Parallel finite element computations BHV Topping, AI Khan Saxe-Coburg Publications, 1996 | 145 | 1996 |
Measurement of differential cross sections for Z boson production in association with jets in proton-proton collisions at s = 13 TeV AM Sirunyan, A Tumasyan, W Adam, F Ambrogi, E Asilar, T Bergauer, ... The European Physical Journal C 78 (11), 1-41, 2018 | 127 | 2018 |
A hierarchical graph neuron scheme for real-time pattern recognition BB Nasution, AI Khan IEEE Transactions on Neural Networks 19 (2), 212-229, 2008 | 102 | 2008 |
Holographic graph neuron: A bioinspired architecture for pattern processing D Kleyko, E Osipov, A Senior, AI Khan, YA Şekerciogğlu IEEE transactions on neural networks and learning systems 28 (6), 1250-1262, 2016 | 87 | 2016 |
Enabling real-time multi-messenger astrophysics discoveries with deep learning EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ... Nature Reviews Physics 1 (10), 600-608, 2019 | 74 | 2019 |
Topological design of truss structures using simulated annealing BHV Topping, AI Khan, JPDB Leite Structural engineering review 2 (8), 301-314, 1996 | 72 | 1996 |
A survey on detecting black hole attack in AODV-based mobile ad hoc networks RAR Mahmood, AI Khan 2007 International Symposium on High Capacity Optical Networks and Enabling …, 2007 | 71 | 2007 |
A peer-to-peer associative memory network for intelligent information systems A Khan, V Ramachandran ACIS 2002 Proceedings, 6, 2002 | 67 | 2002 |
Parallel adaptive mesh generation AI Khan, BHV Topping Computing systems in Engineering 2 (1), 75-101, 1991 | 66 | 1991 |
Parallel schemes for dynamic relaxation, engineering computations BHV Topping, AI Khan Int J Comput Aided Eng Software. v11, 513-548, 0 | 65* | |
Parallel computation schemes for dynamic relaxation BHV Topping, AI Khan Engineering computations 11 (6), 513-548, 1994 | 61 | 1994 |
Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey A Khan, EA Huerta, S Wang, R Gruendl, E Jennings, H Zheng Physics Letters B 795, 248-258, 2019 | 58 | 2019 |
Subdomain generation for parallel finite element analysis AI Khan, BHV Topping Computing systems in Engineering 4 (4-6), 473-488, 1993 | 58 | 1993 |
Imitation of honey bees’ concept learning processes using vector symbolic architectures D Kleyko, E Osipov, RW Gayler, AI Khan, AG Dyer Biologically Inspired Cognitive Architectures 14, 57-72, 2015 | 52 | 2015 |
Parallel pattern recognition computations within a wireless sensor network AI Khan, P Mihailescu Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International …, 2004 | 50 | 2004 |
Deep learning ensemble for real-time gravitational wave detection of spinning binary black hole mergers W Wei, A Khan, EA Huerta, X Huang, M Tian Physics Letters B 812, 136029, 2021 | 47 | 2021 |
Accelerated, scalable and reproducible AI-driven gravitational wave detection EA Huerta, A Khan, X Huang, M Tian, M Levental, R Chard, W Wei, ... Nature Astronomy 5 (10), 1062-1068, 2021 | 44 | 2021 |
One-shot classification of 2-D leaf shapes using distributed hierarchical graph neuron (DHGN) scheme with k-NN classifier AHM Amin, AI Khan Procedia Computer Science 24, 84-96, 2013 | 39 | 2013 |
Parallel training of neural networks for finite element mesh decomposition BHV Topping, AI Khan, A Bahreininejad Computers & structures 63 (4), 693-707, 1997 | 39 | 1997 |
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure EA Huerta, A Khan, E Davis, C Bushell, WD Gropp, DS Katz, ... Journal of Big Data 7, 1-12, 2020 | 37 | 2020 |