{"id":1457,"date":"2026-08-22T09:39:15","date_gmt":"2026-08-22T06:39:15","guid":{"rendered":"https:\/\/energy.uth.gr\/?page_id=1457"},"modified":"2026-08-25T21:12:30","modified_gmt":"2026-08-25T18:12:30","slug":"publications-2","status":"publish","type":"page","link":"https:\/\/energy.uth.gr\/en\/research\/publications-2\/","title":{"rendered":"Publications"},"content":{"rendered":"<h3>Journals<\/h3>\n<ul>\n<li><strong>Theodosiou T<\/strong> and Rekatsinas C. Physics-Informed Neural Networks without Loss Balancing: A Direct Term Scaling Approach for Nonlinear 1D Problems [version 2; peer review: 1 approved]. F1000Research 2026, 14:1252 (<a href=\"https:\/\/doi.org\/10.12688\/f1000research.169129.2\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.12688\/f1000research.169129.2<\/a>)<\/li>\n<li>T. Tziolas, K. Papageorgiou, <strong>T. Theodosiou<\/strong>, D. Ioannidis, N. Dimitriou, G. Tinker, <strong>E. Papageorgiou<\/strong>, Explainable AI Methods for Identification of Glue Volume Deficiencies in Printed Circuit Boards. Applied Sciences, 2025; 15(16), 9061. <a href=\"https:\/\/doi.org\/10.3390\/app15169061\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3390\/app15169061<\/a>.<\/li>\n<li>Marcelo Forte, Cindy P. Guzm\u00e1n, <strong>A. Lekidis<\/strong>, Hugo Morais, Clustering Methodologies for Flexibility Characterization of Electric Vehicles Supply Equipment, Green Energy and Intelligent Transportation, Year: 2025, URL: <a href=\"https:\/\/doi.org\/10.1016\/j.geits.2025.100304\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.geits.2025.100304<\/a><\/li>\n<li>C. S. Rekatsinas, <strong>T.C. Theodosiou<\/strong>, D.K. Siorikis, C.V. Nastos, K. Tsiaktanis, N.A. Chrysochoidis, D.A. Saravanos, Micromechanics-based Multi-scale Framework with Strain-Rate Effects for the Simulation of Ballistic Impact on Composite Laminates. Journal of Composite Materials, 2024;58(27):2897-2914.<br \/>\n<a href=\"https:\/\/doi.org\/10.1177\/00219983241283618\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1177\/00219983241283618<\/a><\/li>\n<li>T. Tziolas, K. Papageorgiou, <strong>T. Theodosiou<\/strong>, S. Pantoja, N. Dimitriou, <strong>E. I. Papageorgiou<\/strong>, Employing Deep Learning for Defect Detection in Antenna Assembly. Journal of Electrical Systems, 20-10s(2024):1940-1950. <a href=\"https:\/\/journal.esrgroups.org\/jes\/article\/view\/5484\/3936\" target=\"_blank\" rel=\"noopener\">https:\/\/journal.esrgroups.org\/jes\/article\/view\/5484\/3936<\/a><\/li>\n<li>A. Anastasiadis, <strong>A. Lekidis<\/strong>, Ioannis Pierros, A. Polyzakis, G. Vokas, <strong>E. Papageorgiou<\/strong>, Energy Cost Optimization for Incorporating Energy Hubs into a Smart Microgrid with RESs, CHP, and EVs, Energies, Year: 2024, URL: <a href=\"https:\/\/doi.org\/10.3390\/en17122827\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3390\/en17122827<\/a><\/li>\n<li>C. S. Rekatsinas, D. K. Siorikis, C. V. Nastos, N. A. Chrysochoidis, <strong>T. C. Theodosiou<\/strong>, A. S. Yigit, A. P. Christoforou, D. A. Saravanos, An efficient Computational Framework for Hailstone Impacts on Composite Plates with a Semi-Empirical Viscoplastic Contact Law. International Journal of Impact Engineering. 178 (2023) p. 104628.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.ijimpeng.2023.104628\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.ijimpeng.2023.104628<\/a><\/li>\n<li><strong>E. Papageorgiou<\/strong>, P. Groumpos, An overview of energy management using fuzzy cognitive maps, Journal of Smart Environments and Green Computing, Year: 2023, <a href=\"http:\/\/dx.doi.org\/10.20517\/jsegc.2022.21\" target=\"_blank\" rel=\"noopener\">http:\/\/dx.doi.org\/10.20517\/jsegc.2022.21<\/a><\/li>\n<li>Agorastos-Dimitrios Samaras, S. Moustakidis, Ioannis D. Apostolopoulos, <strong>N. Papandrianos<\/strong>, <strong>E. Papageorgiou<\/strong>, Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach, Scientific Reports, 2023, <a href=\"https:\/\/doi.org\/10.1038\/s41598-023-33500-9\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1038\/s41598-023-33500-9<\/a><\/li>\n<li>K. Papageorgiou, <strong>T. Theodosiou<\/strong>, A. Rapti, <strong>E. Papageorgiou<\/strong>, N. Dimitriou, D. Tzovaras, G. Margetis, A Systematic Review on Machine Learning Methods for Root Cause Analysis towards Zero-Defect Manufacturing. Frontiers in Manufacturing Technology \/ Life Cycle Engineering 2 (2022).<br \/>\n<a href=\"https:\/\/doi.org\/10.3389\/fmtec.2022.972712\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3389\/fmtec.2022.972712<\/a><\/li>\n<li><strong>\u03a4. C. Theodosiou<\/strong>, Derivative-orthogonal non-uniform B-Spline wavelets. Mathematics and Computers in Simulation. 188 (2021) 368\u2013388.<br \/>\n<a href=\"https:\/\/doi.org\/10.1016\/j.matcom.2021.04.012\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.matcom.2021.04.012<\/a><\/li>\n<\/ul>\n<h3>Conferences<\/h3>\n<ul>\n<li>Theodoros Tziolas, Konstantinos Papageorgiou, Anna Feleki, <strong>Elpiniki Papageorgiou<\/strong>, <strong>Theodosios Theodosiou<\/strong>, Aikaterini Rapti, Sebastian Pantoja, Andreas Cuinas, \u201cDeep Fuzzy Cognitive Maps for Defect Inspection in Antenna Assembly\u201d. ISM2023: The 5th International Conference on Industry 4.0 and Smart Manufacturing, Iscte &#8211; University Institute of Lisbon, Nov. 22-24, 2023.<\/li>\n<li>Theodoros Tziolas, Konstantinos Papageorgiou, <strong>Theodosios Theodosiou<\/strong>, Theofilos Mastos, Angelos Papadopoulos, <strong>Elpiniki Papageorgiou<\/strong> and Aikaterini Rapti, Root Cause Analysis with Fuzzy Cognitive Maps and Correlation Coefficient. EUSFLAT 2023: 13th Conference of the European Society for Fuzzy Logic and Technology, September 4-8, 2023, Palma, Spain. Paper No: 159<\/li>\n<li>Theodoros Tziolas, Konstantinos Papageorgiou, <strong>Theodosios Theodosiou<\/strong>, Aikaterini Rapti, Sebastian Pantoja, Andreas Cuinas, Paschalis Charalampous, Nikolaos Dimitriou, Dimitrios Tzovaras and <strong>Elpiniki Papageorgiou<\/strong>, Defect Detection in Antennas Assembly Process with EfficientDet and Transfer Learning, MLDM2023: 18th International Conference on Machine Learning and Data Mining, New York, NY, United States, July 15-19, 2023. Paper No: 50<\/li>\n<li>A. Feleki, K. Papageorgiou, T. Tziolas, A. Rapti, <strong>T. C. Theodosiou<\/strong>, S. Pantoja, P. Charalampous, N. Dimitriou, D. Tzovaras, A. Cuinas, J. Mourelle, <strong>E. Papageorgiou<\/strong>, A. B\u00f6ttinger, EfficientDet Application for Detection of Incorrect Assemblies in the Antenna Manufacturing Process. SMART2023: 10th ECCOMAS Thematic Conference on Smart Structures and Materials, 3-5 July 2023, Patras, Greece. pp. 1270-1278.<br \/>\n<a href=\"https:\/\/doi.org\/10.7712\/150123.9874.444639\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.7712\/150123.9874.444639<\/a><\/li>\n<li><strong>\u03a4. C. Theodosiou<\/strong>, A. Feleki, K. Papageorgiou, T. Tziolas, A. Rapti, S. Pantoja, P. Charalampous, N. Dimitriou, D. Tzovaras, A. Cuinas, J. Mourelle, <strong>E. Papageorgiou<\/strong>, A. B\u00f6ttinger, CenterNet-based Models for the Detection of Defects in an Industrial Antenna Assembly Process, SMART2023: 10th ECCOMAS Thematic Conference on Smart Structures and Materials, 3-5 July 2023, Patras, Greece. pp. 1209-1220.<br \/>\n<a href=\"https:\/\/doi.org\/10.7712\/150123.9869.444634\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.7712\/150123.9869.444634<\/a><\/li>\n<li>G. Margetis, N. Dimitriou, <strong>E. Papageorgiou, T. Theodosiou<\/strong>, D. Gavgiotaki, K. C. Apostolakis, S. Ntoa, D. Tzovaras, C. Stephanidis, An Elevator Calibration Recommender System for Effective Defect Detection and Prevention. SMART2023: 10th ECCOMAS Thematic Conference on Smart Structures and Materials, 3-6 July 2023, Patras, Greece. pp. 1234-1245<br \/>\n<a href=\"https:\/\/doi.org\/10.7712\/150123.9871.446205\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.7712\/150123.9871.446205<\/a><\/li>\n<li><strong>\u03a4. Theodosiou<\/strong>, A. Rapti, K. Papageorgiou, T. Tziolas, <strong>E. Papageorgiou<\/strong>, N. Dimitriou, G Margietis and D. Tzovaras, A Review Study on ML-based Methods for Defect-Pattern Recognition in Wafer Maps, in: The 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM2022), Upper Austria University of Applied Sciences &#8211; Hagenberg Campus &#8211; Linz, Austria, Nov. 2-4 2022. <a href=\"https:\/\/doi.org\/10.1016\/j.procs.2022.12.253\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.procs.2022.12.253<\/a><\/li>\n<li>T. Tziolas, <strong>T. Theodosiou<\/strong>, K. Papageorgiou, A. Rapti, N. Dimitriou, <strong>E. Papageorgiou<\/strong>, G. Margietis, D. Tzovaras, Wafer Map Defect Pattern Recognition using Imbalanced Datasets, in: The Thirteen International Conference on Information, Intelligence, Systems and Applications (IISA 2022) 18-20 Jul 2022, Corfu, Greece.<br \/>\n<a href=\"https:\/\/doi.org\/10.1109\/IISA56318.2022.9904402\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1109\/IISA56318.2022.9904402<\/a><\/li>\n<li>\u03a4. Tziolas, K. Papageorgiou, <strong>T. Theodosiou, E. Papageorgiou<\/strong>, T. Mastos, and A. Papadopoulos, Autoencoders for Anomaly Detection in an Industrial Multivariate Time Series Dataset, in: 8th International conference on Time Series and Forecasting (ITISE2022), Gran Canaria, Spain, June 27-30 2022, p. 23.<br \/>\n<a href=\"https:\/\/doi.org\/10.3390\/engproc2022018023\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.3390\/engproc2022018023<\/a><\/li>\n<li><strong>E. I. Papageorgiou, T. Theodosiou,<\/strong> G. Margetis, N. Dimitriou, P. Charalampous, D. Tzovaras, I. Samakovlis, Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing, in: The Twelfth International Conference on Information, Intelligence, Systems and Applications (IISA 2021), Online, 2021: p. 7. <a href=\"https:\/\/doi.org\/10.1109\/IISA52424.2021.9555499\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1109\/IISA52424.2021.9555499<\/a><\/li>\n<\/ul>\n<h3>Books<\/h3>\n<ul>\n<li><strong>Th. Theodosiou<\/strong>, Design of Mechanisms and Structures with FreeCAD, Klidarithmos Publications. <i>In press &#8211; Expected to be published in 2026.<\/i><\/li>\n<li><strong>Th. Theodosiou<\/strong>, Design of Mechanisms and Structures with FreeCAD, Klidarithmos Publications, 2021. ISBN: 978-960-645-173-7. 1st Edition: 17\/05\/2021.<br \/>\n<a href=\"https:\/\/www.klidarithmos.gr\/sxediasi-mixanismon-kai-kataskevon-me-to-freecad\" target=\"_blank\" rel=\"noopener\">https:\/\/www.klidarithmos.gr\/sxediasi-mixanismon-kai-kataskevon-me-to-freecad<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Journals Theodosiou T and Rekatsinas C. Physics-Informed Neural Networks without Loss Balancing: A Direct Term Scaling Approach for Nonlinear 1D Problems [version 2; peer review: 1 approved]. F1000Research 2026, 14:1252 (https:\/\/doi.org\/10.12688\/f1000research.169129.2) T. Tziolas, K. Papageorgiou, T. Theodosiou, D. Ioannidis, N. Dimitriou, G. Tinker, E. Papageorgiou, Explainable AI Methods for Identification of Glue Volume Deficiencies in [&hellip;]<\/p>\n","protected":false},"author":156,"featured_media":0,"parent":1463,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-1457","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/pages\/1457","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/users\/156"}],"replies":[{"embeddable":true,"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/comments?post=1457"}],"version-history":[{"count":1,"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/pages\/1457\/revisions"}],"predecessor-version":[{"id":1458,"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/pages\/1457\/revisions\/1458"}],"up":[{"embeddable":true,"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/pages\/1463"}],"wp:attachment":[{"href":"https:\/\/energy.uth.gr\/en\/wp-json\/wp\/v2\/media?parent=1457"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}