Zobrazeno 1 - 10
of 420
pro vyhledávání: '"Cohn AG"'
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering. 14:1077-1088
This paper presents a novel integrated method for interactive characterization of fracture spacing in rock tunnel sections. The main procedure includes four steps: (1) Automatic extraction of fracture traces, (2) digitization of trace maps, (3) disco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69c4e2ce7cbf74f2ad715033ca485ece
https://doi.org/10.1016/j.jrmge.2021.10.012
https://doi.org/10.1016/j.jrmge.2021.10.012
Autor:
Warburton M; School of Psychology, University of Leeds, Leeds, UK., Brookes J; School of Psychology, University of Leeds, Leeds, UK.; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK., Hasan M; School of Computing, University of Leeds, Leeds, UK., Leonetti M; School of Computing, University of Leeds, Leeds, UK.; Department of Informatics, King's College London, London, UK., Dogar M; School of Computing, University of Leeds, Leeds, UK., Wang H; School of Computing, University of Leeds, Leeds, UK.; Centre for Immersive Technologies, University of Leeds, Leeds, UK., Cohn AG; School of Computing, University of Leeds, Leeds, UK., Mushtaq F; School of Psychology, University of Leeds, Leeds, UK.; Centre for Immersive Technologies, University of Leeds, Leeds, UK., Mon-Williams M; School of Psychology, University of Leeds, Leeds, UK.; Centre for Immersive Technologies, University of Leeds, Leeds, UK.; Centre for Applied Education Research, Wolfson Centre for Applied Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, West Yorkshire, UK.; National Centre for Optics, Vision and Eye Care, University of South-Eastern Norway, Kongsberg 3616, Norway.
Publikováno v:
Royal Society open science [R Soc Open Sci] 2024 Apr 03; Vol. 11 (4), pp. 231550. Date of Electronic Publication: 2024 Apr 03 (Print Publication: 2024).
Publikováno v:
IEEE transactions on neural networks and learning systems [IEEE Trans Neural Netw Learn Syst] 2024 Mar; Vol. 35 (3), pp. 3615-3629. Date of Electronic Publication: 2024 Feb 29.
Autor:
Li XS; School of Computing, University of Leeds, Leeds, United Kingdom., Nguyen TL; School of Computing, University of Leeds, Leeds, United Kingdom., Cohn AG; School of Computing, University of Leeds, Leeds, United Kingdom.; Alan Turing Institute, London, United Kingdom.; Tongji University, Shanghai, China.; Shangdong University, Jilin, China., Dogar M; School of Computing, University of Leeds, Leeds, United Kingdom., Cohen N; School of Computing, University of Leeds, Leeds, United Kingdom.
Publikováno v:
Frontiers in robotics and AI [Front Robot AI] 2023 Nov 23; Vol. 10, pp. 1202568. Date of Electronic Publication: 2023 Nov 23 (Print Publication: 2023).
Understanding how children learn the components of their mother tongue and the meanings of each word has long fascinated linguists and cognitive scientists. Equally, robots face a similar challenge in understanding language and perception to allow fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a3ae9532cc9b400dfad670222805ef9
https://eprints.whiterose.ac.uk/181078/1/Mo_AIJ_paper_final-accepted-version.pdf
https://eprints.whiterose.ac.uk/181078/1/Mo_AIJ_paper_final-accepted-version.pdf
Precise mapping of buried utilities is critical to managing massive urban underground infrastructure and preventing utility incidents. Most current research only focuses on generating such maps based on complete information of underground utilities.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::846fe85b8233d216f792d0536fb214ed
https://eprints.whiterose.ac.uk/159454/8/1-s2.0-S0926580519305436-main.pdf
https://eprints.whiterose.ac.uk/159454/8/1-s2.0-S0926580519305436-main.pdf
Publikováno v:
Tunnelling and Underground Space Technology. 122:104399
Accurate water inflow assessment in the under-construction rock tunnel sites is critical for the next optimized construction and rehabilitation strategy. In this paper, a deep convolutional neural networks (DCNN)-based method, named H-ResNet-34, is i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f51fc01fbad05faa88a20c94a417b2c3
https://doi.org/10.1016/j.tust.2022.104399
https://doi.org/10.1016/j.tust.2022.104399
Autor:
Burnell R; Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK., Schellaert W; Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de Valencia, València, Spain., Burden J; Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK.; Centre for the Study of Existential Risk, University of Cambridge, Cambridge, UK., Ullman TD; Department of Psychology, Harvard University, Cambridge, MA, USA., Martinez-Plumed F; Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de Valencia, València, Spain., Tenenbaum JB; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA., Rutar D; Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK., Cheke LG; Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK.; Department of Psychology, University of Cambridge, Cambridge, UK., Sohl-Dickstein J; Brain team, Google, Mountainview, CA, USA., Mitchell M; Santa Fe Institute, Santa Fe, NM, USA., Kiela D; Stanford University, Stanford, CA, USA., Shanahan M; DeepMind, London, UK.; Department of Computing, Imperial College London, London, UK., Voorhees EM; National Institute of Standards and Technology (Retired), Gaithersburg, MD, USA., Cohn AG; School of Computing, University of Leeds, Leeds, UK.; Alan Turing Institute, London, UK.; Tongji University, Shanghai, China.; Shandong University, Jinan, China., Leibo JZ; DeepMind, London, UK., Hernandez-Orallo J; Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, UK.; Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de Valencia, València, Spain.; Centre for the Study of Existential Risk, University of Cambridge, Cambridge, UK.
Publikováno v:
Science (New York, N.Y.) [Science] 2023 Apr 14; Vol. 380 (6641), pp. 136-138. Date of Electronic Publication: 2023 Apr 13.
Autor:
Akhtiamov D; Einstein institute of Mathematics, The Hebrew University, Jerusalem, 9190401, Israel., Cohn AG; School of Computing, University of Leeds, Woodhouse Lane, Leeds, LS9 2JT, UK.; Luzhong Institute of Safety, Environmental Protection Engineering and Materials, Qingdao University of Science & Technology, Zibo, 255000, China.; School of Mechanical and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, 260061, China.; Department of Computer Science and Technology, Tongji University, Shanghai, 211985, China.; School of Civil Engineering, Shandong University, Jinan, 250061, China., Dabaghian Y; Department of Neurology, The University of Texas McGovern Medical School, 6431 Fannin St, Houston, TX, 77030, USA. yuri.a.dabaghian@uth.tmc.edu.
Publikováno v:
Scientific reports [Sci Rep] 2021 Oct 25; Vol. 11 (1), pp. 20957. Date of Electronic Publication: 2021 Oct 25.