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In this project, a completely different model of computing will be investigated to replace the sequential paradigm of algorithms with inherent parallelism of physical processes that enforce a system
Perfluoroalkyl substances, or PFAS are a group of man-made chemicals that are manufactured and used in a variety of industries around the world (e.g. textiles, household products, food processing,
This research will use some of the current HIV biomedical interventions to explore the effects of different modelling frameworks on the model’s mathematical properties and prediction capabilities.
The Centre for Data Science is offering a project applying Data Science Technology to better understand and improve the teaching of programming.
This project will investigate and seek to innovate a novel collaborative cognitive radio approach between a multi-learning intelligent agent system.
CDS is offering a new project applying Machine Learning Technology to improve a key algorithm of Computer Algebra Systems.
Investigation into Selective Catalyst Reduction spray formulation and use of various liquid reductants
Studies assume that all the reductant is evaporated at the entry of the SCR domain because of the long mixing length, but this may not be the case in the close-coupled system with a much shorter
The Research Centre for Data Science (CDS) is offering a self-funded PhD opportunity titled 'Index Modulation using Reversed Source Coding Techniques'.
Coventry University (CU) is inviting applications from suitably-qualified graduates for a self-funded PhD studentship
Effectiveness of the Maximum Satisfiability formulation of the set covering problem and its variants
The Maximum Satisfiability (MaxSAT) problem is to determine the maximum number of clauses from a given Boolean formula in conjunctive normal form that can be made true by an assignment to the
The thesis consists of studying lattice models for polymers in solution. These models consist of self-avoiding random walks with constraints and interactions which mimic the behaviour of the monomer
The proposer has developed a new concept of embedding machine learning methods into image filter algorithms, which could dramatically improve the accuracy and efficiency of real-time detection and
Novel Hybrid Wind and Wave Energy System and Its Structural Dynamic Responses Subjected to Combined Wind and Wave Loads
This project aims to combine the benefits of both offshore wind and wave technologies and propose solutions for their further development through developing a novel multifunctional platform.
This project will make inroads to achieve a better understanding of the wetting nature of laser surface engineered materials exhibiting a mixed-state wetting regime and will add to the current work
The Research Centre for Data Science (CDS) provides a hub to develop cutting edge research in the areas of Artificial Intelligence, Data Science, Future Computing Technologies and Statistical and
The main focus of this PhD work will be to propose novel techniques for maximum power point tracking in harsh conditions that are theoretically elegant while at the same time practically useful.