
View article: Comparison between density functional theory and density functional tight binding approaches for finding the muon stopping site in organic molecular crystals
Comparison between density functional theory and density functional tight binding approaches for finding the muon stopping site in organic molecular crystals Open
Finding the possible stopping sites for muons inside a crystalline sample is a key problem of muon spectroscopy. In a previous study, we suggested a computational approach to this problem when dealing with muonium, the pseudoatom formed by…
View article: State anxiety and information processing: a 7.5% carbon dioxide challenge study
State anxiety and information processing: a 7.5% carbon dioxide challenge study Open
We used the 7.5% carbon dioxide model of anxiety induction to investigate the effects of state anxiety on simple information processing. In both high and low anxious states participants completed an auditory/visual matching task and a visu…
View article: The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data.
The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data. Open
It is well established in the literature that certain disease-associated gene signatures can be identified as a source for predicting the classification of samples or cell lines into diagnostic groups – for example, healthy and diseased. U…
View article: A summer with genes : simple disease classification from microarray data.
A summer with genes : simple disease classification from microarray data. Open
In this article we report on the work carried out within the framework of a summer project, part-funded by an IMA small grant, in which an undergraduate student (the second author of this manuscript) developed and implemented methodology f…