Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject graph theory
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 15-Apr-2025 | An early-warning risk signals framework to capture systematic risk in financial markets | Ciciretti, V; Nandy, M; Pallotta, A; Lodh, S; Senyo, PK; Kartasova, J |
| 29-Nov-2023 | Efficient Autonomous Path Planning for Ultrasonic Non-Destructive Testing: A Graph Theory and K-Dimensional Tree Optimisation Approach | Zhang, M; Sutcliffe, M; Nicholson, PI; Yang, Q |
| 18-Sep-2024 | Emotion Recognition Using EEG Signals through the Design of a Dry Electrode Based on the Combination of Type 2 Fuzzy Sets and Deep Convolutional Graph Networks | Mounesi Rad, S; Danishvar, S |
| 4-Aug-2025 | Improved Automatic Deep Model for Automatic Detection of Movement Intention from EEG Signals | Zare Lahijan, L; Meshgini, S; Afrouzian, R; Danishvar, S |
| 11-Jan-2021 | Network analysis of competitive state anxiety | Mullen, R; Jones, ES |