Vulnerabilities Manager, a platform for linking vulnerability data sources. - Konstantinos Touloumis; Ariadni Michalitsi-Psarrou; Panagiotis Kapsalis; Anna Georgiadou; Dimitris Askounis (IEEE BigData, 2021)

Forecasting of short-term PV production in energy communities through Machine Learning and Deep Learning algorithms. - Nikos Dimitropoulos; Nikolaos Sofias; Panagiotis Kapsalis; Zoi Mylona; Vangelis Marinakis; Niccolo Primo; Haris Ch. Doukas (IISA, 2021)

Comparative analysis of AI-based models for short-term photovoltaic power forecasting in energy cooperatives. - Nikos Dimitropoulos; Zoi Mylona; Vangelis Marinakis; Panagiotis Kapsalis; Nikolaos Sofias; Niccolo Primo; Yannis Maniatis; Haris Ch. Doukas (Intell. Decis. Technol., 2021)

Intelligent Querying for Implementing Building Aggregation Pipelines. - Konstantinos Alexakis; Panagiotis Kapsalis; Zoi Mylona; Georgios Kormpakis; Evangelos Karakolis; Christos Ntanos; Dimitris Askounis (IISA, 2022)

A Reasoning Engine Architecture for Building Energy Metadata Management. - Panagiotis Kapsalis; Georgios Kormpakis; Konstantinos A. Psilopanagiotis; Evangelos Karakolis; Spiros Mouzakitis; Dimitris Askounis (IISA, 2022)

An end-to-end approach for scalable real time Anomaly detection in smart buildings. - Evangelos Karakolis; Konstantinos Alexakis; Panagiotis Kapsalis; Spiros Mouzakitis; John E. Psarras (IISA, 2022)

An Advanced Visualisation Engine with Role-Based Access Control for Building Energy Visual Analytics. - Georgios Kormpakis; Panagiotis Kapsalis; Konstantinos A. Psilopanagiotis; Sotiris Pelekis; Evangelos Karakolis; Haris Ch. Doukas (IISA, 2022)

Optimising Maritime Processes Via Artificial Intelligence: The VesselAI Concept And Use Cases. - Spiros Mouzakitis; Christos Kontzinos; Panagiotis Kapsalis; Ioanna Kanellou; Georgios Kormpakis; Giannis Tsapelas; Dimitris Askounis (IISA, 2022)

Enabling Maritime Digitalization by Extreme-Scale Analytics, AI and Digital Twins: The Vesselai Architecture. - Spiros Mouzakitis; Christos Kontzinos; John Tsapelas; Ioanna Kanellou; Georgios Kormpakis; Panagiotis Kapsalis; Dimitris Askounis (IntelliSys (3), 2022)

On-Premise Artificial Intelligence as a Service for Small and Medium Size Setups. - Carolina Fortuna; Din Music; Gregor Cerar; Andrej Campa; Panagiotis Kapsalis; Mihael Mohorcic (CoRR, 2022)

A Web-Based Service Supporting Local Governments in SECAP Implementation activities. - Nikos Dimitropoulos; Eliza Milioni; Marcelo Lampkowski; Elissaios Sarmas; Panagiotis Kapsalis; Vangelis Marinakis; Haris Ch. Doukas (IISA, 2023)

Building a Data Lake for Smart Building Data: Architecture for Data Quality and Interoperability. - José L. Hernández; Susana Martin; Panagiotis Kapsalis; Kyriakos Katsigarakis; Elissaios Sarmas; Vangelis Marinakis (IISA, 2023)

An Energy Efficiency Marketplace for Buildings: The ENERGATE System Architecture. - Panagiotis Kapsalis; Aikaterini Papapostolou; Konstantinos Touloumis; Ioanna Andreoulaki; Zoi Mylona; Haris Ch. Doukas (IISA, 2023)

Energy Sector Digitilisation: A Security Framework Application for Role-Based Access Management. - Georgios Kormpakis; Panagiotis Kapsalis; Konstantinos Alexakis; Zoi Mylona; Sotiris Pelekis; Vangelis Marinakis (IISA, 2023)

Comparison of Machine Learning Algorithms For Predicting CO2Emissions in the maritime domain. - Vasilis Michalakopoulos; Loukas Ilias; Panagiotis Kapsalis; Spiros Mouzakitis; Dimitris Askounis (IISA, 2023)

A Next Generation Library of AI-Based Data-Driven Services for the Built Environment. - Elissaios Sarmas; Stathis Stamatopoulos; Panagiotis Kapsalis; Konstantinos Touloumis; Vangelis Marinakis (IISA, 2023)

A Unified Framework for Querying Dynamic and Semantic Data Sources. - Konstantinos Touloumis; Panagiotis Kapsalis; Elissaios Sarmas; Stathis Stamatopoulos; Evangelos Karakolis; Vaggelis Marinakis (IISA, 2023)

A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption. - Loukas Ilias; Panagiotis Kapsalis; Spiros Mouzakitis; Dimitris Askounis (IEEE Access, 2023)

AI/ML-Assisted Threat Detection and Mitigation in 6G Networks with Digital Twins: The HORSE Approach. - Fabrizio Granelli; Malak Qaisi; Panagiotis Kapsalis; Panagiotis K. Gkonis; Nikolaos Nomikos; Iulisloi Zacarias; Admela Jukan; Panagiotis Trakadas (CAMAD, 2024)

A Next Generation Architecture for Internet of Things in the Automotive Supply Chain for Electric Vehicles. - Panagiotis Kapsalis; Giovanni Rimassa; Engin Zeydan; Selva Via; Fulvio Risso; Carla-Fabiana Chiasserini; Giulio Vivo (MobiHoc, 2024)

Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture. - Loukas Ilias; Giannis Tsapelas; Panagiotis Kapsalis; Vasilis Michalakopoulos; Giorgos Kormpakis; Spiros Mouzakitis; Dimitris Askounis (Frontiers Big Data, 2024)