Zobrazeno 1 - 10
of 3 101
pro vyhledávání: '"A. Hansch"'
Autor:
Schmitt, Michael, Ahmadi, Seyed Ali, Xu, Yonghao, Taskin, Gulsen, Verma, Ujjwal, Sica, Francescopaolo, Hansch, Ronny
Publikováno v:
Published in IEEE Geoscience and Remote Sensing Magazine, vol. 11, no. 3, pp. 63-97, Sept. 2023
Carefully curated and annotated datasets are the foundation of machine learning, with particularly data-hungry deep neural networks forming the core of what is often called Artificial Intelligence (AI). Due to the massive success of deep learning app
Externí odkaz:
http://arxiv.org/abs/2310.19231
This paper presents a novel approach using multiple linear regression to process transient signals from silicon photomultipliers. The method provides excellent noise suppression and pulse detection in scenarios with a high pulse count rate and superi
Externí odkaz:
http://arxiv.org/abs/2304.12441
Autor:
Rami Muratoglu, Dominik Gerster, Jacek Nadobny, Alexander Hansch, Paul Krahl, Paraskevi Danai Veltsista, Marcus Beck, Daniel Zips, Pirus Ghadjar
Publikováno v:
International Journal of Hyperthermia, Vol 41, Iss 1 (2024)
Introduction Several positive clinical trials have demonstrated that capacitive hyperthermia (CHT) improves the effectiveness of radiation therapy for the treatment of various cancer entities. However, the ability of CHT to induce significant heating
Externí odkaz:
https://doaj.org/article/63bee77b1edd4a238d118c7ba22730f9
Autor:
Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang, Xiaoqiang Lu, Licheng Jiao, Qiong Liu, Lingling Li, Fang Liu, Xu Liu, Yuting Yang, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun, Gemine Vivone, Claudio Persello, Ronny Hansch
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11194-11207 (2024)
This article presents the scientific outcomes of the 2023 Data Fusion Contest (DFC23) organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. The contest consists of two tracks investigat
Externí odkaz:
https://doaj.org/article/f5129bad952b4726a7a7b5a1f96c4c8f
Autor:
Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei, Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone, Ronny Hansch, Gulsen Taskin, Jing Yao, A. K. Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8851-8862 (2024)
Given the ever-growing availability of remote sensing data (e.g., Gaofen in China, Sentinel in the EU, and Landsat in the USA), multimodal remote sensing techniques have been garnering increasing attention and have made extraordinary progress in vari
Externí odkaz:
https://doaj.org/article/6ef0e70d29714a40b833ab53e447e541
Autor:
Protasov, Viktor, Hansch, Nikolai
Publikováno v:
German International Journal of Modern Science / Deutsche Internationale Zeitschrift für Zeitgenössische Wissenschaft. Jul2024, Issue 85, p65-69. 5p.
Publikováno v:
In IFAC PapersOnLine 2024 58(19):121-126
Akademický článek
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Publikováno v:
Electronics Letters, Vol 59, Iss 19, Pp n/a-n/a (2023)
Abstract In this letter, a design of virtual guarded SiPMs fabricated in a standard 0.35μm standard complementary metal oxide semiconductor (CMOS) process is introduced. The performance of these virtual guarded cells (VGC) is compared to that of con
Externí odkaz:
https://doaj.org/article/6036574ddbad42f6a71c141bad80e50c
Statistical biases due to anonymization evaluated in an open clinical dataset from COVID-19 patients
Autor:
Carolin E. M. Koll, Sina M. Hopff, Thierry Meurers, Chin Huang Lee, Mirjam Kohls, Christoph Stellbrink, Charlotte Thibeault, Lennart Reinke, Sarah Steinbrecher, Stefan Schreiber, Lazar Mitrov, Sandra Frank, Olga Miljukov, Johanna Erber, Johannes C. Hellmuth, Jens-Peter Reese, Fridolin Steinbeis, Thomas Bahmer, Marina Hagen, Patrick Meybohm, Stefan Hansch, István Vadász, Lilian Krist, Steffi Jiru-Hillmann, Fabian Prasser, Jörg Janne Vehreschild, NAPKON Study Group
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-15 (2022)
Abstract Anonymization has the potential to foster the sharing of medical data. State-of-the-art methods use mathematical models to modify data to reduce privacy risks. However, the degree of protection must be balanced against the impact on statisti
Externí odkaz:
https://doaj.org/article/28a3080393434801b72639368e05f863