All Outputs (5)

A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition (2023)
Preprint / Working Paper
Fletcher, P. A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition

I introduce a formalism for representing the syntax of recursively structured graph-like patterns. It does not use production rules, like a conventional graph grammar, but represents the syntactic structure in a more direct and declarative way. The g... Read More about A New Graph Grammar Formalism for Robust Syntactic Pattern Recognition.

Federated Learning for Short-term Residential Energy Demand Forecasting (2021)
Preprint / Working Paper
Fan. Federated Learning for Short-term Residential Energy Demand Forecasting

Energy demand forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart... Read More about Federated Learning for Short-term Residential Energy Demand Forecasting.

Virtual Parts Repository 2: Model-driven design of genetic regulatory circuits (2021)
Preprint / Working Paper
Misirli. (2021). Virtual Parts Repository 2: Model-driven design of genetic regulatory circuits

<jats:title>Abstract</jats:title><jats:p>Engineering genetic regulatory circuits is key to the creation of biological applications that are responsive to environmental changes. Computational models can assist in understanding especially large and com... Read More about Virtual Parts Repository 2: Model-driven design of genetic regulatory circuits.

Black hole inconsistencies? (2020)
Preprint / Working Paper
Austin, J. Black hole inconsistencies?

For large enough astrophysical objects, internal pressures are insufficient to prevent gravitational collapse to sizes smaller than a critical radius where the magnitude of escape velocity is equal to the speed of light. In coordinates natural for di... Read More about Black hole inconsistencies?.

Cyber Risk in IoT Systems (2019)
Preprint / Working Paper
Radanliev, P., De Roure, D. C., Maple, C., Nurse, J. R., Nicolescu, R., & Ani, U. Cyber Risk in IoT Systems

In this paper we present an understanding of cyber risks in the Internet of Things (IoT), we explain why it is important to understand what IoT cyber risks are and how we can use risk assessment and risk management approaches to deal with these chall... Read More about Cyber Risk in IoT Systems.