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Lefteri H. Tsoukalas - Publications

Affiliations: 
Nuclear Engineering Purdue University, West Lafayette, IN, United States 
Area:
Nuclear Engineering, Artificial Intelligence
Website:
https://engineering.purdue.edu/~tsoukala/
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67 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Alamaniotis M, Bourbakis N, Tsoukalas LH. Enhancing privacy of electricity consumption in smart cities through morphing of anticipated demand pattern utilizing self-elasticity and genetic algorithms Sustainable Cities and Society. 46: 101426. DOI: 10.1016/J.Scs.2019.101426  0.676
2018 Alamaniotis M, Gatsis N, Tsoukalas LH. Virtual Budget: Integration of electricity load and price anticipation for load morphing in price-directed energy utilization Electric Power Systems Research. 158: 284-296. DOI: 10.1016/J.Epsr.2018.01.006  0.666
2018 Alamaniotis M, Mathew J, Chroneos A, Fitzpatrick ME, Tsoukalas LH. Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems Engineering Applications of Artificial Intelligence. 71: 138-154. DOI: 10.1016/J.Engappai.2018.02.009  0.652
2017 Agarwal V, DeCarlo RA, Tsoukalas LH. Modeling Energy Consumption and Lifetime of a Wireless Sensor Node Operating on a Contention-Based MAC Protocol Ieee Sensors Journal. 17: 5153-5168. DOI: 10.1109/Jsen.2017.2722462  0.506
2016 Alamaniotis M, Bargiotas D, Tsoukalas LH. Towards smart energy systems: application of kernel machine regression for medium term electricity load forecasting. Springerplus. 5: 58. PMID 26835237 DOI: 10.1186/S40064-016-1665-Z  0.686
2016 Lagari PL, Sobes V, Alamaniotis M, Tsoukalas LH. Application of Artificial Neural Networks to Reliable Nuclear Data for Nonproliferation Modeling and Simulation International Journal of Monitoring and Surveillance Technologies Research. 4: 54-64. DOI: 10.4018/IJMSTR.2016100104  0.649
2016 Fainti R, Nasiakou A, Alamaniotis M, Tsoukalas LH. Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant International Journal of Monitoring and Surveillance Technologies Research. 4: 20-32. DOI: 10.4018/IJMSTR.2016100102  0.64
2016 Fainti R, Alamaniotis M, Tsoukalas LH. Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems International Journal of Monitoring and Surveillance Technologies Research. 4: 1-20. DOI: 10.4018/IJMSTR.2016070101  0.654
2016 Nasiakou A, Alamaniotis M, Tsoukalas L. Extending the K-Means Clustering Algorithm to Improve the Compactness of the Clusters Journal of Pattern Recognition Research. 11: 61-73. DOI: 10.13176/11.745  0.575
2016 Alamaniotis M, Tsoukalas LH. Fusion of Gaussian Process Kernel Regressors for Fault Prediction in Intelligent Energy Systems International Journal On Artificial Intelligence Tools. 25: 1650023. DOI: 10.1142/S0218213016500238  0.692
2016 Alamaniotis M, Tsoukalas LH. Anticipation of minutes-ahead household active power consumption using Gaussian processes Iisa 2015 - 6th International Conference On Information, Intelligence, Systems and Applications. DOI: 10.1109/IISA.2015.7388051  0.653
2016 Alamaniotis M, Choi CK, Tsoukalas LH. Anomaly detection in radiation signals using kernel machine intelligence Iisa 2015 - 6th International Conference On Information, Intelligence, Systems and Applications. DOI: 10.1109/IISA.2015.7387997  0.654
2016 Alamaniotis M, Tsoukalas LH, Fevgas A, Tsompanopoulou P, Bozanis P. Multiobjective unfolding of shared power consumption pattern using genetic algorithm for estimating individual usage in smart cities Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2016: 398-404. DOI: 10.1109/ICTAI.2015.67  0.654
2016 Alamaniotis M, Tsoukalas LH. Developing intelligent radiation analysis systems: A hybrid wave-fuzzy methodology for analysis of radiation spectra Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 2016: 1114-1121. DOI: 10.1109/ICTAI.2015.158  0.661
2016 Alamaniotis M, Bourbakis N, Tsoukalas LH. Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems 2015 Ieee Global Conference On Signal and Information Processing, Globalsip 2015. 780-784. DOI: 10.1109/GlobalSIP.2015.7418303  0.672
2016 Chatzidakis S, Choi CK, Tsoukalas LH. Interaction of cosmic ray muons with spent nuclear fuel dry casks and determination of lower detection limit Nuclear Instruments and Methods in Physics Research, Section a: Accelerators, Spectrometers, Detectors and Associated Equipment. 828: 37-45. DOI: 10.1016/J.Nima.2016.03.084  0.313
2016 Alamaniotis M, Chatzidakis S, Tsoukalas LH. Data driven monitoring of energy systems: Gaussian process kernel machine for fault identification with application to boiling water reactors Studies in Computational Intelligence. 627: 177-188. DOI: 10.1007/978-3-662-49179-9_8  0.645
2015 Alamaniotis M, Choi CK, Tsoukalas LH. Application of Fireworks Algorithm in Gamma-Ray Spectrum Fitting for Radioisotope Identification International Journal of Swarm Intelligence Research. 6: 102-125. DOI: 10.4018/Ijsir.2015040105  0.673
2015 Chrysikou V, Alamaniotis M, Tsoukalas LH. A Review of Incentive Based Demand Response Methods in Smart Electricity Grids International Journal of Monitoring and Surveillance Technologies Research. 3: 62-73. DOI: 10.4018/IJMSTR.2015100104  0.641
2015 Alamaniotis M, Young J, Tsoukalas LH. Assessment of fuzzy logic radioisotopic pattern identifier on gamma-ray signals with application to security Research Methods: Concepts, Methodologies, Tools, and Applications. 1052-1071. DOI: 10.4018/978-1-4666-7456-1ch046  0.645
2015 Chatzidakis S, Forsberg PT, Tsoukalas LH. Artificial neural networks and chaos dynamics for radiation signal encryption Nuclear Technology. 192: 61-73. DOI: 10.13182/Nt14-112  0.333
2015 Alamaniotis M, Bargiotas D, Bourbakis NG, Tsoukalas LH. Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids Ieee Transactions On Smart Grid. 6: 2997-3005. DOI: 10.1109/Tsg.2015.2421900  0.692
2015 Chatzidakis S, Chrysikopoulou S, Tsoukalas LH. Developing a cosmic ray muon sampling capability for muon tomography and monitoring applications Nuclear Instruments and Methods in Physics Research, Section a: Accelerators, Spectrometers, Detectors and Associated Equipment. 804: 33-42. DOI: 10.1016/J.Nima.2015.09.033  0.332
2014 Bourbakis N, Tsoukalas LH, Alamaniotis M, Gao R, Kerkman K. Demos International Journal of Monitoring and Surveillance Technologies Research. 2: 81-99. DOI: 10.4018/IJMSTR.2014100105  0.619
2014 Chatzidakis S, Alamaniotis M, Tsoukalas LH. Creep Rupture Forecasting International Journal of Monitoring and Surveillance Technologies Research. 2: 1-25. DOI: 10.4018/ijmstr.2014040101  0.662
2014 Alamaniotis M, Tsoukalas LH, Bourbakis N. Virtual cost approach: Electricity consumption scheduling for smart grids/cities in price-directed electricity markets Iisa 2014 - 5th International Conference On Information, Intelligence, Systems and Applications. 38-43. DOI: 10.1109/IISA.2014.6878831  0.632
2014 Chatzidakis S, Alamaniotis M, Tsoukalas LH. Creep rupture forecasting for high performance energy systems Iisa 2014 - 5th International Conference On Information, Intelligence, Systems and Applications. 95-99. DOI: 10.1109/IISA.2014.6878824  0.646
2014 Alamaniotis M, Grelle A, Tsoukalas LH. Regression to fuzziness method for estimation of remaining useful life in power plant components Mechanical Systems and Signal Processing. 48: 188-198. DOI: 10.1016/J.Ymssp.2014.02.014  0.681
2014 Alamaniotis M, Tsoukalas LH. Integration of price anticipation and self-elasticity for purchase decisions and planning in price directed electricity markets Iet Conference Publications. 2014.  0.622
2014 Alamaniotis M, Chatzidakis S, Tsoukalas LH. Monthly load forecasting using kernel based Gaussian Process Regression Iet Conference Publications. 2014.  0.649
2013 Alamaniotis M, Tsoukalas LH. Neuro-SVM Anticipatory System for Online Monitoring of Radiation and Abrupt Change Detection International Journal of Monitoring and Surveillance Technologies Research. 1: 40-53. DOI: 10.4018/ijmstr.2013040103  0.648
2013 Ikonomopoulos A, Alamaniotis M, Chatzidakis S, Tsoukalas LH. Gaussian processes for state identification in pressurized water reactors Nuclear Technology. 182: 1-12. DOI: 10.13182/Nt13-A15821  0.679
2013 Alamaniotis M, Heifetz A, Raptis AC, Tsoukalas LH. Fuzzy-logic radioisotope identifier for gamma spectroscopy in source search Ieee Transactions On Nuclear Science. 60: 3014-3024. DOI: 10.1109/Tns.2013.2265307  0.681
2013 Alamaniotis M, Mattingly J, Tsoukalas LH. Pareto-optimal gamma spectroscopic radionuclide identification using evolutionary computing Ieee Transactions On Nuclear Science. 60: 2222-2231. DOI: 10.1109/Tns.2013.2260869  0.681
2013 Alamaniotis M, Mattingly J, Tsoukalas LH. Kernel-based machine learning for background estimation of NaI low-count gamma-ray spectra Ieee Transactions On Nuclear Science. 60: 2209-2221. DOI: 10.1109/Tns.2013.2260868  0.667
2013 Alamaniotis M, Tsoukalas LH. Layered-based approach to virtual storage for smart power systems Iisa 2013 - 4th International Conference On Information, Intelligence, Systems and Applications. 307-312. DOI: 10.1109/IISA.2013.6623732  0.61
2013 Chroneos A, Rushton MJD, Jiang C, Tsoukalas LH. Nuclear wasteform materials: Atomistic simulation case studies Journal of Nuclear Materials. 441: 29-39. DOI: 10.1016/J.Jnucmat.2013.05.012  0.306
2012 Alamaniotis M, Ikonomopoulos A, Tsoukalas LH. Probabilistic kernel approach to online monitoring of nuclear power plants Nuclear Technology. 177: 132-145. DOI: 10.13182/Nt12-A13333  0.683
2012 Alamaniotis M, Ikonomopoulos A, Tsoukalas LH. Optimal assembly of support vector regressors with application to system monitoring International Journal On Artificial Intelligence Tools. 21. DOI: 10.1142/S0218213012500340  0.699
2012 Alamaniotis M, Ikonomopoulos A, Tsoukalas LH. Evolutionary multiobjective optimization of kernel-based very-short-term load forecasting Ieee Transactions On Power Systems. 27: 1477-1484. DOI: 10.1109/Tpwrs.2012.2184308  0.688
2012 Alamaniotis M, Ikonomopoulos A, Alamaniotis A, Bargiotas D, Tsoukalas LH. Day-ahead electricity price forecasting using optimized multiple-regression of relevance vector machines Iet Conference Publications. 2012. DOI: 10.1049/cp.2012.2023  0.658
2011 Alamaniotis M, Ikonomopoulos A, Jevremovic T, Tsoukalas LH. Intelligent recognition of signature patterns in NRF spectra Nuclear Technology. 175: 480-497. DOI: 10.13182/Nt11-A12319  0.769
2011 Alamaniotis M, Ikonomopoulos A, Tsoukalas LH. A Pareto optimization approach of a Gaussian process ensemble for short-term load forecasting 2011 16th International Conference On Intelligent System Applications to Power Systems, Isap 2011. DOI: 10.1109/ISAP.2011.6082231  0.67
2011 Alamaniotis M, Gao R, Tsoukalas LH. Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization Lecture Notes of the Institute For Computer Sciences, Social-Informatics and Telecommunications Engineering, Lnicst. 54: 3-11. DOI: 10.1007/978-3-642-19322-4_1  0.618
2010 Agarwal V, Uthaichana K, Decarlo RA, Tsoukalas LH. Development and validation of a battery model useful for discharging and charging power control and lifetime estimation Ieee Transactions On Energy Conversion. 25: 821-835. DOI: 10.1109/Tec.2010.2043106  0.563
2009 Alamaniotis M, Terrill S, Perry J, Gao R, Tsoukalas L, Jevremovic T. A multisignal detection of hazardous materials for homeland security Nuclear Technology and Radiation Protection. 24: 46-55. DOI: 10.2298/Ntrp0901046A  0.756
2009 Alamaniotis M, Gao R, Tsoukalas LH, Jevremovic T. Intelligent detection of SNM in liquid containers 2009 16th International Conference On Systems, Signals and Image Processing, Iwssip 2009. DOI: 10.1109/IWSSIP.2009.5367751  0.759
2009 Forsberg P, Agarwal V, Perry J, Gao R, Tsoukalas LH, Jevremovic T. PEAKSEEK: A statistical processing algorithm for radiation spectrum peak identification Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 674-678. DOI: 10.1109/ICTAI.2009.97  0.64
2009 Alamaniotis M, Gao R, Tsoukalas LH, Jevremovic T. Intelligent order-based method for synthesis of NRF spectra and detection of hazardous materials Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 658-665. DOI: 10.1109/ICTAI.2009.96  0.765
2009 Alamaniotis M, Gao R, Tsoukalas LH, Jevremovic T. Expert system for decision making and instructing nuclear resonance fluorescence cargo interrogation Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 666-673. DOI: 10.1109/ICTAI.2009.95  0.754
2009 Alamaniotis M, Young J, Perry J, Xiao S, Agarwal V, Forsberg P, Gao R, Choi C, Tsoukalas LH, Jevremovic T. Engineering solution to nuclear material detection at ports; introducing the novel iMASS paradigm Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 679-682. DOI: 10.1109/ICTAI.2009.94  0.774
2007 Bian J, Gao R, Tsoukalas LH. Hazardous material identification using a neurofuzzy methodology International Journal On Artificial Intelligence Tools. 16: 901-906. DOI: 10.1142/S021821300700359X  0.366
2006 Tsoukalas L, Clikeman F, Bertodano M, Jevremovic T, Walter J, Bougaev A, Merritt E. Tritium measurements in neutron-induced cavitation of deuterated acetone Nuclear Technology. 155: 248-251. DOI: 10.13182/Nt06-A3759  0.709
2006 Tsoukalas L, Clikeman F, Bertodano M, Jevremovic T, Walter J, Bougaev A, Merritt E. Tritium Measurements in Neutron-Induced Cavitation of Deuterated Acetone Nuclear Technology. 155: 248-251. DOI: 10.13182/NT06-A3759  0.581
2006 Bougaev AA, Urmanov AM, Gross KC, Tsoukalas LH. Method of key vectors extraction using R-cloud classifiers Advances in Systems, Computing Sciences and Software Engineering - Proceedings of Scss 2005. 97-100. DOI: 10.1007/1-4020-5263-4_15  0.729
2003 Wang X, Jevremovic T, Tsoukalas LH. ICONE11-36591 NEW QUICKEST TRANSIENT DETECTION METHODOLOGY : NUCLEAR ENGINEERING APPLICATIONS The Proceedings of the International Conference On Nuclear Engineering (Icone). 2003: 138. DOI: 10.1299/jsmeicone.2003.138  0.599
2003 Uhrig RE, Tsoukalas LH. Multi-agent-based anticipatory control for enhancing the safety and performance of generation-IV nuclear power plants during long-term semi-autonomous operation Progress in Nuclear Energy. 43: 113-120. DOI: 10.1016/S0149-1970(03)00003-9  0.312
2001 Wang X, Tsoukalas LH, Wei TYC, Reifman J. An innovative fuzzy-logic-based methodology for trend identification Nuclear Technology. 135: 67-84. DOI: 10.13182/Nt01-A3206  0.357
2001 Uluyol Ö, Ragheb M, Tsoukalas L. Neural Network with Local Memory for Nuclear Reactor Power Level Control Nuclear Technology. 133: 213-228. DOI: 10.13182/Nt01-A3170  0.323
2001 GAO R, ERYUREK E, TSOUKALAS LH. A NOVEL NEURAL-WAVELET DIAGNOSTICS APPROACH: APPLICATION TO MAGNETIC FLOWMETER International Journal On Artificial Intelligence Tools. 10: 421-429. DOI: 10.1142/S0218213001000593  0.317
2001 Gao R, Tsoukalas LH. Neural-wavelet methodology for load forecasting Journal of Intelligent and Robotic Systems: Theory and Applications. 31: 149-157. DOI: 10.1023/A:1012205313137  0.351
1999 Uhrig RE, Tsoukalas LH. Soft computing technologies in nuclear engineering applications Progress in Nuclear Energy. 34: 13-75. DOI: 10.1016/S0149-1970(97)00109-1  0.355
1997 Tsoukalas LH, Uhrig RE. Hypermedia integration of information resources for nuclear plant operations Nuclear Technology. 119: 48-61. DOI: 10.13182/Nt77-A35394  0.314
1997 Tsoukalas LH. Neurofuzzy Anticipatory Systems: A New Approach to Intelligent Control International Journal On Artificial Intelligence Tools. 6: 365-395. DOI: 10.1142/S0218213097000207  0.326
1993 Ikonomopoulos A, Tsoukalas LH, Uhrig RE. Integration of Neural Networks with Fuzzy Reasoning for Measuring Operational Parameters in a Nuclear Reactor Nuclear Technology. 104: 1-12. DOI: 10.13182/Nt93-A34866  0.365
1992 Ikonomopoulos A, Tsoukalas LH, Uhrig RE. Diagnostics and control of pressurized reactors using artificial neural networks Proceedings of Spie. 1709: 982-989. DOI: 10.1117/12.139988  0.334
1991 Berkan RC, Upadhyaya BR, Tsoukalas LH, Kisner RA, Bywater RL. Advanced Automation Concepts for Large-Scale Systems Ieee Control Systems. 11: 4-12. DOI: 10.1109/37.92985  0.324
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