George Panoutsos
George Panoutsos
Professor of Computational Intelligence, University of Sheffield
Verified email at sheffield.ac.uk - Homepage
Title
Cited by
Cited by
Year
Real-time adaptive automation system based on identification of operator functional state in simulated process control operations
CH Ting, M Mahfouf, A Nassef, DA Linkens, G Panoutsos, P Nickel, ...
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2009
922009
Interval type-2 radial basis function neural network: a modeling framework
A Rubio-Solis, G Panoutsos
IEEE Transactions on Fuzzy Systems 23 (2), 457-473, 2014
622014
A neural-fuzzy modelling framework based on granular computing: Concepts and applications
G Panoutsos, M Mahfouf
Fuzzy Sets and Systems 161 (21), 2808-2830, 2010
512010
Granular computing neural-fuzzy modelling: A neutrosophic approach
AR Solis, G Panoutsos
Applied Soft Computing 13 (9), 4010-4021, 2013
442013
Modeling and optimal design of machining-induced residual stresses in aluminium alloys using a fast hierarchical multiobjective optimization algorithm
Q Zhang, M Mahfouf, JR Yates, C Pinna, G Panoutsos, S Boumaiza, ...
Materials and manufacturing processes 26 (3), 508-520, 2011
392011
Using multiple-feature-spaces-based deep learning for tool condition monitoring in ultraprecision manufacturing
C Shi, G Panoutsos, B Luo, H Liu, B Li, X Lin
IEEE Transactions on Industrial Electronics 66 (5), 3794-3803, 2018
382018
Absolute electrical impedance tomography (aEIT) guided ventilation therapy in critical care patients: simulations and future trends
MA Denaď, M Mahfouf, S Mohamad-Samuri, G Panoutsos, BH Brown, ...
IEEE Transactions on Information Technology in Biomedicine 14 (3), 641-649, 2009
382009
Development of a parsimonious GA–NN ensemble model with a case study for Charpy impact energy prediction
YY Yang, M Mahfouf, G Panoutsos
Advances in Engineering Software 42 (7), 435-443, 2011
222011
General type-2 radial basis function neural network: a data-driven fuzzy model
A Rubio-Solis, P Melin, U Martinez-Hernandez, G Panoutsos
IEEE Transactions on Fuzzy Systems 27 (2), 333-347, 2018
212018
Intelligent model-based advisory system for the management of ventilated intensive care patients. Part II: advisory system design and evaluation
A Wang, M Mahfouf, GH Mills, G Panoutsos, DA Linkens, K Goode, ...
Computer methods and programs in biomedicine 99 (2), 208-217, 2010
202010
Granular computing and evolutionary fuzzy modelling for mechanical properties of alloy steels
G Panoutsos, M Mahfouf
Proceedings of, The16th IFAC World Congress 2005, 2005
202005
A real-time quality monitoring framework for steel friction stir welding using computational intelligence
A Baraka, G Panoutsos, S Cater
Journal of Manufacturing Processes 20, 137-148, 2015
182015
The assessment of heart rate variability (HRV) and task load index (TLI) as physiological markers for physical stress
A Nassef, M Mahfouf, DA Linkens, E Elsamahy, A Roberts, P Nickel, ...
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009
182009
An incremental learning structure using granular computing and model fusion with application to materials processing
G Panoutsos, M Mahfouf
Intelligent techniques and tools for novel system architectures, 139-153, 2008
172008
“Right-first-time” production: A reality or a myth?
M Mahfouf, MA Gama, G Panoutsos
Materials and Manufacturing Processes 24 (1), 78-82, 2008
162008
Probabilistic characterisation of model error using Gaussian mixture model—With application to Charpy impact energy prediction for alloy steel
YY Yang, M Mahfouf, G Panoutsos
Control engineering practice 20 (1), 82-92, 2012
152012
Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model
A Wang, M Mahfouf, GH Mills, G Panoutsos, DA Linkens, K Goode, ...
Computer methods and programs in biomedicine 99 (2), 195-207, 2010
132010
Methods for rapid pore classification in metal additive manufacturing
R Snell, S Tammas-Williams, L Chechik, A Lyle, E Hernández-Nava, ...
JOM 72 (1), 101-109, 2020
122020
Multiple characterisation modelling of friction stir welding using a genetic multi-objective data-driven fuzzy modelling approach
Q Zhang, M Mahfouf, G Panoutsos, K Beamish, I Norris
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2288-2295, 2011
122011
Knowledge discovery for friction stir welding via data driven approaches: Part 1–correlation analyses of internal process variables and weld quality
Q Zhang, M Mahfouf, G Panoutsos, K Beamish, I Norris
Science and Technology of Welding and Joining 17 (8), 672-680, 2012
112012
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Articles 1–20