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Muhammad Azam Sheikh
Muhammad Azam Sheikh
PhD
Dirección de correo verificada de skf.com
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Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
J Zrimec, CS Börlin, F Buric, AS Muhammad, R Chen, V Siewers, ...
Nature communications 11 (1), 6141, 2020
1162020
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ...
Journal of Manufacturing Systems 55, 143-158, 2020
612020
Competitive group testing and learning hidden vertex covers with minimum adaptivity
P Damaschke, A Sheikh Muhammad
Discrete Mathematics, Algorithms and Applications 2 (03), 291-311, 2010
462010
Controlling gene expression with deep generative design of regulatory DNA
J Zrimec, X Fu, AS Muhammad, C Skrekas, V Jauniskis, NK Speicher, ...
Nature communications 13 (1), 5099, 2022
412022
Data-driven algorithm for throughput bottleneck analysis of production systems
M Subramaniyan, A Skoogh, H Salomonsson, P Bangalore, ...
Production & Manufacturing Research 6 (1), 225-246, 2018
402018
Artificial intelligence for throughput bottleneck analysis–State-of-the-art and future directions
M Subramaniyan, A Skoogh, J Bokrantz, MA Sheikh, M Thürer, Q Chang
Journal of Manufacturing Systems 60, 734-751, 2021
352021
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, B Johansson, ...
Computers & Industrial Engineering 150, 106851, 2020
332020
Bayesian optimization in ab initio nuclear physics
A Ekström, C Forssén, C Dimitrakakis, D Dubhashi, HT Johansson, ...
Journal of Physics G: Nuclear and Particle Physics 46 (9), 095101, 2019
302019
Randomized group testing both query-optimal and minimal adaptive
P Damaschke, A Sheikh Muhammad
SOFSEM 2012: Theory and Practice of Computer Science, 214-225, 2012
282012
Bounds for nonadaptive group tests to estimate the amount of defectives
P Damaschke, A Sheikh Muhammad
Combinatorial Optimization and Applications, 117-130, 2010
262010
Urdu Spoken Digits Recognition Using Classified MFCC and Backpropgation Neural Network
A Sheikh Muhammad, ZA Mansoor, MS Mughal, S Mohsin
Computer Graphics, Imaging and Visualisation, 2007. CGIV'07, 414-418, 2007
24*2007
A prognostic algorithm to prescribe improvement measures on throughput bottlenecks
M Subramaniyan, A Skoogh, AS Muhammad, J Bokrantz, ET Bekar
Journal of Manufacturing Systems 53, 271-281, 2019
222019
Strict Group Testing and the Set Basis Problem
P Damaschke, AS Muhammad, G Wiener
Journal of Combinatorial Theory, Series A, 2014
172014
Two new perspectives on multi-stage group testing
P Damaschke, A Sheikh Muhammad, E Triesch
Algorithmica 67 (3), 324-354, 2013
172013
On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US
S Candefjord, AS Muhammad, P Bangalore, R Buendia
Journal of Transport & Health 22, 101124, 2021
162021
Competitive group testing and learning hidden vertex covers with minimum adaptivity
P Damaschke, A Sheikh Muhammad
Proceedings of the 17th international conference on Fundamentals of …, 2009
122009
Exploiting frame-semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages
SM Virk, AS Muhammad, L Borin, MI Aslam, S Iqbal, N Khurram
Proceedings of the International Conference on Recent Advances in Natural …, 2019
112019
Summarizing online user reviews using bicliques
AS Muhammad, P Damaschke, O Mogren
SOFSEM 2016: Theory and Practice of Computer Science: 42nd International …, 2016
92016
An improvement over template matching using k-means algorithm for printed cursive script recognition
TK Khan, A Shiekh Muhammad, S Mohsin
Proceedings of the 4th IASTED International Conference on Signal Processing …, 2007
92007
Machine learning-based investigation of the cancer protein secretory pathway
R Saghaleyni, A Sheikh Muhammad, P Bangalore, J Nielsen, ...
PLoS Computational Biology 17 (4), e1008898, 2021
82021
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Artículos 1–20