Marco Sorrentino
2013
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Marco Sorrentino trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven X. Ding (in Control and Systems Engineering)
Papers from Marco Sorrentino's perspective
Ordered by how strongly the researchers Marco Sorrentino trusts endorse each paper. Same corpus, a different order for every researcher.
- Least Squares Support Vector Machine Classifiers
- Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools
- Study of PEM fuel cell performance by electrochemical impedance spectroscopy
- Neural networks for modelling and control of dynamic systems: M. Nørgaard, O. Ravn, N. K. Poulsen and L. K. Hansen. Springer-Verlag, London Berlin Heidelberg, 2000, pp. xiv+246
- A review on polymer electrolyte membrane fuel cell catalyst degradation and starvation issues: Causes, consequences and diagnostic for mitigation
- Model based PEM fuel cell state-of-health monitoring via ac impedance measurements
- Support-Vector Networks
- Pattern Recognition and Machine Learning
- Pattern classification and scene analysis
- Neural Networks: A Comprehensive Foundation
Their papers
- An integrated mathematical tool aimed at developing highly performing and cost-effective fuel cell hybrid vehicles (2013) — 48 citations
- A review on model-based diagnosis methodologies for PEMFCs (2013) — 306 citations