Miltiadis Alamaniotis
According to our database1,
Miltiadis Alamaniotis
authored at least 87 papers
between 2009 and 2023.
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Bibliography
2023
SoftwareX, February, 2023
Neural Comput. Appl., 2023
Synergism of Fuzzy Numbers and Data Smoothing for Abrupt Change Detection in Gamma-Ray Measurements.
Proceedings of the 14th International Conference on Information, 2023
Bulk Sample Analysis Using Associated Alpha Particle Neutron Generator and Artificial Neural Network.
Proceedings of the 14th International Conference on Information, 2023
Comparative Analysis of Thermogram and Pre-Processed HoG Images Using Machine Learning Classifiers.
Proceedings of the 14th International Conference on Information, 2023
Investigation of Novel Muon Imaging System in Cardiovascular Operations: A Simulation Approach.
Proceedings of the 14th International Conference on Information, 2023
A Quantum Machine Learning Methodology for Precise Appliance Identification in Smart Grids.
Proceedings of the 14th International Conference on Information, 2023
The Chameleon Systems: A new Approach in Anticipatory based Decision Making Systems with Application to Electricity Markets.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
2022
Int. J. Artif. Intell. Tools, 2022
An intelligent big data analytics method for two-dimensional non-residential building energy forecasting.
Intell. Decis. Technol., 2022
Intelligent System Utilizing HOG and CNN for Thermal Image-Based Detection of Wild Animals in Nocturnal Periods for Vehicle Safety.
Appl. Artif. Intell., 2022
Multi-kernel Analysis Method for Intelligent Data Processing with Application to Prediction Making.
Proceedings of the Intelligent Decision Technologies, 2022
Convolutional Neural Network Analysis of Tissue Remodeling and Myopathy in Peripheral Arterial Disease.
Proceedings of the 13th International Conference on Information, 2022
Radiation Sensor Placement using Reinforcement Learning in Nuclear Security Applications.
Proceedings of the 13th International Conference on Information, 2022
Deep Neural Network Based Methodology for Very-Short-Term Residential Load Forecasting.
Proceedings of the 13th International Conference on Information, 2022
2021
Survey of Machine Learning Algorithms to Detect Malware in Consumer Internet of Things Devices.
Int. J. Artif. Intell. Tools, 2021
Active advanced arousal system to alert and avoid the crepuscular animal based vehicle collision.
Intell. Decis. Technol., 2021
Load-Based Classification of Academic Buildings using Matrix Profile and Supervised Learning.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Irradiation-Driven Dynamic Path-Planning of Moving Airborne Solar Farms Using Reinforcement Learning.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Comparison of Image segmentation, HOG and CNN Techniques for the Animal Detection using Thermography Images in Automobile Applications.
Proceedings of the 12th International Conference on Information, 2021
Fuzzy Integration of kernel-based Gaussian Processes applied to Anomaly Detection in Nuclear Security.
Proceedings of the 12th International Conference on Information, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
2020
Fuzzy Leaky Bucket System for Intelligent Management of Consumer Electricity Elastic Load in Smart Grids.
Frontiers Artif. Intell., 2020
Design Optimization of a Novel Networked Electromagnetic Soft Actuators System Based on Branch and Bound Algorithm.
IEEE Access, 2020
Intelligent System for Detection of Wild Animals Using HOG and CNN in Automobile Applications.
Proceedings of the 11th International Conference on Information, 2020
Methods for Prediction Optimization of the Constrained State-Preserved Extreme Learning Machine.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019
Proceedings of the 10th International Conference on Information, 2019
Extreme Interval Electricity Price Forecasting of Wholesale Markets Integrating ELM and Fuzzy Inference.
Proceedings of the 10th International Conference on Information, 2019
Proceedings of the 10th International Conference on Information, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
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
Prediction of welding residual stresses using machine learning: Comparison between neural networks and neuro-fuzzy systems.
Appl. Soft Comput., 2018
Morphing to the Mean Approach of Anticipated Electricity Demand in Smart City Partitions Using Citizen Elasticities.
Proceedings of the IEEE International Smart Cities Conference, 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
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
2017
Integration of Gaussian Processes and Particle Swarm Optimization for Very-Short Term Wind Speed Forecasting in Smart Power.
Int. J. Monit. Surveillance Technol. Res., 2017
A three-stage scheme for consumers' partitioning using hierarchical clustering algorithm.
Proceedings of the 8th International Conference on Information, 2017
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
Evaluation of Human Machine Interface (HMI) on a Digital and Analog Control Room in Nuclear Power Plants Using a Fuzzy Logic Approach.
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
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
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
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
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
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
Fuzzy Integration of Support Vector Regression Models for Anticipatory Control of Complex Energy Systems.
Int. J. Monit. Surveillance Technol. Res., 2014
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
Anticipatory monitoring and control of complex energy systems using a fuzzy based fusion of support vector regressors.
Proceedings of the 5th International Conference on Information, 2014
2013
A Conceptual Model for Integrative Monitoring of Nuclear Power Plants Operational Activities Based on Historical Nuclear Incidents and Accidents.
Int. J. Monit. Surveillance Technol. Res., 2013
Neuro-SVM Anticipatory System for Online Monitoring of Radiation and Abrupt Change Detection.
Int. J. Monit. Surveillance Technol. Res., 2013
Proceedings of the 4th International Conference on Information, 2013
Application of support vector regression in removing Poisson fluctuation from pulse height gamma-ray spectra.
Proceedings of the 4th International Conference on Information, 2013
2012
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
2009
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