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Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

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Interactive-time Exploration, Querying, and Analysis of Large High-dimensional Datasets

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Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Optimising Redundancy in Distributed Sensor Networks

Dimensionality reduction of time-series data, and systems and devices that use the resultant embeddings

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

High-dimensional Data Cubes

High-dimensional Data Cubes

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Manifold Learning-Based Polynomial Chaos Expansions For High-Dimensional Surrogate Models

Information-driven transitions in projections of underdamped dynamics

Clouseau: Blockchain-based Data Integrity for HDFS Clusters

Optimising Redundancy in Distributed Sensor Networks

High-dimensional Data Cubes

High-dimensional Data Cubes

Clouseau: Blockchain-based Data Integrity for HDFS Clusters

Manifold Learning-Based Polynomial Chaos Expansions For High-Dimensional Surrogate Models

Dimensionality reduction of time-series data, and systems and devices that use the resultant embeddings

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Aggregation and Exploration of High-Dimensional Data Using the Sudokube Data Cube Engine

Information-driven transitions in projections of underdamped dynamics