Are we alone? Discovering Earth-like exoplanets with Conformal Prediction (available)

Billions of exoplanets are orbiting around their stars outside our solar system [1]. But are they similar enough to our Earth so that life may have developed there? Often you can answer this question if you know the planet’s mass, radius, and orbiting period. Given the astronomic distances between us and the planets, however, you … full description “Are we alone? Discovering Earth-like exoplanets with Conformal Prediction (available)”

Deep learning based underwater image enhancement and object recognition (available)

In the past decade, advances in marine object recognition have been dramatically boosted for monitoring of underwater ecosystems. Traditional statistical analysis and ocean model simulation heavily depend on the availability of visual features. However, Due to light attenuation and scattering problem, the underwater images captured by optical imaging system are heavily degraded. As a result, … full description “Deep learning based underwater image enhancement and object recognition (available)”

Deep Learning-based Environmental Sound Classification (available)

Automatic sound classification attracts increasing research attention owing to its vast applications, such as robot navigation, environmental sensing, musical instrument classification, medical diagnosis, and surveillance. Sound classification tasks involve the extraction of acoustic characteristics from the audio signals and the subsequent identification of different sound classes. The broad range of sound classification deployments can be … full description “Deep Learning-based Environmental Sound Classification (available)”

Interactive Visualisation of Disentangled Representations (completed)

This project aims to develop an interactive visualisation toolkit based on existing technologies (IPython & Plotly) that will assist researchers in debugging and understanding complex models in the area of representation learning. Representation learning is a sub-field of machine learning that focuses on developing techniques for representing objects that exist in high-dimensional space (e.g. faces … full description “Interactive Visualisation of Disentangled Representations (completed)”

Jupyter notebooks (available)

  Prerequisites: experience with Python (useful) and Javascriptprogramming (essential). It may be useful to be willing to learn aboutfunctional programming (but this is not essential). Jupyter notebooks [1] are examples of literate programming [2] wherecode and outputs from the code as well as documentation are in the sameapplication. Jupyter allows the user to run code … full description “Jupyter notebooks (available)”

Minimal Ontological Model Discovery (available)

Why is quantum theory more efficient in describing the small-scale world? The answer may be hidden in the structure of the large data acquired in quantum experiments. All we obtain in experimenting on a quantum system, e.g. quantum computers, is a large dataset of probabilities (called a MOP), p(k|M,P), showing the probability of outcome k … full description “Minimal Ontological Model Discovery (available)”

National cultures and security behaviours (available)

National culture, namely, the culture in a given country, can be broken down into specific variables. These variables define and influence social norms and behaviours of a society and its individuals. However, they also influence cyber security related perceptions and behaviours. Ans indicative and well-known approach on national cultures is the one by Hofstede, where … full description “National cultures and security behaviours (available)”