Lefteri H. Tsoukalas

According to our database1, Lefteri H. Tsoukalas authored at least 78 papers between 1989 and 2023.

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Bibliography

2023
Explainability Analysis of Weather Variables in Short- Term Load Forecasting.
Proceedings of the 14th International Conference on Information, 2023

2022
Monitoring of Temperature Measurements for Different Flow Regimes in Water and Galinstan with Long Short-Term Memory Networks and Transfer Learning of Sensors.
Comput., 2022

Monitoring and Secure Communications for Small Modular Reactors.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021
Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending.
CoRR, 2021

Secure Decision Making and Inference in Critical Systems.
Proceedings of the 12th International Conference on Information, 2021

Renewable Energy Sources and Impact on GDP Growth.
Proceedings of the 12th International Conference on Information, 2021

2020
Systematic Construction of Neural Forms for Solving Partial Differential Equations Inside Rectangular Domains, Subject to Initial, Boundary and Interface Conditions.
Int. J. Artif. Intell. Tools, 2020

Variance Counterbalancing for Stochastic Large-scale Learning.
Int. J. Artif. Intell. Tools, 2020

Critical Systems under Cyber Threats.
Proceedings of the 11th International Conference on Information, 2020

Intelligent Data Analytics from the Energy Economics of the Greek Debt Crisis.
Proceedings of the 11th International Conference on Information, 2020

Comparative Energy Information Analytics of Five European Economies.
Proceedings of the 11th International Conference on Information, 2020

Data-Based Defense-in-Depth of Critical Systems.
Proceedings of the Dynamic Data Driven Applications Systems, 2020

2018
Dynamic Data Driven Partitioning of Smart Grid Using Learning Methods.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems.
Eng. Appl. Artif. Intell., 2018

Load Management of Electric Vehicles Charging in New Generation Power Markets Based on Fuzzy Logic and the Concept of Virtual Budget.
Proceedings of the 9th International Conference on Information, 2018

2017
Editorial.
Int. J. Artif. Intell. Tools, 2017

A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm.
Proceedings of the 8th International Conference on Information, 2017

Ampacity level monitoring utilizing fuzzy logic theory in deregulated power markets.
Proceedings of the 8th International Conference on Information, 2017

Fuzzy Multi-kernel Approach in Intelligent Control of Energy Consumption in Smart Cities.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
Application of Artificial Neural Networks to Reliable Nuclear Data for Nonproliferation Modeling and Simulation.
Int. J. Monit. Surveillance Technol. Res., 2016

Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant.
Int. J. Monit. Surveillance Technol. Res., 2016

Backpropagation Neural Network for Interval Prediction of Three-Phase Ampacity Level in Power Systems.
Int. J. Monit. Surveillance Technol. Res., 2016

Fusion of Gaussian Process Kernel Regressors for Fault Prediction in Intelligent Energy Systems.
Int. J. Artif. Intell. Tools, 2016

Multi-kernel anticipatory approach to intelligent control with application to load management of electrical appliances.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016

Implementing smart energy systems: Integrating load and price forecasting for single parameter based demand response.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

Leaky bucket approach implementing anticipatory control for nodal power flow management in smart energy systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

MatGridGUI - A toolbox for GridLAB-D simulation platform.
Proceedings of the 7th International Conference on Information, 2016

Evaluation of Human Machine Interface (HMI) in Nuclear Power Plants with Fuzzy Logic method.
Proceedings of the 7th International Conference on Information, 2016

Three-phase congestion prediction utilizing artificial neural networks.
Proceedings of the 7th International Conference on Information, 2016

Privacy-Driven Electricity Group Demand Response in Smart Cities Using Particle Swarm Optimization.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Anticipatory system for detection of hidden facilities utilizing nodal load consumption information in smart grids.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Genetic Optimal Regression of Relevance Vector Machines for Electricity Pricing Signal Forecasting in Smart Grids.
IEEE Trans. Smart Grid, 2015

Application of Fireworks Algorithm in Gamma-Ray Spectrum Fitting for Radioisotope Identification.
Int. J. Swarm Intell. Res., 2015

A Review of Incentive Based Demand Response Methods in Smart Electricity Grids.
Int. J. Monit. Surveillance Technol. Res., 2015

An autonomous intelligent wheelchair for assisting people at need in smart homes: A case study.
Proceedings of the 6th International Conference on Information, 2015

Anticipation of minutes-ahead household active power consumption using Gaussian processes.
Proceedings of the 6th International Conference on Information, 2015

Anomaly detection in radiation signals using kernel machine intelligence.
Proceedings of the 6th International Conference on Information, 2015

Multiobjective Unfolding of Shared Power Consumption Pattern Using Genetic Algorithm for Estimating Individual Usage in Smart Cities.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Developing Intelligent Radiation Analysis Systems: A Hybrid Wave-Fuzzy Methodology for Analysis of Radiation Spectra.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Creep Rupture Forecasting: A Machine Learning Approach to Useful Life Estimation.
Int. J. Monit. Surveillance Technol. Res., 2014

Demos: A Distributed Model based on Autonomous, Intelligent Agents with Monitoring and Anticipatory Responses for Energy Management in Smart Cities.
Int. J. Monit. Surveillance Technol. Res., 2014

Assessment of Fuzzy Logic Radioisotopic Pattern Identifier on Gamma-Ray Signals with Application to Security.
Int. J. Monit. Surveillance Technol. Res., 2014

Chaotic neural networks for intelligent signal encryption.
Proceedings of the 5th International Conference on Information, 2014

Creep rupture forecasting for high performance energy systems.
Proceedings of the 5th International Conference on Information, 2014

Virtual cost approach: Electricity consumption scheduling for smart grids/cities in price-directed electricity markets.
Proceedings of the 5th International Conference on Information, 2014

2013
Neuro-SVM Anticipatory System for Online Monitoring of Radiation and Abrupt Change Detection.
Int. J. Monit. Surveillance Technol. Res., 2013

Layered-based approach to virtual storage for smart power systems.
Proceedings of the 4th International Conference on Information, 2013

2012
Optimal Assembly of Support Vector Regressors with Application to System Monitoring.
Int. J. Artif. Intell. Tools, 2012

2010
Towards an Energy Internet: A Game-Theoretic Approach to Price-Directed Energy Utilization.
Proceedings of the Energy-Efficient Computing and Networking, 2010

Smart Grids: Importance of Power Quality.
Proceedings of the Energy-Efficient Computing and Networking, 2010

2009
PEAKSEEK: A Statistical Processing Algorithm for Radiation Spectrum Peak Identification.
Proceedings of the ICTAI 2009, 2009

Engineering Solution to Nuclear Material Detection at Ports: Introducing the Novel iMASS Paradigm.
Proceedings of the ICTAI 2009, 2009

Expert System for Decision Making and Instructing Nuclear Resonance Fluorescence Cargo Interrogation.
Proceedings of the ICTAI 2009, 2009

Intelligent Order-Based Method for Synthesis of NRF Spectra and Detection of Hazardous Materials.
Proceedings of the ICTAI 2009, 2009

2007
Hazardous Material Identification Using a Neurofuzzy Methodology.
Int. J. Artif. Intell. Tools, 2007

DDDAS for Autonomic Interconnected Systems: The National Energy Infrastructure.
Proceedings of the Computational Science, 2007

Implementing Virtual Buffer for Electric Power Grids.
Proceedings of the Computational Science, 2007

2006
The Application of Neural Networks to Electric Power Grid Simulation.
Proceedings of the Artificial Neural Networks, 2006

Kernel Regression Based Short-Term Load Forecasting.
Proceedings of the Artificial Neural Networks, 2006

2003
Next-generation hearing prosthetics.
IEEE Robotics Autom. Mag., 2003

2001
Automating the analysis of option pricing algorithms through intelligent knowledge acquisition approaches.
IEEE Trans. Syst. Man Cybern. Part A, 2001

Neural-wavelet Methodology for Load Forecasting.
J. Intell. Robotic Syst., 2001

A Novel Neural-Wavelet Diagnostics Approach: Application to Magnetic Flowmeter.
Int. J. Artif. Intell. Tools, 2001

Generalized fuzzy indices for similarity matching.
Fuzzy Sets Syst., 2001

2000
New Generation Intelligent Hearing Prosthetics.
Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering, 2000

1999
Signal Trend Identification with Fuzzy Methods.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

Neurofuzzy Approaches for Advanced Hearing Devices.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

1998
Neurofuzzy approaches to anticipation: a new paradigm for intelligent systems.
IEEE Trans. Syst. Man Cybern. Part B, 1998

Financial prediction and trading strategies using neurofuzzy approaches.
IEEE Trans. Syst. Man Cybern. Part B, 1998

Neurofuzzy Approaches and Their Application to Nuclear Power Systems.
Comput. Artif. Intell., 1998

1997
Neurofuzzy Motion Planners for Intelligent Robots.
J. Intell. Robotic Syst., 1997

Neurofuzzy Anticipatory Systems: A New Approach to Intelligent Control.
Int. J. Artif. Intell. Tools, 1997

A New Hybrid Neural-Genetic Methodology for Improving Learning.
Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

Neurofuzzy characterization of financial time series in an anticipatory framework.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

1990
A Hybrid Expert System - Neural Networks Methodology for Anticipatory Control in a Process Environment.
Proceedings of the Third International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 1990, July 15-18, 1990, The Mills House Hotel, Charleston, SC, USA, 1990

Expert system driven fuzzy control application to power reactors.
Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

1989
Anticipatory monitoring and control in a process environment.
Proceedings of the Second International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, IEA/AIE 1989, June 6-9, 1989, Tullahoma, TN, USA, 1989


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