| Fuzzy and neural approaches in engineering LH Tsoukalas, RE Uhrig John Wiley & Sons, Inc., 1996 | 2544 | 1996 |
| MATLAB supplement to fuzzy and neural approaches in engineering JW Hines, LH Tsoukalas, RE Uhrig John Wiley & Sons, Inc., 1997 | 435 | 1997 |
| From smart grids to an energy internet: Assumptions, architectures and requirements LH Tsoukalas, R Gao 2008 Third international conference on electric utility deregulation and …, 2008 | 305 | 2008 |
| Flow regime identification methodology with neural networks and two-phase flow models Y Mi, M Ishii, LH Tsoukalas Nuclear engineering and design 204 (1-3), 87-100, 2001 | 256 | 2001 |
| Vertical two-phase flow identification using advanced instrumentation and neural networks Y Mi, M Ishii, LH Tsoukalas Nuclear engineering and design 184 (2-3), 409-420, 1998 | 229 | 1998 |
| Development and validation of a battery model useful for discharging and charging power control and lifetime estimation V Agarwal, K Uthaichana, RA DeCarlo, LH Tsoukalas IEEE Transactions on Energy Conversion 25 (3), 821-835, 2010 | 177 | 2010 |
| Wind speed forecasting for power system operational planning X Wang, G Sideratos, N Hatziargyriou, LH Tsoukalas 2004 International conference on probabilistic methods applied to power …, 2004 | 108 | 2004 |
| Genetic optimal regression of relevance vector machines for electricity pricing signal forecasting in smart grids M Alamaniotis, D Bargiotas, NG Bourbakis, LH Tsoukalas IEEE transactions on smart grid 6 (6), 2997-3005, 2015 | 106 | 2015 |
| Soft computing technologies in nuclear engineering applications RE Uhrig, LH Tsoukalas Progress in Nuclear Energy 34 (1), 13-75, 1999 | 101 | 1999 |
| Evolutionary multiobjective optimization of kernel-based very-short-term load forecasting M Alamaniotis, A Ikonomopoulos, LH Tsoukalas IEEE Transactions on Power Systems 27 (3), 1477-1484, 2012 | 97 | 2012 |
| Financial prediction and trading strategies using neurofuzzy approaches KN Pantazopoulos, LH Tsoukalas, NG Bourbakis, MJ Brun, EN Houstis IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998 | 92 | 1998 |
| Investigation of vertical slug flow with advanced two-phase flow instrumentation Y Mi, M Ishii, LH Tsoukalas Nuclear Engineering and Design 204 (1-3), 69-85, 2001 | 83 | 2001 |
| High accuracy signal processing for magnetic flowmeter E Eryurek, R Gao, LH Tsoukalas US Patent 6,505,517, 2003 | 81 | 2003 |
| Generalized fuzzy indices for similarity matching YA Tolias, SM Panas, LH Tsoukalas Fuzzy Sets and Systems 120 (2), 255-270, 2001 | 76 | 2001 |
| Neural-wavelet methodology for load forecasting R Gao, LH Tsoukalas Journal of Intelligent and Robotic Systems 31, 149-157, 2001 | 68 | 2001 |
| Systematic construction of neural forms for solving partial differential equations inside rectangular domains, subject to initial, boundary and interface conditions PL Lagari, LH Tsoukalas, S Safarkhani, IE Lagaris International Journal on Artificial Intelligence Tools 29 (05), 2050009, 2020 | 62 | 2020 |
| A neurofuzzy methodology for impedance-based multiphase flow identification LH Tsoukalas, M Ishii, Y Mi Engineering Applications of Artificial Intelligence 10 (6), 545-555, 1997 | 55 | 1997 |
| Nuclear wasteform materials: Atomistic simulation case studies A Chroneos, MJD Rushton, C Jiang, LH Tsoukalas Journal of nuclear materials 441 (1-3), 29-39, 2013 | 53 | 2013 |
| Towards smart energy systems: application of kernel machine regression for medium term electricity load forecasting M Alamaniotis, D Bargiotas, LH Tsoukalas SpringerPlus 5, 1-15, 2016 | 50 | 2016 |
| Fuzzy-logic radioisotope identifier for gamma spectroscopy in source search M Alamaniotis, A Heifetz, AC Raptis, LH Tsoukalas IEEE Transactions on Nuclear Science 60 (4), 3014-3024, 2013 | 50 | 2013 |
Miltiadis "Miltos" AlamaniotisUniversity of Texas at San Antonio在 utsa.edu 的电子邮件经过验证
