Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Markus Thom"'
Publikováno v:
Pharmaceutics, Vol 16, Iss 4, p 510 (2024)
Solid dispersions are a promising approach to enhance the dissolution of poorly water-soluble drugs. Solid crystalline formulations show a fast drug dissolution and a high thermodynamic stability. To understand the mechanisms leading to the faster di
Externí odkaz:
https://doaj.org/article/48b97703942b4d9d920024e3ade85f81
Publikováno v:
Pharmaceutics, Vol 16, Iss 3, p 301 (2024)
Melt viscosity is an essential property in pharmaceutical processes such as mixing, extrusion, fused deposition modeling, and melt coating. Measuring and modeling of the melt viscosity for drug/polymer mixtures is essential for optimization of the ma
Externí odkaz:
https://doaj.org/article/42a492c9da984b9fa034ca3318c9ce3d
Publikováno v:
Intelligent Vehicles Symposium
This paper proposes a learning-based behavior generation approach for automated vehicles which is adapted sequentially. Instead of engineering behavioral policies for a variety of individual traffic situations by hand, our approach concentrates on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aca91765722e5802a3d16e6bfb3648cf
https://doi.org/10.1109/ivs.2016.7535422
https://doi.org/10.1109/ivs.2016.7535422
Learning dictionaries suitable for sparse coding instead of using engineered bases has proven effective in a variety of image processing tasks. This paper studies the optimization of dictionaries on image data where the representation is enforced to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ff3d01ae619d596ed3c9ad506b9dcbe
http://arxiv.org/abs/1604.04767
http://arxiv.org/abs/1604.04767
Autor:
Gunther Krehl, Markus Thom, Dominik Nuss, Stephan Reuter, Klaus Dietmayer, Ting Yuan, Michael Maile, Axel Gern
Grid mapping is a well-established approach for environment perception in robotic and automotive applications. Early work suggests estimating the occupancy state of each grid cell in a robot’s environment using a Bayesian filter to recursively comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eabff876da47b655476e64c70d47070
Autor:
Markus Thom, Franz Gritschneder
A rigorous formulation of the dynamics of a signal processing scheme aimed at dense signal scanning without any loss in accuracy is introduced and analyzed. Related methods proposed in the recent past lack a satisfactory analysis of whether they actu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be5a5b60d893d2b9a4afa2992ce179e6
Publikováno v:
Pharmaceutics, Vol 15, Iss 12, p 2650 (2023)
An innovative strategy to address recent challenges in the oral administration of poorly soluble drugs is the formulation of amorphous solid dispersions (ASDs), where the drug is dissolved in a highly soluble carrier polymer. Therefore, special knowl
Externí odkaz:
https://doaj.org/article/87342e9c987546b1920c9cf2e17f51ee
Autor:
Viktoria Jakl, Melanie Ehmele, Martina Winkelmann, Simon Ehrenberg, Tim Eiseler, Benedikt Friemert, Markus Thomas Rojewski, Hubert Schrezenmeier
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Mesenchymal stromal cells (MSCs) are promising therapeutic candidates in a variety of diseases due to having immunomodulatory and pro-regenerative properties. In recent years, MSC-derived small extracellular vesicles (sEVs) have attracted increasing
Externí odkaz:
https://doaj.org/article/0dd0984c8c6741dfbd3819d911228179
Autor:
Michael Gabb, Roland Schweiger, Markus Thom, Christian Feller, Albrecht Rothermel, Raimar Wagner
Publikováno v:
ICCE-Berlin
Common image compression algorithms like JPEG or JPEG2000 transform the individual pixel values into a domain that favors a compact representation. In contrast to the fixed DCT or Wavelet domains, recent efforts were made on image coding with learned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4188b363f65e6bce42e293d4d364d26b
https://doi.org/10.1109/icce-berlin.2013.6698022
https://doi.org/10.1109/icce-berlin.2013.6698022
Publikováno v:
IJCNN
Learning Convolutional Neural Networks (CNN) is commonly carried out by plain supervised gradient descent. With sufficient training data, this leads to very competitive results for visual recognition tasks when starting from a random initialization.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2542978a6502398d07eb58c92bb14231
https://doi.org/10.1109/ijcnn.2013.6706969
https://doi.org/10.1109/ijcnn.2013.6706969