Search Results - "Grieb, Michael"

Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops by Genze, Nikita, Bharti, Richa, Grieb, Michael, Schultheiss, Sebastian J, Grimm, Dominik G

“…Assessment of seed germination is an essential task for seed researchers to measure the quality and performance of seeds. Usually, seed assessments are done…”
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Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model by Genze, Nikita, Wirth, Maximilian, Schreiner, Christian, Ajekwe, Raymond, Grieb, Michael, Grimm, Dominik G

“…Abstract Background Efficient and site-specific weed management is a critical step in many agricultural tasks. Image captures from drones and modern machine…”
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Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision by Genze, Nikita, Vahl, Wouter K., Groth, Jennifer, Wirth, Maximilian, Grieb, Michael, Grimm, Dominik G.

“…Sustainable weed management strategies are critical to feeding the world’s population while preserving ecosystems and biodiversity. Therefore, site-specific…”
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Investigation of the reliability of 4H–SiC MOS devices for high temperature applications by Le-Huu, Martin, Schmitt, Holger, Noll, Stefan, Grieb, Michael, Schrey, Frederik F., Bauer, Anton J., Frey, Lothar, Ryssel, Heiner

“…In this paper, the excellent reliability of 4H–SiC MOS devices during high temperature operation is demonstrated for a gate oxide processed in N 2O. A…”
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Reliability of Nitrided Gate Oxides for N- and P-Type 4H-SiC(0001) Metal--Oxide--Semiconductor Devices by Noborio, Masato, Grieb, Michael, Bauer, Anton J, Peters, Dethard, Friedrichs, Peter, Suda, Jun, Kimoto, Tsunenobu

“…In this paper, we have investigated reliability of n- and p-type 4H-SiC(0001) metal--oxide--semiconductor (MOS) devices with N 2 O-grown oxides and deposited…”
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Reliability of Nitrided Gate Oxides for N- and P-Type 4H-SiC(0001) Metal–Oxide–Semiconductor Devices by Noborio, Masato, Grieb, Michael, Bauer, Anton J., Peters, Dethard, Friedrichs, Peter, Suda, Jun, Kimoto, Tsunenobu

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Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields by Genze, Nikita, Ajekwe, Raymond, Güreli, Zeynep, Haselbeck, Florian, Grieb, Michael, Grimm, Dominik G.

“…•New expert-curated fully-annotated weed segmentation UAV dataset in sorghum fields.•Challenging capturing conditions due to wind pressure resulting in motion…”
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Parameter sensitivity and interaction in complex environmental models by Grieb, Thomas Michael

“…Complex numerical simulation models are playing an increasingly important role in the analysis of today's environmental and human health problems and issues…”
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