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Browsing by Author "Mporas, Iosif"
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2D Transformations of Energy Signals for Energy Disaggregation
Schirmer, Pascal; Mporas, Iosif (2022-09-22)The aim of Non-Intrusive Load Monitoring is to estimate the energy consumption of individual electrical appliances by disaggregating the overall power consumption that has been sampled from a smart meter at a house or ... -
Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection
Kolosov, Dimitrios; Kelefouras, Vasilios; Kourtessis, Pandelis; Mporas, Iosif (2022-10-13)Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, ... -
A brief review on nano phase change material-based polymer encapsulation for thermal energy storage systems
CHEN, Yong Kang; Hayat, Muhammad (Springer Nature, 2021-04-30)In recent years, considerable attention has been given to phase change materials (PCMs) that is suggested as a possible medium for thermal energy storage. PCM encapsulation technology is an efficient method of enhancing ... -
Classifying tree structures using elastic matching of sequence encodings
Mporas, Iosif (2015-09-02)Structures of tree topology are frequently encountered in nature and in a range of scientific domains. In this paper, a multi-step framework is presented to classify tree topologies introducing the idea of elastic matching ... -
Colour Constancy for Image of Non-Uniformly Lit Scenes
Hussain , Md Akmol; Sheikh-Akbari, Akbar; Mporas, Iosif (2019-05-15)Digital camera sensors are designed to record all incident light from a captured scene, but they are unable to distinguish between the colour of the light source and the true colour of objects. The resulting captured image ... -
Comparison of Machine Learning Algorithms for Evaluating Building Energy Efficiency Using Big Data Analytics
Egwim, Christian Nnaemeka; Alaka, Hafiz; Egunjobi, Oluwapelumi; Gomes, Alvaro; Mporas, Iosif (2022-09-26)Purpose: This study aims to compare and evaluate the application of commonly used machine learning (ML) algorithms used to develop models for assessing energy efficiency of buildings. Design/methodology/approach: This study ... -
Contactless Camera-Based Heart Rate and Respiratory Rate Monitoring Using AI on Hardware
Kolosov, Dimitrios; Kelefouras, Vasilios; Kourtessis, Pandelis; Mporas, Iosif (2023-05-07)Detecting vital signs by using a contactless camera-based approach can provide several advantages over traditional clinical methods, such as lower financial costs, reduced visit times, increased comfort, and enhanced safety ... -
Data-Driven Audio Feature Space Clustering for Automatic Sound Recognition in Radio Broadcast News
Mporas, Iosif; Theodorou, Theodoros; Fakotakis, Nikos (2017-04-07)In this paper we describe an automatic sound recognition scheme for radio broadcast news based on principal component clustering with respect to the discrimination ability of the principal components. Specifically, streams ... -
Device and Time Invariant Features for Transferable Non-Intrusive Load Monitoring
Schirmer, Pascal; Mporas, Iosif (2022-04-02)Non-Intrusive Load Monitoring aims to extract the energy consumption of individual electrical appliances through disaggregation of the total power consumption as measured by a single smart meter in a household. Although ... -
Double Fourier Integral Analysis based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation
Schirmer, Pascal A.; Mporas, Iosif (2021-06-16)Non-Intrusive Load Monitoring aims to extract the energy consumption of individual electrical appliances through disaggregation of the total power load measured by a single smart-meter. In this article we introduce Double ... -
Energy Disaggregation Using Elastic Matching Algorithms
Schirmer, Pascal; Mporas, Iosif; Paraskevas, Michael (2020-01-06)In this article an energy disaggregation architecture using elastic matching algorithms is presented. The architecture uses a database of reference energy consumption signatures and compares them with incoming energy ... -
Energy Disaggregation Using Two-Stage Fusion of Binary Device Detectors
Schirmer, Pascal; Mporas, Iosif; Sheikh-Akbari, Akbar (2020-05-01)A data-driven methodology to improve the energy disaggregation accuracy during Non-Intrusive Load Monitoring is proposed. In detail, the method uses a two-stage classification scheme, with the first stage consisting of ... -
Estimation of the Microbiological Quality of Meat using Rapid and Non-Invasive Spectroscopic Sensors
Fengou, Lemonia Christina; Mporas, Iosif; Spyrelli, Evgenia; Lianou, Alexandra; Nychas, George-John (2020-06-08)Spectroscopic methods in tandem with machine learning methodologies have attracted considerable research interest for the estimation of food quality. The objective of this study was the evaluation of Fourier transform ... -
Evaluation of Big Data based CNN Models in Classification of Skin Lesions with Melanoma
Naronglerdrit, Prasitthichai; Mporas, Iosif (2021-01-01)This chapter presents a methodology for diagnosis of pigmented skin lesions using convolutional neural networks. The architecture is based on convolutional neural networks and it is evaluated using new CNN models as well ... -
Evaluation of Features in Detection of Dislike Responses to Audio–Visual Stimuli from EEG Signals
Feradov, Firgan; Mporas, Iosif; Ganchev, Todor (2020-04-20)There is a strong correlation between the like/dislike responses to audio–visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection ... -
A high-performance matrix–matrix multiplication methodology for CPU and GPU architectures
Mporas, Iosif; Kelefouras, Vasilios; Kritikakou, Angeliki; Kolonias, Vasilios (2016-03-01)Current compilers cannot generate code that can compete with hand-tuned code in efficiency, even for a simple kernel like matrix–matrix multiplication (MMM). A key step in program optimization is the estimation of optimal ... -
HyperVein: A Hyperspectral Image Dataset for Human Vein Detection
Ndu, Henry; Sheikh-Akbari, Akbar; Deng, Jiamei; Mporas, Iosif (2024-02-08)HyperSpectral Imaging (HSI) plays a pivotal role in various fields, including medical diagnostics, where precise human vein detection is crucial. HyperSpectral (HS) image data are very large and can cause computational ... -
Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation
Schirmer, Pascal; Mporas, Iosif; Sheikh-Akbari, Akbar (2021-04-27)Smart meters are used to measure the energy consumption of households. Specifically, within the energy consumption task, a smart meter must be used for load forecasting, the reduction in consumer bills as well as the ... -
Illegal Logging Detection Based on Acoustic Surveillance of Forest
Mporas, Iosif; Perikos, Isidoros; Kelefouras, Vasilios; Paraskevas, Michael (2020-10-21)In this article, we present a framework for automatic detection of logging activity in forests using audio recordings. The framework was evaluated in terms of logging detection classification performance and various widely ... -
Improving classification of epileptic and non-epileptic EEG events by feature selection
Mporas, Iosif; Pippa, Evangelia; Zacharaki, Evangelia I.; Tsirka, Vasiliki; Richardson, Mark P.; Koutroumanidis, Michael; Megalooikonomou, Vasileios (2016-01-01)Correctly diagnosing generalized epileptic from non-epileptic episodes, such as psychogenic non epileptic seizures (PNES) and vasovagal or vasodepressor syncope (VVS), despite its importance for the administration of ...