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We have 84 neural networks PhD Projects, Programmes & Scholarships

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neural networks PhD Projects, Programmes & Scholarships

We have 84 neural networks PhD Projects, Programmes & Scholarships

Novel Methods for the Characterisation of Helicopter Aero-acoustics PhD

Cranfield University has been at the forefront of rotorcraft research for the last 13 years, having an established track record on rotorcraft modelling, performance, aero-mechanics, and aero-acoustics. Read more

Chess as a platform for inherently interpretable AI research [SELF-FUNDED STUDENTS ONLY]

About the Project. The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

Chess as a platform for inherently interpretable AI research

About the Project. The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

Argumentative Machine Learning

Project description. AI has made significant progress in recent years and has become a part of our daily lives, for instance in the form of virtual assistants, smart homes, and advanced driver assistant systems in cars. Read more

Machine Learning and Domain Decomposition methods for Fluid Dynamics

Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more

Advancing Deep Learning (DL) Techniques for Medical Image Analysis

Introduction.  . Lately, convolutional neural networks (CNNs) have demonstrated competitive performance in medical image analysis tasks, such as disease classification, tumor segmentation, and lesion detection [1]. Read more

Data-Driven Computational Sensing and Imaging

Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. Read more

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