Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jens Schroder"'
Autor:
Jens Schroder-Furstenberg
Publikováno v:
ICT Solutions and Digitalisation in Ports and Shipping ISBN: 9781839530869
ICT Solutions and Digitalisation in Ports and Shipping
ICT Solutions and Digitalisation in Ports and Shipping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dbc497e187b547bbf65ffabf54c484f
https://doi.org/10.1049/pbtr030e_ch3
https://doi.org/10.1049/pbtr030e_ch3
Autor:
Steven M. Corsello, Huajia Zhang, Rajesha Rupaimoole, Volker K. Schulze, Clara Lemos, Kasia B. Handing, Douglas L. Orsi, Mrinal Shekhar, Ulrike Sack, Sven Christian, Wilhelm Bone, Ranad Humeidi, William Colgan, Stephanie Hoyt, Andrew Cherniack, Jens Schroder, Stefan Kaulfuss, Krzysztof Brzezinka, Oliver von Ahsen, Anne Mengel, Roman C. Hillig, Detlev Suelzle, Jeremie Mortier, Caitlin Harrington, Rohith Nagari, Justyna Wierzbinska, Derek Chiang, Georg Beckmann, Meagan Olive, Namrata Udeshi, Annie Apffel, Steven Carr, Philip Lienau, Christian Lechner, Ulf Boemer, Alisha Caliman, David McKinney, Florence Wagner, Dominik Mumberg, Marcus Bauser, Andrea Haegebarth, Knut Eis, Ashley Eheim, Todd R. Golub
Publikováno v:
Cancer Research. 82:3588-3588
CSNK1A1 is a serine/threonine kinase involved in multiple cellular processes, including cell division, beta catenin signaling, and TP53 activation. Inhibition of CSNK1A1 has previously been validated as a therapeutic strategy in hematologic malignanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eda27f4110e552a48e195fe20ca593a7
https://doi.org/10.1158/1538-7445.am2022-3588
https://doi.org/10.1158/1538-7445.am2022-3588
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25:1304-1314
This paper evaluates neural network (NN) based systems and compares them to Gaussian mixture model (GMM) and hidden Markov model (HMM) approaches for acoustic scene classification (SC) and polyphonic acoustic event detection (AED) that are applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::160d112a1b95fd2b0a9833cf8ce2f098
https://doi.org/10.1109/taslp.2017.2690569
https://doi.org/10.1109/taslp.2017.2690569
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 23:2198-2208
Algorithms for the automatic detection and recognition of acoustic events are increasingly gaining relevance for the reliable and robust functioning of consumer, assistive and monitoring systems. The extraction of appropriate task relevant acoustic f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8b48fe1a6b18e94f7a474983eec93de
https://doi.org/10.1109/taslp.2015.2467964
https://doi.org/10.1109/taslp.2015.2467964
Publikováno v:
ICASSP
This contribution investigates the use of features derived from a Gabor filterbank (GFB) for the application of acoustic cough classification. Gabor filters are two-dimensional filters that decompose the spectro-temporal power density further into co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d1fd944410343f58b2a5bb50e4c3d17
https://doi.org/10.1109/icassp.2016.7472920
https://doi.org/10.1109/icassp.2016.7472920
Autor:
Kamil Adiloglu, Niko Moritz, Jörn Anemüller, Jens Schroder, Marc René Schädler, Stefan Goetze, Simon Doclo, Benjamin Cauchi, Birger Kollmeier
Publikováno v:
WASPAA
In this contribution, an acoustic event detection system based on spectro-temporal features and a two-layer hidden Markov model as back-end is proposed within the framework of the IEEE AASP challenge `Detection and Classification of Acoustic Scenes a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d55629a00d95cc92535f710525b37ba7
https://doi.org/10.1109/waspaa.2013.6701868
https://doi.org/10.1109/waspaa.2013.6701868
Publikováno v:
ICASSP
State-of-the-art classifiers like hidden Markov models (HMMs) in combination with mel-frequency cepstral coefficients (MFCCs) are flexible in time but rigid in the spectral dimension. In contrast, part-based models (PBMs) originally proposed in compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::940976eaea366ab0f7ec7c9bba738391
https://doi.org/10.1109/icassp.2013.6637696
https://doi.org/10.1109/icassp.2013.6637696
Autor:
Jens-E. Appell, Danilo Hollosi, Frank Wallhoff, Jens Schroder, Stephan Gerlach, Stefan Goetze
Increase in the number of older people due to demographic changes poses great challenges to the social healthcare systems both in the Western and as well as in the Eastern countries. Support for older people by formal care givers leads to enormous te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::904d5b1ed11ea9421b4000e8737f713b
https://publica.fraunhofer.de/handle/publica/231426
https://publica.fraunhofer.de/handle/publica/231426
Publikováno v:
2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).
This contribution focuses on acoustic event detection and classification for monitoring of elderly people in ambient assistive living environments such as smart homes or nursing homes. We describe an autonomous system for robust detection of acoustic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4ca208f5b0f0aa70c13d55535577cf3
https://doi.org/10.1109/isabel.2010.5702763
https://doi.org/10.1109/isabel.2010.5702763
Autor:
Jens Schroder, Volker Hohmann, Jörn Anemüller, Tobias Neher, Birger Kollmeier, Marko Hiipakka, Giso Grimm, Tobias de Taillez
Publikováno v:
The Journal of the Acoustical Society of America. 135:2427-2427
One of the aims of the focused research group “Individualized hearing acoustics” are elements of an assistive listening device that both fits the requirements of near-to-normal listeners (i.e., providing benefit in noisy situations or other daily
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c280eb227f0709f870cbd560cee6ed7c
https://doi.org/10.1121/1.4878072
https://doi.org/10.1121/1.4878072