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We have 11 Artificial Intelligence (data mining) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (data mining) PhD Projects, Programmes & Scholarships

We have 11 Artificial Intelligence (data mining) PhD Projects, Programmes & Scholarships

Forensic storage carving using AI

In computer forensics, investigators need to be able to analyse storage devices. Storage devices tend to store information in blocks, and the arrangement of blocks in a certain order is the thing which represents a data object. Read more

Model Predictive Control for Autonomous Vehicles and Robots [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots

  Research Group: Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Read more

Model Predictive Control for Autonomous Vehicles and Robots [Self Funded Students Only]

Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more

Explainable, Ethical, Green Artificial Intelligence

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

Advancing the state of the art in Argument Mining

Argument mining is the automatic identification and extraction of argumentative structure from within real world textual resources such as Web pages, Internet discourse, legal documents, or newspaper articles. Read more
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