Lefteri H. Tsoukalas

发表

Virtual Budget: Integration of electricity load and price anticipation for load morphing in price-directed energy utilization

Miltiadis Alamaniotis, Nikolaos Gatsis, Lefteri H. Tsoukalas, 2018 .

Hypertext-based integration for nuclear plant maintenance and operations

Lefteri H. Tsoukalas, B. R. Upadhyaya, N. E. Clapp, 1991 .

Application of neural networks and fuzzy systems to power plants

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Integration of Neural Networks with Fuzzy Reasoning for Measuring Operational Parameters in a Nuclear Reactor

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1993 .

Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm

Jason Young, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

An update of the consortium of big-10 university research and training reactors inie activities

Lefteri H. Tsoukalas, Tatjana Jevremovic, Jack S. Brenizer, 2003 .

Hazardous Material Identification Using a Neurofuzzy Methodology

Lefteri H. Tsoukalas, Junguo Bian, Rong Gao, 2007, Int. J. Artif. Intell. Tools.

Three-phase congestion prediction utilizing artificial neural networks

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Rafik Fainti, 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

A neurofuzzy methodology for impedance-based multiphase flow identification

Lefteri H. Tsoukalas, Mamoru Ishii, Ye Mi, 1997 .

PEAKSEEK: A Statistical Processing Algorithm for Radiation Spectrum Peak Identification

Lefteri H. Tsoukalas, Vivek Agarwal, Tatjana Jevremovic, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Load Management of Electric Vehicles Charging in New Generation Power Markets Based on Fuzzy Logic and the Concept of Virtual Budget

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Rafik Fainti, 2018, 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA).

Assessment of Gamma-Ray-Spectra Analysis Method Utilizing the Fireworks Algorithm for Various Error Measures

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2018 .

Enhanced sensitivity and selectivity in a dual cell ion mobility spectrometer

Lefteri H. Tsoukalas, Matthew Todd Griffin, Jack E. Fulton, 2003, SPIE Defense + Commercial Sensing.

A hybrid expert system-neural networks methodology for anticipatory control in a process environment

Lefteri H. Tsoukalas, J. Reyes-Jimenez, 1990, IEA/AIE '90.

On-Line Model-Based System For Nuclear Plant Monitoring

Lefteri H. Tsoukalas, Magdi Ragheb, G. W. Lee, 1989, Defense, Security, and Sensing.

Smart Energy: Principles and Implementation

Lefteri H. Tsoukalas, George Tsatsaronis, Rong Gao, 2014 .

Intelligent signal analysis methodologies for nuclear detection, identification and attribution

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2012 .

Anticipatory monitoring and control in a process environment

Lefteri H. Tsoukalas, G. W. Lee, M. Ragheb, 1989, IEA/AIE '89.

Neurofuzzy Anticipatory Systems: A New Approach to Intelligent Control

Lefteri H. Tsoukalas, 1997, Int. J. Artif. Intell. Tools.

Uncertainty Propagation in Production-Rule Systems Using a Probability-Possibility Approach

Lefteri H. Tsoukalas, Magdi Ragheb, 1988 .

Vertical two-phase flow identification using advanced instrumentation and neural networks

Lefteri H. Tsoukalas, Mamoru Ishii, Ye Mi, 1998 .

Implementing Virtual Buffer for Electric Power Grids

Lefteri H. Tsoukalas, Rong Gao, 2007, International Conference on Computational Science.

An internet of things architecture for preserving privacy of energy consumption

Athanasios Fevgas, Panayiotis Bozanis, Miltiadis Alamaniotis, 2016 .

Gaussian Processes for State Identification in Pressurized Water Reactors

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Stylianos Chatzidakis, 2013 .

Monitoring performance of devices using a coupled probability- possibility method

Lefteri H. Tsoukalas, Marwa H. Ragheb, 1988 .

Hybrid expert system - neural network - Fuzzy Logic methodology for transient identification

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1991 .

A methodology for performing virtual measurements in a nuclear reactor system

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1992 .

Uncertainty modeling in anticipatory systems (nuclear reactor operator emulation)

Lefteri H. Tsoukalas, R. C. Berkan, A. Ikonomopoulos, 1990, [1990] Proceedings. First International Symposium on Uncertainty Modeling and Analysis.

Coupled Probabilistic And Possibilistic Uncertainty Estimation In Rule-Based Analysis Systems

Lefteri H. Tsoukalas, Magdi Ragheb, M. Ragheb, 1987, Other Conferences.

Evaluation of Human Machine Interface (HMI) in Nuclear Power Plants with Fuzzy Logic method

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Robert Bean, 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

The design of Expert Nodalization Assistant (ENA)

Lefteri H. Tsoukalas, O. Uluyol, Ruomei Gao, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Generalized fuzzy indices for similarity matching

Yannis A. Tolias, Stavros M. Panas, Lefteri H. Tsoukalas, 2001, Fuzzy Sets Syst..

Fuzzy Multi-kernel Approach in Intelligent Control of Energy Consumption in Smart Cities

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, M. Alamaniotis, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Application of Fireworks Algorithm in Gamma-Ray Spectrum Fitting for Radioisotope Identification

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Chan K. Choi, 2015, Int. J. Swarm Intell. Res..

Anomaly detection in radiation signals using kernel machine intelligence

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Chan K. Choi, 2015, 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA).

Learning from Loads: An Intelligent System for Decision Support in Identifying Nodal Load Disturbances of Cyber-Attacks in Smart Power Systems Using Gaussian Processes and Fuzzy Inference

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2017 .

Assessment of Fuzzy Logic Radioisotopic Pattern Identifier on Gamma-Ray Signals with Application to Security

Jason Young, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2014, Int. J. Monit. Surveillance Technol. Res..

Intelligent Recognition of Signature Patterns in NRF Spectra

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Tatjana Jevremovic, 2011 .

Neural network methodology for /sup 1/H NMR spectroscopy classification

Lefteri H. Tsoukalas, Vilayanur V. Viswanathan, T. E. Fieno, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Demos: A Distributed Model based on Autonomous, Intelligent Agents with Monitoring and Anticipatory Responses for Energy Management in Smart Cities

Nikolaos G. Bourbakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2014, Int. J. Monit. Surveillance Technol. Res..

Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Rong Gao, 2010, ICST E-Energy.

Multiobjective Unfolding of Shared Power Consumption Pattern Using Genetic Algorithm for Estimating Individual Usage in Smart Cities

Athanasios Fevgas, Panayiotis Bozanis, Miltiadis Alamaniotis, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Neuro-SVM Anticipatory System for Online Monitoring of Radiation and Abrupt Change Detection

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, M. Alamaniotis, 2013, Int. J. Monit. Surveillance Technol. Res..

Virtual cost approach: Electricity consumption scheduling for smart grids/cities in price-directed electricity markets

Nikolaos G. Bourbakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2014, IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications.

Kernel Regression Based Short-Term Load Forecasting

Lefteri H. Tsoukalas, Vivek Agarwal, Anton Bougaev, 2006, ICANN.

Neural Network with Local Memory for Nuclear Reactor Power Level Control

Lefteri H. Tsoukalas, Magdi Ragheb, Önder Uluyol, 2001 .

Intelligent Order-Based Method for Synthesis of NRF Spectra and Detection of Hazardous Materials

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Tatjana Jevremovic, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Ampacity level monitoring utilizing fuzzy logic theory in deregulated power markets

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Rafik Fainti, 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

A smart car model based on autonomous intelligent agents for reducing accidents

Nikolaos G. Bourbakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2017, 2017 IEEE Transportation Electrification Conference and Expo (ITEC).

Increasing specificity in a low-resolution ion-mobility spectrometer

Lefteri H. Tsoukalas, Jack E. Fulton, Rong Gao, 2002, SPIE Defense + Commercial Sensing.

Neurofuzzy Approaches and Their Application to Nuclear Power Systems

Lefteri H. Tsoukalas, Robert E. Uhrig, 1998, Comput. Artif. Intell..

Data-Based Defense-in-Depth of Critical Systems

Lefteri H. Tsoukalas, Clive H. Townsend, Pola Lydia Lagari, 2020, DDDAS.

Virtual measurements using neural networks and fuzzy logic

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1992 .

Neurofuzzy Motion Planners for Intelligent Robots

Elias N. Houstis, Lefteri H. Tsoukalas, G. V. Jones, 1997, J. Intell. Robotic Syst..

Automating the analysis of option pricing algorithms through intelligent knowledge acquisition approaches

Elias N. Houstis, Lefteri H. Tsoukalas, Vassilios S. Verykios, 2001, IEEE Trans. Syst. Man Cybern. Part A.

Modeling the grid as a customer-driven system: emerging challenges and opportunities for self-healing infrastructures

Lefteri H. Tsoukalas, 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

A connectionist approach to trend detection

Lefteri H. Tsoukalas, Xin Wang, O. Uluyol, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Use of neural networks to monitor power plant components

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1992 .

Swarm Intelligence Optimization: Applications of Particle Swarms in Industrial Engineering and Nuclear Power Plants

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, A. Ikonomopoulos, 2012 .

Journal of Intelligent and Robotic Systems 31: 149--157, 2001.

Lefteri H. Tsoukalas, Rong Gao, 2022 .

Creep rupture forecasting for high performance energy systems

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Stylianos Chatzidakis, 2014, IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications.

Neurofuzzy characterization of financial time series in an anticipatory framework

Elias N. Houstis, Lefteri H. Tsoukalas, K. N. Pantazopoulos, 1997, Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr).

Enhancing privacy of electricity consumption in smart cities through morphing of anticipated demand pattern utilizing self-elasticity and genetic algorithms

Nikolaos G. Bourbakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2019, Sustainable Cities and Society.

Anticipatory driven nodal electricity load morphing in smart cities enhancing consumption privacy

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Nikolaos Bourbakis, 2017, 2017 IEEE Manchester PowerTech.

Three-phase line overloading predictive monitoring utilizing artificial neural networks

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Rafik Fainti, 2017, 2017 19th International Conference on Intelligent System Application to Power Systems (ISAP).

Yannis A. Tolias, Stavros M. Panas, Lefteri H. Tsoukalas, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Expert system driven fuzzy control application to power reactors

Belle R. Upadhyaya, R. A. Kisner, Lefteri H. Tsoukalas, 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

Distribution congestion prediction using artificial neural networks for big data

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Rafik Fainti, 2016 .

Fuzzy and neural approaches in engineering

Lefteri H. Tsoukalas, Robert E. Uhrig, R. Uhrig, 1997 .

Extending the K-Means Clustering Algorithm to Improve the Compactness of the Clusters

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Antonia Nasiakou, 2016 .

SELF-POWERED WIRELESS SENSOR NODE POWER MODELING BASED ON IEEE 802.11 COMMUNICATION PROTOCOL

Lefteri H. Tsoukalas, Raymond A. DeCarlo, Vivek Agarwal, 2016 .

ICONE11-36591 NEW QUICKEST TRANSIENT DETECTION METHODOLOGY : NUCLEAR ENGINEERING APPLICATIONS

Lefteri H. Tsoukalas, Tatjana Jevremovic, Xin Wang, 2003 .

Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems

Nikolaos G. Bourbakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

The Concept of Learning Equilibrium Dynamics in the Development of Solid Networks

Lefteri H. Tsoukalas, B. R. Upadhyaya, Robert E. Uhrig, 1990 .

Neuro-Fuzzy Approaches to Anticipatory Control

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1995 .

Innovations and enhancements in neutronic analysis of the Big-10 university research and training reactors based on the AGENT code system

Lefteri H. Tsoukalas, Mathieu Hursin, Tatjana Jevremovic, 2006 .

Magnetic flowmeter neural-wavelet diagnostics system

Lefteri H. Tsoukalas, Rong Gao, E. Eryurek, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

Signal trend identification with fuzzy methods

Xin Wang, Jaques Reifman, Lefteri H. Tsoukalas, 1999, Proceedings 11th International Conference on Tools with Artificial Intelligence.

A neurofuzzy approach for the anticipatory control of complex systems

Lefteri H. Tsoukalas, Robert E. Uhrig, L. Xinqing, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

Privacy-Driven Electricity Group Demand Response in Smart Cities Using Particle Swarm Optimization

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Mark Buckner, 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Antonia Nasiakou, 2016, Int. J. Monit. Surveillance Technol. Res..

HYPERMEDIA INTEGRATION OF INFORMATION RESOURCES FOR PLANT OPERATIONS

Lefteri H. Tsoukalas, R. E. Unrig, 1997 .

A pareto optimization approach of a Gaussian process ensemble for short-term load forecasting

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Andreas Ikonomopoulos, 2011, 2011 16th International Conference on Intelligent System Applications to Power Systems.

Fusion of Gaussian Process Kernel Regressors for Fault Prediction in Intelligent Energy Systems

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, M. Alamaniotis, 2016, Int. J. Artif. Intell. Tools.

Predictive based monitoring of nuclear plant component degradation using support vector regression

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Vivek Agarwal, 2015 .

A Review of Incentive Based Demand Response Methods in Smart Electricity Grids

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Vasiliki Chrysikou, 2015, Int. J. Monit. Surveillance Technol. Res..

PMU data characterization and application to stability monitoring

Lefteri H. Tsoukalas, Edward J. Coyle, George J. Cokkinides, 2006 .

Towards smart energy systems: application of kernel machine regression for medium term electricity load forecasting

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Dimitrios Bargiotas, 2016, SpringerPlus.

Hybrid fuzzy-neural flow identification methodology

Lefteri H. Tsoukalas, M. Li, M. Ishii, 1996, Proceedings of IEEE 5th International Fuzzy Systems.

A multisignal detection of hazardous materials for homeland security

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Tatjana Jevremovic, 2009 .

Creep Rupture Forecasting: A Machine Learning Approach to Useful Life Estimation

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Stylianos Chatzidakis, 2014, Int. J. Monit. Surveillance Technol. Res..

Novel AI approaches in power systems

Lefteri H. Tsoukalas, Vilayanur V. Viswanathan, Viswanathan. Krishnan, 1999, Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446).

The Application of Neural Networks to Electric Power Grid Simulation

Thomas J. Downar, Lefteri H. Tsoukalas, Rong Gao, 2006, ICANN.

A Production-Rule Analysis System for Nuclear Plant Monitoring and Emergency Response Applications

Lefteri H. Tsoukalas, Michael Parker, Magdi Ragheb, 1988 .

Method of Key Vectors Extraction Using R-Cloud Classifiers

Lefteri H. Tsoukalas, Kenny C. Gross, Aleksey M. Urmanov, 2007 .

Expert system that aids reactor-operations personnel in the event of a severe accident

Lefteri H. Tsoukalas, James A. Boshers, 1990, Defense, Security, and Sensing.

Utilization of virtual buffer in local area grids for electricity storage in smart power systems

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2017, 2017 North American Power Symposium (NAPS).

Neurofuzzy approaches to anticipation: a new paradigm for intelligent systems

Lefteri H. Tsoukalas, L. Tsoukalas, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Multi-kernel anticipatory approach to intelligent control with application to load management of electrical appliances

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, M. Alamaniotis, 2016, 2016 24th Mediterranean Conference on Control and Automation (MED).

Developing Intelligent Radiation Analysis Systems: A Hybrid Wave-Fuzzy Methodology for Analysis of Radiation Spectra

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Modeling instructible robots for waste disposal applications

Lefteri H. Tsoukalas, Dimitrios Bargiotas, 1996, Proceedings IEEE International Joint Symposia on Intelligence and Systems.

Editorial

Gennaro Cordasco, Lefteri H. Tsoukalas, Anna Esposito, 2017, Int. J. Artif. Intell. Tools.

Fault tolerant strategies for automated operation of nuclear reactors

Lefteri H. Tsoukalas, B. R. Upadhyaya, R. C. Berkan, 1991 .

Critical Systems under Cyber Threats

Lefteri H. Tsoukalas, Clive H. Townsend, Pola Lydia Lagari, 2020, 2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA.

A rule-based methodology for monitoring airborne radioactivity in nuclear power plants

Lefteri H. Tsoukalas, J. Reyes-Jimenez, J. A. Boshers, 1990 .

Artificial networks for nuclear source characterization

Lefteri H. Tsoukalas, T. J. Downar, Yunlin Xu, 2005 .

Diagnostic methodology for pump health in nuclear power plant using fuzzy logic

Lefteri H. Tsoukalas, Evren Eryurek, Kadir Kavaklioglu, 2005 .

An autonomous intelligent wheelchair for assisting people at need in smart homes: A case study

Nikolaos G. Bourbakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2015, 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA).

Financial prediction and trading strategies using neurofuzzy approaches

Nikolaos G. Bourbakis, Elias N. Houstis, Lefteri H. Tsoukalas, 1998, IEEE Trans. Syst. Man Cybern. Part B.

Leaky bucket approach implementing anticipatory control for nodal power flow management in smart energy systems

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Antonia Nasiakou, 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

Enhancing nuclear power plant performance through the use of artificial intelligence. Final (third annual) report, June 1, 1990--March 31, 1992: Part 1, Overview and publications

Belle R. Upadhyaya, Lefteri H. Tsoukalas, Robert E. Uhrig, 1989 .

A new hybrid neural-genetic methodology for improving learning

Lefteri H. Tsoukalas, A. Likartsis, I. Vlachavas, 1997, Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence.

PERFORMANCE MONITORING AND DIAGNOSIS IN A PROCESS ENVIRONMENT USING A PROBABILITY-POSSIBILITY APPROACH.

Lefteri H. Tsoukalas, Magdi Ragheb, 1988 .

Flow regime identification methodology with neural networks and two-phase flow models

Lefteri H. Tsoukalas, Mamoru Ishii, Ye Mi, 2001 .

MATLAB Supplement to Fuzzy and Neural Approaches in Engineering

Lefteri H. Tsoukalas, Robert E. Uhrig, J. Wesley Hines, 1997 .

A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Georgios Karagiannis, 2017, 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA).

Hybrid expert system; Neural network methodology for transient identification

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1991 .

Path planning in a 2-D known space using neural networks and skeletonization

Lefteri H. Tsoukalas, N. G. Bourbakis, D. Goldman, 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

A Novel Neural-Wavelet Diagnostics Approach: Application to Magnetic Flowmeter

Lefteri H. Tsoukalas, Rong Gao, E. Eryurek, 2001, Int. J. Artif. Intell. Tools.

Enhancing nuclear power plant performance through the use of artificial intelligence. Second annual report, June 1, 1989--May 31, 1990

Lefteri H. Tsoukalas, Belle R. Upadhyaya, Laurence F. Miller, 1990 .

Modeling Energy Consumption and Lifetime of a Wireless Sensor Node Operating on a Contention-Based MAC Protocol

Lefteri H. Tsoukalas, Vivek Agarwal, Raymond A. DeCarlo, 2017, IEEE Sensors Journal.

Probabilistic Kernel Approach to Online Monitoring of Nuclear Power Plants

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, A. Ikonomopoulos, 2012 .

Measurement of fuzzy values using artificial neural networks and fuzzy arithmetic

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1993, [Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.

Incipient Transient Detection in Reactor Systems: Experimental and Theoretical Investigation

Lefteri H. Tsoukalas, Xin Wang, S. T. Revankar, 2005 .

Fuzzy logic -- artificial neural networks integration for transient identification

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1991 .

Expert System for Decision Making and Instructing Nuclear Resonance Fluorescence Cargo Interrogation

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Tatjana Jevremovic, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

A novel neural-wavelet approach for process diagnostics and complex system modeling

Lefteri H. Tsoukalas, Rong Gao, 2000 .

Application of Artificial Neural Networks to Reliable Nuclear Data for Nonproliferation Modeling and Simulation

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Vladimir Sobes, 2016, Int. J. Monit. Surveillance Technol. Res..

Load Analysis and Prediction for Unanticipated Situations

Xin Wang, Lefteri H. Tsoukalas, 2004 .

Performance Metrics for Intelligent Systems An Engineering Perspective

Lefteri H. Tsoukalas, Rong Gao, 2002 .

Multi-kernel assimilation for prediction intervals in nodal short term load forecasting

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2017, 2017 19th International Conference on Intelligent System Application to Power Systems (ISAP).

Anticipatory system for detection of hidden facilities utilizing nodal load consumption information in smart grids

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Layered-based approach to virtual storage for smart power systems

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2013, IISA 2013.

Monitoring nuclear reactor systems using neural networks and fuzzy logic

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1991 .

Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Michael E. Fitzpatrick, 2018, Eng. Appl. Artif. Intell..

Neurofuzzy approaches for advance hearing devices

Lefteri H. Tsoukalas, Rong Gao, Y. Liu, 1999, Proceedings 11th International Conference on Tools with Artificial Intelligence.

Agent Based Systems to Support Multi- disciplinary Probelm Solving Environments

Naren Ramakrishnan, John R. Rice, Elias N. Houstis, 1997 .

COUPLED PROBABILITY-POSSIBILITY METHOD FOR DECISION-MAKING IN KNOWLEDGE-BASED SYSTEMS.

Lefteri H. Tsoukalas, Magdi Ragheb, 1986 .

Intelligent identification of hazardous materials using sensor networks

Lefteri H. Tsoukalas, Jack E. Fulton, 2007 .

Uncertainty Modeling in Anticipatory Systems

Lefteri H. Tsoukalas, A. Ikonomopoulos, R. C. Berkan, 1990 .

Creation of a Geant4 Muon Tomography Package for Imaging of Nuclear Fuel in Dry Cask Storage

Lefteri H. Tsoukalas, 2016 .

Plant monitoring using possibilistic-probabilistic methodologies

Lefteri H. Tsoukalas, Magdi Ragheb, 1987 .

New generation intelligent hearing prosthetics

Lefteri H. Tsoukalas, V. Viswanathan, Rong Gao, 2000, Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering.

Anticipation of minutes-ahead household active power consumption using Gaussian processes

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2015, 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA).

Hybrid expert system: neural-network methodology for nuclear plant monitoring and diagnostics

Lefteri H. Tsoukalas, J. Reyes-Jimenez, 1990, Defense, Security, and Sensing.

Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Antonia Nasiakou, 2018, Handbook of Dynamic Data Driven Applications Systems.

MatGridGUI — A toolbox for GridLAB-D simulation platform

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Antonia Nasiakou, 2016, 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA).

Next-generation hearing prosthetics

Lefteri H. Tsoukalas, Rong Gao, Dimitrios Bargiotas, 2003, IEEE Robotics Autom. Mag..

Chaotic neural networks for intelligent signal encryption

Lefteri H. Tsoukalas, Phillip Forsberg, Stylianos Chatzidakis, 2014, IISA 2014, The 5th International Conference on Information, Intelligence, Systems and Applications.

Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Rafik Fainti, 2016, Int. J. Monit. Surveillance Technol. Res..

DDDAS for Autonomic Interconnected Systems: The National Energy Infrastructure

Thomas J. Downar, Lefteri H. Tsoukalas, Dionysios Aliprantis, 2007, International Conference on Computational Science.

Regression to fuzziness method for estimation of remaining useful life in power plant components

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Austin Grelle, 2014 .

ALARA practices to minimize occupational radiation exposure from contamination at commercial nuclear power plants

Lefteri H. Tsoukalas, J. Reyes-Jimenez, 1990 .

Smart Grids: Importance of Power Quality

Lefteri H. Tsoukalas, Vivek Agarwal, V. Agarwal, 2010, ICST E-Energy.

Diagnostics and control of pressurized reactors using artificial neural networks

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1992, Defense, Security, and Sensing.

Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machine for Fault Identification with Application to Boiling Water Reactors

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Stylianos Chatzidakis, 2016 .

Implementing smart energy systems: Integrating load and price forecasting for single parameter based demand response

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

An Innovative Fuzzy-Logic-Based Methodology for Trend Identification

Jaques Reifman, Lefteri H. Tsoukalas, Xin Wang, 2001 .

Optimal Assembly of Support Vector Regressors with Application to System Monitoring

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Andreas Ikonomopoulos, 2012, Int. J. Artif. Intell. Tools.

Diagnostic methodology for incipient system disturbance based on a neural wavelet approach

Lefteri H. Tsoukalas, In-Ho Won, 2005 .

Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids

Nikolaos G. Bourbakis, Miltiadis Alamaniotis, Lefteri H. Tsoukalas, 2015, IEEE Transactions on Smart Grid.

Monthly load forecasting using kernel based gaussian process regression

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, Stylianos Chatzidakis, 2014 .

Radiation protection optimization using a knowledge based methodology

Lefteri H. Tsoukalas, J. Reyes-Jimenez, 1991 .

Modeling complex systems with neural network generated fuzzy reasoning

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.

A hybrid neural network---fuzzy logic approach to nuclear power plant transient identification

Lefteri H. Tsoukalas, Robert E. Uhrig, A. Ikonomopoulos, 1991 .

Multi-agent-based anticipatory control for enhancing the safety and performance of Generation-IV nuclear power plants during long-term semi-autonomous operation

Lefteri H. Tsoukalas, Robert E. Uhrig, R. Uhrig, 2003 .

Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending pdf

Lefteri H. Tsoukalas, Isaac E. Lagaris, Salar Safarkhani, 2021, ArXiv.

Secure Decision Making and Inference in Critical Systems

Lefteri H. Tsoukalas, Maria Pantopoulou, Stella Pantopoulou, 2021, 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA).

A Meta-Modeling Power Consumption Forecasting Approach Combining Client Similarity and Causality

Lefteri H. Tsoukalas, Dimitrios Bargiotas, Aspassia Daskalopulu, 2021, Energies.

Renewable Energy Sources and Impact on GDP Growth

Lefteri H. Tsoukalas, Maria D. Karasimou, Olga Mousiari, 2021, 2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA).

Fuzzy-Logic Radioisotope Identifier for Gamma Spectroscopy in Source Search

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, A. C. Raptis, 2013, IEEE Transactions on Nuclear Science.

Hypermedia Integration of Information Resources for Nuclear Plant Operations

Lefteri H. Tsoukalas, Robert E. Uhrig, R. Uhrig, 1997 .

Day-ahead electricity price forecasting using optimized multiple-regression of relevance vector machines

Miltiadis Alamaniotis, Lefteri H. Tsoukalas, A. Ikonomopoulos, 2012 .

Soft computing technologies in nuclear engineering applications

Lefteri H. Tsoukalas, Robert E. Uhrig, 1999 .

Investigation of vertical slug flow with advanced two-phase flow instrumentation

Lefteri H. Tsoukalas, Mamoru Ishii, Ye Mi, 2001 .

Developing a cosmic ray muon sampling capability for muon tomography and monitoring applications

Lefteri H. Tsoukalas, Stylianos Chatzidakis, S. Chatzidakis, 2015 .

Interaction of cosmic ray muons with spent nuclear fuel dry casks and determination of lower detection limit

Lefteri H. Tsoukalas, Stylianos Chatzidakis, S. Chatzidakis, 2016 .

Analysis of Spent Nuclear Fuel Imaging Using Multiple Coulomb Scattering of Cosmic Muons

Lefteri H. Tsoukalas, Stylianos Chatzidakis, Chan K. Choi, 2016, IEEE Transactions on Nuclear Science.

Reconstructive inverse dynamics control and application to xenon-induced power oscillations in pressurized water reactors

Belle R. Upadhyaya, Lefteri H. Tsoukalas, Roger A. Kisner, 1991 .