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Marco Seeland
Marco Seeland
Dr. rer. nat. in Physics, Senior Researcher, Technische Universität Ilmenau
Verified email at tu-ilmenau.de - Homepage
Title
Cited by
Cited by
Year
Automated plant species identification—Trends and future directions
J Wäldchen, M Rzanny, M Seeland, P Mäder
PLoS computational biology 14 (4), e1005993, 2018
3022018
Investigation of the degradation mechanisms of a variety of organic photovoltaic devices by combination of imaging techniques—the ISOS-3 inter-laboratory collaboration
R Rösch, DM Tanenbaum, M Jørgensen, M Seeland, M Bärenklau, ...
Energy & Environmental Science 5 (4), 6521-6540, 2012
1842012
An inter-laboratory stability study of roll-to-roll coated flexible polymer solar modules
SA Gevorgyan, AJ Medford, E Bundgaard, SB Sapkota, ...
Solar Energy Materials and Solar Cells 95 (5), 1398-1416, 2011
1642011
Multi-view classification with convolutional neural networks
M Seeland, P Mäder
Plos one 16 (1), e0245230, 2021
1022021
Plant species classification using flower images—A comparative study of local feature representations
M Seeland, M Rzanny, N Alaqraa, J Wäldchen, P Mäder
PloS one 12 (2), e0170629, 2017
1022017
Luminescence imaging of polymer solar cells: Visualization of progressing degradation
M Seeland, R Rösch, H Hoppe
Journal of Applied Physics 109 (6), 2011
872011
Water ingress into and climate dependent lifetime of organic photovoltaic cells investigated by calcium corrosion tests
H Klumbies, M Karl, M Hermenau, R Rösch, M Seeland, H Hoppe, ...
Solar energy materials and solar cells 120, 685-690, 2014
712014
Acquiring and preprocessing leaf images for automated plant identification: understanding the tradeoff between effort and information gain
M Rzanny, M Seeland, J Wäldchen, P Mäder
Plant methods 13, 1-11, 2017
672017
Optimal geometric design of monolithic thin-film solar modules: Architecture of polymer solar cells
H Hoppe, M Seeland, B Muhsin
Solar Energy Materials and Solar Cells 97, 119-126, 2012
672012
The flora incognita app–interactive plant species identification
P Mäder, D Boho, M Rzanny, M Seeland, HC Wittich, A Deggelmann, ...
Methods in Ecology and Evolution 12 (7), 1335-1342, 2021
642021
Image-based classification of plant genus and family for trained and untrained plant species
M Seeland, M Rzanny, D Boho, J Wäldchen, P Mäder
BMC bioinformatics 20, 1-13, 2019
532019
Quantitative analysis of electroluminescence images from polymer solar cells
M Seeland, R Rösch, H Hoppe
Journal of Applied Physics 111 (2), 2012
412012
Precode-a generic model extension to prevent deep gradient leakage
D Scheliga, P Mäder, M Seeland
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
342022
Comparison of distributed vs. lumped series resistance modeling of thin‐film solar cells and modules: Influence on the geometry‐dependent efficiency
M Seeland, H Hoppe
physica status solidi (a) 212 (9), 1991-2000, 2015
282015
Recommending plant taxa for supporting on-site species identification
HC Wittich, M Seeland, J Wäldchen, M Rzanny, P Mäder
BMC bioinformatics 19, 1-17, 2018
242018
Flora Capture: a citizen science application for collecting structured plant observations
D Boho, M Rzanny, J Wäldchen, F Nitsche, A Deggelmann, HC Wittich, ...
BMC bioinformatics 21, 1-11, 2020
232020
Crowd‐sourced plant occurrence data provide a reliable description of macroecological gradients
MD Mahecha, M Rzanny, G Kraemer, P Mäder, M Seeland, J Wäldchen
Ecography 44 (8), 1131-1142, 2021
192021
Quantitative evaluation of inhomogeneous device operation in thin film solar cells by luminescence imaging
M Seeland, C Kästner, H Hoppe
Applied Physics Letters 107 (7), 2015
182015
Electroluminescence as characterization tool for polymer solar cells and modules
M Seeland, R Rösch, B Muhsin, G Gobsch, H Hoppe
Energy Procedia 31, 167-172, 2012
152012
Imaging techniques for studying OPV stability and degradation
M Seeland, R Rösch, H Hoppe
Stability and Degradation of Organic and Polymer Solar Cells, 39-70, 2012
122012
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