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6,821 to 6,830 of 11,652 Results
Python Source Code - 7.2 KB - MD5: 2b3113e7d2ed2ccc50fe59cccbd494e3
Functions for handling the radar target (Plasma)
Python Source Code - 21.6 KB - MD5: ed30fbd9f2b41bd246c202eeaf58a815
Uses the radar equation to find integration time and range resolution for a desired uncertainty
Python Source Code - 56.0 KB - MD5: 578cb13e2dc9fab47f0f7177932b71fd
Functions for plotting and handling radar and imaging. This code does currently not represent the final state since those files currently are unavailable.
Python Source Code - 17.2 KB - MD5: af5ed076dc85fe6fcd2a2f12549b5243
Functions to analyse the uncertainty of the reconstructed image.
Tabular Data - 4.4 KB - 1 Variables, 50 Observations - UNF:6:VbsDGr5ENhKr98xIVKzNCA==
44x44 image formed like a "J"
May 10, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-18; spawning ground: 3; time: morning; camera no: 1", https://doi.org/10.18710/WIXGJZ, DataverseNO, V1
This dataset contains video recordings of spawning behavior of Arctic charr (Salvelinus alpinus) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 1 at spawning ground 3 in the morning of 18 September 2016. A description of the data structure and format is gathered in the documentation datas...
Nov 16, 2022
Ströhl, Florian; Jadhav, Suyog S.; Ahluwalia, Balpreet Singh; Agarwal, Krishna; Prasad, Dilip K., 2022, "Supplementary data for "Object detection neural network improves Fourier ptychography reconstruction"", https://doi.org/10.18710/BBU6JD, DataverseNO, V1
This dataset holds the trained deep learning models for our paper "Object detection neural network improves Fourier ptychography reconstruction". The results produced in the paper can be replicated through the use of these models in conjunction with the inference scripts provided in our GitHub repository: External Link. Abstract High resolution mic...
Plain Text - 8.1 KB - MD5: 7485197aa265f9c5f16b1c8fa4fc02dc
Unknown - 6.3 KB - MD5: 9f6a4a9f9ed135fd31fa80f8a8aac59b
Unknown - 6.1 KB - MD5: e0ba3724ca5e53150b017a8a550f1909
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