45 citations · 71 across the 9 of their papers we have counts for
10 papers
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Koorosh Aslansefat, Mojgan Hashemian, Martin Walker +3
Machine learning is currently undergoing an explosion in capability, popularity, and sophistication. However, one of the major barriers to widespread acceptance of machine learning…
Online Dynamic Reliability Evaluation of Wind Turbines based on Drone-assisted Monitoring
Sohag Kabir, Koorosh Aslansefat, Prosanta Gope +2
The offshore wind energy is increasingly becoming an attractive source of energy due to having lower environmental impact. Effective operation and maintenance that ensures the maxi…
A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms
Connor Walker, Callum Rothon, Koorosh Aslansefat +2
With an increasing emphasis on driving down the costs of Operations and Maintenance (O&M) in the Offshore Wind (OSW) sector, comes the requirement to explore new methodology and ap…
SafeDrones: Real-Time Reliability Evaluation of UAVs using Executable Digital Dependable Identities
Koorosh Aslansefat, Panagiota Nikolaou, Martin Walker +9
The use of Unmanned Arial Vehicles (UAVs) offers many advantages across a variety of applications. However, safety assurance is a key barrier to widespread usage, especially given…
DEIS: Dependability Engineering Innovation for Industrial CPS
Erik Armengaud, Georg Macher, Alexander Massoner +15
The open and cooperative nature of Cyber-Physical Systems (CPS) poses new challenges in assuring dependability. The DEIS project (Dependability Engineering Innovation for automotiv…
WAP: Digital Dependability Identities
Daniel Schneider, Mario Trapp, Yiannis Papadopoulos +3
Cyber-Physical Systems (CPS) provide enormous potential for innovation but a precondition for this is that the issue of dependability has been addressed. This paper presents the co…
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference Measure
Koorosh Aslansefat, Ioannis Sorokos, Declan Whiting +2
Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditi…
Failure Mode Reasoning in Model Based Safety Analysis
Hamid Jahanian, David Parker, Marc Zeller +2
Failure Mode Reasoning (FMR) is a novel approach for analyzing failure in a Safety Instrumented System (SIS). The method uses an automatic analysis of an SIS program to calculate p…
PeSOA: Penguins Search Optimisation Algorithm for Global Optimisation Problems
Youcef Gheraibia, Abdelouahab Moussaoui, Peng-Yeng Yin +2
This paper develops Penguin search Optimisation Algorithm (PeSOA), a new metaheuristic algorithm which is inspired by the foraging behaviours of penguins. A population of penguins…
A First Option Calibration of the GARCH Diffusion Model by a PDE Method
Yiannis A. Papadopoulos, Alan L. Lewis
Time-series calibrations often suggest that the GARCH diffusion model could also be a suitable candidate for option (risk-neutral) calibration. But unlike the popular Heston model,…