O. Schmid

Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis

Lee Lancashire, O. Schmid, H. Shah et al. · Computer applications in the biosciences · 2005 · 65 citations

Dynamic fuel cell stack model for real-time simulation based on system identification

Markus Meiler, O. Schmid, M. Schudy et al. · Journal of Power Sources · 2007 · 53 citations

Nonlinear System Identification, Co-simulation, Engineering +8

Matrix‐Assisted Laser Desorption/Ionization Time‐of‐Flight Mass Spectrometry and Proteomics: A New Era in Anaerobic Microbiology

Haroun N. Shah, Carrina J. Keys, O. Schmid et al. · Clinical Infectious Diseases · 2002 · 53 citations · Full text

Engineering, Anaerobic Microbiology, Biological Mass Spectrometry +18

New approaches to identification of bacterial pathogens by surface enhanced laser desorption/ionization time of flight mass spectrometry in concert with artificial neural networks, with special reference to Neisseria gonorrhoeae

O. Schmid, Graham Ball, Lee Lancashire et al. · Journal of Medical Microbiology · 2005 · 31 citations

Flight Mass Spectrometry, Health Sciences, Pathogen Detection +12

Reliability computing of polymer-electrolyte-membrane fuel cell stacks through Petri nets

Christoph Martin Wieland, O. Schmid, Markus Meiler et al. · Journal of Power Sources · 2008 · 22 citations

Electrical Engineering, Reliability Engineering, Engineering +6