Mike Barnes
Electrical and Electronic Engineering · 2002–2019
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 19 citations into it
Whom Mike Barnes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mike Barnes's perspective
Ordered by how strongly the researchers Mike Barnes trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet Large Scale Visual Recognition Challenge
- An innovative modular multilevel converter topology suitable for a wide power range (2003 IEEE Bologna Power Tech Conference Proceedings,)
- Learning representations by back-propagating errors
- Dynamic performance of a modular multilevel back-to-back HVDC system (IEEE Power & Energy Society General Meeting)
- VSC-HVDC Transmission with Cascaded Two-Level Converters
- Scikit-learn: Machine Learning in Python
- Deep Learning
- Efficient Modeling of Modular Multilevel HVDC Converters (MMC) on Electromagnetic Transient Simulation Programs (IEEE Transactions on Power Delivery)
- Detailed and Averaged Models for a 401-Level MMC–HVDC System (IEEE Transactions on Power Delivery)
- Multilayer feedforward networks are universal approximators
Their papers
- Real-World MicroGrids-An Overview (2007) — 358 citations
- The Impact of Transport Electrification on Electrical Networks (2010) — 298 citations
- Power Flow Algorithms for Multi-Terminal VSC-HVDC With Droop Control (2014) — 270 citations
- Machine learning methods for wind turbine condition monitoring: A review (2019) — 704 citations
- Control of a Battery Supported Dynamic Voltage Restorer (2002) — 133 citations
- Analysis of Active Power Control for VSC–HVDC (2014) — 143 citations