Zobrazeno 101 - 110
of 12 525
pro vyhledávání: '"Shah Rukh"'
Autor:
Shah Rukh, Tobias Schad, Maximilian Strer, Marco Natkhin, Inken Krüger, Stephan Raspe, Nadine Eickenscheidt, Rainer Hentschel, Andrea Hölscher, Philipp Reiter, Tanja G. M. Sanders
Publikováno v:
Annals of Forest Science, Vol 79, Iss 1, Pp 1-7 (2022)
Abstract Key message: A harmonized, comprehensive meteorological time series for 78 German intensive forest monitoring plots (Level II) has been made available from 1961 to 2019. The used hybrid spatial interpolation routine using simple linear regre
Externí odkaz:
https://doaj.org/article/88f7474768c34e2489b2ca46c3d81381
Publikováno v:
FRPT- Retail Snapshot. 9/7/2015, p47-48. 2p.
Autor:
Shah Rukh, Mohammad Saleem Akhtar, Fahad Alshehri, Ayaz Mehmood, Kouser Majeed Malik, Sattam Almadani, Ahmad Khan, Muhammad Shahab
Publikováno v:
Water, Vol 16, Iss 3, p 386 (2024)
Dissolved arsenic (As) may appear at the tile line level through preferential flow (PF), leading to contamination of shallow water bodies. Limited work on the movement of As forms in field soils urged the need for more research. The PF of arsenate (A
Externí odkaz:
https://doaj.org/article/79dee83ddeb94a53bd5aee5646f2cced
Publikováno v:
Proceedings of the ASEE Annual Conference & Exposition. 2023, p1-11. 11p.
Publikováno v:
Time.com. 4/6/2023, p5-5. 1p.
Document structure analysis, such as zone segmentation and table recognition, is a complex problem in document processing and is an active area of research. The recent success of deep learning in solving various computer vision and machine learning p
Externí odkaz:
http://arxiv.org/abs/1905.13391
Recent advancements in mobile devices encourage researchers to utilize them in collaborative environments as a medium to interact with large shared wall-displays. In this paper, we focus on a semi-controlled user study that we conducted to measure th
Externí odkaz:
http://arxiv.org/abs/1904.13364
Publikováno v:
Eur. Phys. J. C, 79 7 (2019) 608
We explore the use of graph networks to deal with irregular-geometry detectors in the context of particle reconstruction. Thanks to their representation-learning capabilities, graph networks can exploit the full detector granularity, while natively m
Externí odkaz:
http://arxiv.org/abs/1902.07987
Publikováno v:
In Cleaner Energy Systems April 2023 4
Publikováno v:
In Bioelectrochemistry April 2023 150