activity
20052026
most citedThe High-Resolution Coronal Imager, Flight 2.1

69 citations · 218 across the 30 of their papers we have counts for

collaborators

32 papers

math.OC2026

Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture

Wentao Zeng, Zijian Huang, Yiming Bie +2

Dual-source trolleybuses alternate between overhead catenary supply and on-board battery operation, creating energy-use patterns driven by route attributes, high-frequency trajecto…

physics.ed-ph2026

Diversity, Equity and Inclusivity in the Australian and New Zealand Medical Physics Workforce

Emily Simpson-Page, Megan Anderson, Scott B. Crowe +4

The consideration of diversity, equity and inclusivity (DEI) is an important part of promoting a robust and respectful workforce, and is critical to the continued success of organi…

physics.med-ph2026

Characteristics of a 9 MeV electron beam for total skin electron radiotherapy evaluated in comparison to a 6 MeV electron beam

Tanya Kairn, Craig M. Lancaster, Scott B. Crowe

Characteristics of a 9 MeV electron beam were investigated, to evaluate potential benefits for patients with extensive mycosis fungoides lesions that are deeper than commonly treat…

cs.HC2026

Revising Bloom's Taxonomy for Dual-Mode Cognition in Human-AI Systems: The Augmented Cognition Framework

Kayode P. Ayodele, Enoruwa Obayiuwana, Aderonke R. Lawal +3

As artificial intelligence (AI) models become routinely integrated into knowledge work, cognitive acts increasingly occur in two distinct modes: individually, using biological reso…

cs.CV2025

Generative Image Restoration and Super-Resolution using Physics-Informed Synthetic Data for Scanning Tunneling Microscopy

Nikola L. Kolev, Tommaso Rodani, Neil J. Curson +2

Scanning tunnelling microscopy (STM) enables atomic-resolution imaging and atom manipulation, but its utility is often limited by tip degradation and slow serial data acquisition.…

cs.LG2025

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems

Qiyue Chen, Shaolin Tan, Suixiang Gao +1

Graph neural networks (GNNs) have shown promising performance in solving both Boolean satisfiability (SAT) and Maximum Satisfiability (MaxSAT) problems due to their ability to effi…