326 citations
- Massachusetts Institute of TechnologyUS12 papers
- Rutherford Appleton LaboratoryGB10 papers
- University of ManchesterGB9 papers
- University of LiverpoolGB8 papers
- Princeton UniversityUS7 papers
- University of Notre DameUS7 papers
- University of Tennessee at KnoxvilleUS7 papers
- University of WarwickGB7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Imperial College LondonGB6 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR6 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FerraraIT6 papers
84 papers
Two-photon dual-comb LiDAR imaging
Alexander J. M. Nelmes, Simon Fletcher, Andrew Longstaff +3
Conventional LiDAR uses time-of-flight data from laser pulses scanned across a scene to provide accurate multi-meter-scale three-dimensional models at cm precision, limited by the…
A CASP-based Solution for Traffic Signal Optimisation
Alice Tarzariol, Marco Maratea, Mauro Vallati
In the context of urban traffic control, traffic signal optimisation is the problem of determining the optimal green length for each signal in a set of traffic signals. The literat…
Surface Material Dependence in Powder Triboelectric Charging
Tom F. O'Hara, Ellen Player, Graham Ackroyd +2
Triboelectric charging of granular materials against container walls is a critical yet poorly understood phenomenon affecting many industrial powder handling processes. Charge accu…
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments
Regan Bolton, Mohammadreza Sheikhfathollahi, Simon Parkinson +4
Safety critical software assessment requires robust assessment against complex regulatory frameworks, a process traditionally limited by manual evaluation. This paper presents Docu…
Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy
Regan Bolton, Mohammadreza Sheikhfathollahi, Simon Parkinson +2
Operational Technology Cybersecurity (OTCS) continues to be a dominant challenge for critical infrastructure such as railways. As these systems become increasingly vulnerable to ma…
What if? Causal Machine Learning in Supply Chain Risk Management
Mateusz Wyrembek, George Baryannis, Alexandra Brintrup
The penultimate goal for developing machine learning models in supply chain management is to make optimal interventions. However, most machine learning models identify correlations…