output
20042026
most citedIn-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

176 citations

101 papers

cs.LO2026

Chess\_db: A framework for working with large chess game datasets

Nicos Angelopoulos, Jan Wielemaker

Chess is a two player strategic game that is embedded in classical AI culture as it was once the frontier for intelligent behaviour. There was the silent assumption that the advent…

eess.SY2026

From P&ID Drawings to Process Graphs: A Multimodal Language Model Approach

Baikai Zhu, Samuel Duong, Javal Vyas +1

Piping and instrumentation diagrams (P&IDs) encode the functional structure of process plants and are a critical yet underutilised source of engineering knowledge for digital twins…

eess.SY2026

Equivalent Circuit Modeling of Grid-Forming Inverters in (Sub)-Transient Time-Frame

Ambuj Gupta, Balarko Chaudhuri, Mark O'Malley

The widely accepted definition of grid-forming (GFM) inverter states that it should behave as a (nearly) constant voltage source behind an impedance by maintaining a (nearly) const…

cs.CL2025

Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation

Adam Dejl, James Barry, Alessandra Pascale +1

Despite demonstrating remarkable performance across a wide range of tasks, large language models (LLMs) have also been found to frequently produce outputs that are incomplete or se…

astro-ph.EP2025

Cometary ion dynamics at 67P: A collisional test-particle approach with Rosetta data comparison

Zoe Lewis, Peter Stephenson, Arnaud Beth +3

The Rosetta spacecraft escorted comet 67P/Churyumov-Gerasimenko for two years, gathering a rich and variable dataset. Amongst the data from the Rosetta Plasma Consortium (RPC) suit…

cs.CV2025★ 4 cited

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge

Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp +67

Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI an…