activity
20212026
most citedMirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2026

Real-Time Location-Aware Demand-Shaping for Power-Constrained AC Railway Corridors

Marton Laszlo Ambrus, Xiao Liu, Stuart Hillmansen +1

Power-constrained 25kV AC railway sections, particularly under degraded feeding, are protected today by blunt, section-wide power limits that penalise every train irrespective of w…

eess.SY2026

Estimating Available Traction Power in Multi-Train AC Railway Networks from a Distance-Dependent Power Envelope

Marton Laszlo Ambrus, Xiao Liu, Stuart Hillmansen +1

Decarbonisation is raising the electrical load on mainline alternating-current railway feeders that were not designed for sustained, simultaneous high-power demand. When several tr…

eess.SY2026

Algorithmic Energy Management in Constrained Railway Traction Networks: A Systematic Review

Marton Laszlo Ambrus, Stuart Hillmansen, Zhongbei Tian

Decarbonising heavy-duty railway networks requires maximising the capacity of existing electrical infrastructure. Integrating heavy freight alongside fast passenger services expose…

cs.CV2022★ 6 cited

Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model

Fengze Li, Jieming Ma, Zhongbei Tian +4

Mirrors can degrade the performance of computer vision models, but research into detecting them is in the preliminary phase. YOLOv4 achieves phenomenal results in terms of object d…

eess.SY2021

Convex Optimization of Speed and Energy Management System for Fuel Cell Hybrid Trains

Rabee Jibrin, Stuart Hillmansen, Clive Roberts +2

We look into minimizing the hydrogen fuel consumption of hydrogen hybrid trains by optimizing their operation. The powertrain considered is a fuel cell charge-sustaining hybrid. Co…