Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Peter Schneider-Kamp"'
Autor:
Jes Sanddal Lindholt, Marie Dahl, Anton Danholt Lautrup, Tobias Hyrup, Anna Schneider-Kamp, Peter Schneider-Kamp
Publikováno v:
Open Heart, Vol 10, Iss 2 (2023)
Objectives The advent of conversational artificial intelligence (AI) systems employing large language models such as ChatGPT has sparked public, professional and academic debates on the capabilities of such technologies. This mixed-methods study sets
Externí odkaz:
https://doaj.org/article/a7053d24a7a647b9adf93404fb009665
Autor:
Lea Matlekovic, Peter Schneider-Kamp
Publikováno v:
Drones, Vol 7, Iss 9, p 563 (2023)
This article presents a constraint modeling approach to global coverage-path planning for linear-infrastructure inspection using multiple autonomous UAVs. The problem is mathematically formulated as a variant of the Min–Max K-Chinese Postman Proble
Externí odkaz:
https://doaj.org/article/08a183072c364f6485d8bd4823fc581d
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 3, Pp 662-671 (2021)
Due to impressive performance, deep neural networks for object detection in images have become a prevalent choice. Given the complexity of the neural network models used, users of these algorithms are typically given no hint as to how the objects wer
Externí odkaz:
https://doaj.org/article/8d6e10ae5e5e4fcb8c381d48b816e01a
Publikováno v:
Frontiers in Marine Science, Vol 9 (2022)
As part of Blue Carbon ecosystems (BCEs), detached macrophytes can be transported to the coast due to current and wave actions, and then deposited on the shore as beach wrack. To date, the role of beach wrack in the material cycle in BCEs is still un
Externí odkaz:
https://doaj.org/article/46c8a614d52a4f38a3c8179387c1d2f7
Autor:
Jonas Herskind Sejr, Thorbjørn Christiansen, Nicolai Dvinge, Dan Hougesen, Peter Schneider-Kamp, Arthur Zimek
Publikováno v:
Applied Sciences, Vol 11, Iss 5, p 2270 (2021)
In the digital marketplaces, businesses can micro-monitor sales worldwide and in real-time. Due to the vast amounts of data, there is a pressing need for tools that automatically highlight changing trends and anomalous (outlier) behavior that is pote
Externí odkaz:
https://doaj.org/article/45958923a15d45669eb6f41c1c8f27e6
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 44, Iss Proc. IWS 2010, Pp 51-65 (2010)
While there are many approaches for automatically proving termination of term rewrite systems, up to now there exist only few techniques to disprove their termination automatically. Almost all of these techniques try to find loops, where the existenc
Externí odkaz:
https://doaj.org/article/33ed69423c9d42c7b70bd630b80b8b29
Autor:
Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kınlı, Barış Özcan, Furkan Kıraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250651
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36cb6b4fd46fccc51234f98052decdd7
https://doi.org/10.1007/978-3-031-25066-8_1
https://doi.org/10.1007/978-3-031-25066-8_1
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
We introduce DRHDR, a Dual branch Residual Convolutional Neural Network for Multi-Bracket HDR Imaging. To address the challenges of fusing multiple brackets from dynamic scenes, we propose an efficient dual branch network that operates on two differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::576e1cac2a7bbf012c7fab874ccacd56
http://arxiv.org/abs/2206.04124
http://arxiv.org/abs/2206.04124