Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Shallow focus"'
Autor:
Namaz P. Yusubov
Publikováno v:
Perm Journal of Petroleum and Mining Engineering, Vol 16, Iss 4, Pp 304-312 (2017)
The territory of Azerbaijan located in the central part of the Mediterranean mobile belt is characterized by high seismicity, mud volcanism, widespread slumps and contrast character of modern vertical and horizontal movements occurring in the sedimen
Externí odkaz:
https://doaj.org/article/25adf521da3c4b529f432fb199852b2d
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811599750
In this study, two classification methods such as the artificial neural network with feed-forward backpropagation (ANN) and random forest regression (RFR) were used to identify tsunamigenic earthquakes at a regional distance with shallow focus depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ff71d08ecf5b6185dec24ee87dde3dd
https://doi.org/10.1007/978-981-15-9976-7_31
https://doi.org/10.1007/978-981-15-9976-7_31
Publikováno v:
CVPR Workshops
Bokeh is an important artistic effect used to highlight the main object of interest on the photo by blurring all out-of-focus areas. While DSLR and system camera lenses can render this effect naturally, mobile cameras are unable to produce shallow de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::810ab29e838a45950d9b92d75b2d05bc
Autor:
Saikat Dutta, Jian Cheng, M. B. Saagara, Zijin Wu, P. S. Hrishikesh, Praveen Kandula, Hulk Wong, Nisarg A. Shah, Densen Puthussery, Zhiguo Cao, Ke Xian, Maitreya Suin, Cong Leng, C. V. Jiji, S. Praseeda, Xianrui Luo, Melvin Kuriakose, Jay Zou, Ming Qian, Juewen Peng, Jiamin Lin, Max Zheng, A. L. Minnu, A. R. Sanjana, Kuldeep Purohit, Chenghua Li, Xueqin Chen, Radu Timofte, A. N. Rajagopalan, Zhenyu Guo, Congyu Qiao, Andrey Ignatov, Ge Wu, Sourya Dipta Das, Tengyao Wang
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030670696
ECCV Workshops (3)
ECCV Workshops (3)
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world bokeh simulation problem, where the goal was to learn a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::995a80a72170497b886c13b35158ba5c
https://doi.org/10.1007/978-3-030-67070-2_13
https://doi.org/10.1007/978-3-030-67070-2_13
Akademický článek
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Publikováno v:
Izvestiya, Physics of the Solid Earth. 53:385-409
The distribution of the hypocenters of great seismic events with M ≥ 7.0 and, consequently, the seismic energy released in their sources is asymmetric along the Earth radius. According to our estimates, 90% of the energy is released relatively clos
Publikováno v:
Physics of the Earth and Planetary Interiors. 259:10-17
An Artificial Neural Network (ANN) based algorithm for prompt identification of shallow focus (depth
Autor:
Naresh Rana, Vineet K. Gahalaut, G. Suresh, K.S. Hosalikar, K. M. Sreejith, Charu Kamra, Ritesh Agrawal, Monika Wadhawan, Kiran V. Narkhede, Varun Sharma
Publikováno v:
Tectonophysics. 779:228376
In November 2018 a low magnitude earthquake swarm started on the west coast of central India which is continuing into 2020. The swarm started much after the monsoon season and was on decline in May–June 2019 but the earthquake frequency again incre
Autor:
T.J.V. Vermeulen
In this essay I consider the device of depthlessness in film. I am interested in particular in the ways in which this device can determine, or at least raise questions about, the nature of the fictional world. Taking my cue from two films from the tu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::369795b6fe38e772099e89758bc7c387
http://hdl.handle.net/10852/71970
http://hdl.handle.net/10852/71970
Publikováno v:
2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).
Two pattern classification methodologies — Artificial Neural Network (ANN) and Support Vector Machine (SVM) have been used in this study to identify shallow focus (depth