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CORDIS - Risultati della ricerca dell’UE
CORDIS

Innovative methodologies for the design of Zero-Emission and cost-effective Buildings enhanced by Artificial Intelligence

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Report on existing European material catalogues for construction (si apre in una nuova finestra)

This report will compile the different catalogues that contain information on performance, sustainability aspects and/or cost of mature construction materials selected from a complete survey at a European level. An analysis of the structure of the catalogues, their access requirements and the commonalities and differences between them will be included.

Report on the methods and models for the simulation error minimisation (si apre in una nuova finestra)

We will review and analyse the existing methods and models for the simulation error minimization and corresponding tools for it. We will prepare a report based on the results obtained. This will help determine the direction of execution (D5.5)

Methodology Design Handbook [MDH] (si apre in una nuova finestra)

In this document, the best strategy to ambitiously tackle the ZEB optimization problem will be formulated in order to guarantee the quality and robustness of the IA proposed solutions. A detailed description on inputs/outputs, constraints, quality functions and freedom degree of the solution space will be presented.

ZEBAI Methodology Handbook [ZMH] (si apre in una nuova finestra)

The methodology handbook proposes new design methodologies and related design processes that have been used for the design of zero-emission and cost-effective buildings.

Data Management Plan [DMP] (si apre in una nuova finestra)

This document describes the DM life cycle for the data to be collected, stored, processed, shared, and/or generated. It includes information on the data's format, collection methodology, storage, backup, sharing and access, analysis and processing, ethics and legal considerations, and roles and responsibilities of the individuals involved. This deliverable will be in effect throughout the project. An initial release will be provided in month 6, but updates will be delivered in month 30 and 60.

Retrospective cases dataset (BIM building models and sensor datasets) (si apre in una nuova finestra)

We will collect a dataset of retrospective cases of monitored buildings already existing and their corresponding digital models for simulation.

Pubblicazioni

Sensors (si apre in una nuova finestra)

Autori: Izonin, Ivan; Muzyka, Roman; Tkachenko, Roman; Dronyuk, Ivanna; Yemets, Kyrylo; MITOULIS, STERGIOS ARISTOTELES
Pubblicato in: Sensors, Numero 24, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/S24154762

Regression-based Model for Predicting Simulated vs Actual Building Performance Discrepancies (si apre in una nuova finestra)

Autori: Ivan Izonin, Roman Tkachenko, Rosana Caro, Antonio LaTorre de la Fuente, Kyrylo Yemets, Stergios Aristoteles Mitoulis
Pubblicato in: Procedia Computer Science, Numero 251, 2025, ISSN 1877-0509
Editore: Elsevier BV
DOI: 10.1016/j.procs.2024.11.161

Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme (si apre in una nuova finestra)

Autori: Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Pubblicato in: Big Data and Cognitive Computing, Numero 9, 2025, ISSN 2504-2289
Editore: MDPI AG
DOI: 10.3390/bdcc9020035

A transformer-based time series forecasting model with an efficient data preprocessing scheme (si apre in una nuova finestra)

Autori: Kyrylo Yemets, Michal Gregus
Pubblicato in: Bulletin of Electrical Engineering and Informatics, Numero 14, 2025, ISSN 2302-9285
Editore: Institute of Advanced Engineering and Science
DOI: 10.11591/EEI.V14I4.9280

Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction (si apre in una nuova finestra)

Autori: Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Pubblicato in: Sensors, Numero 25, 2025, ISSN 1424-8220
Editore: MDPI AG
DOI: 10.3390/s25030652

Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach (si apre in una nuova finestra)

Autori: Chirag Ganguli, Shishir Kumar Shandilya, Ivan Izonin, Lesia Hentosh
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-26058-1

Scientific Reports (si apre in una nuova finestra)

Autori: Shakhovska, Natalya; Mochurad, Lesia; Caro, Rosana; Argyroudis, Sotirios
Pubblicato in: Scientific Reports, Numero 15, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/S41598-024-85026-3

High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection (si apre in una nuova finestra)

Autori: Shakhovska, Natalya; Sydor, Bohdan; Liaskovska, Solomiya; Duran, Olga; Martyn, Yevgen; Віра, Володимир
Pubblicato in: computation, Numero 13, 2025, ISSN 2079-3197
Editore: MDPI
DOI: 10.3390/COMPUTATION13050120

Conditional generative AI for high-fidelity synthesis of hydrating cementitious microstructures (si apre in una nuova finestra)

Autori: Minfei Liang, Kun Feng, Jinbao Xie, Yuyang Wei, Sonia Contera, Erik Schlangen, Branko Šavija
Pubblicato in: Materials & Design, Numero 256, 2025, ISSN 0264-1275
Editore: Elsevier BV
DOI: 10.1016/J.MATDES.2025.114251

Systematic Generation and Evaluation of Synthetic Production Data for Industry 5.0 Optimization (si apre in una nuova finestra)

Autori: Solomiia Liaskovska, Sviatoslav Tyskyi, Yevgen Martyn, Andy T. Augousti, Volodymyr Kulyk
Pubblicato in: Technologies, Numero 13, 2025, ISSN 2227-7080
Editore: MDPI AG
DOI: 10.3390/technologies13020084

GRNN-based cascade ensemble model for non-destructive damage state identification small data approach (si apre in una nuova finestra)

Autori: Izonin, Ivan; Kazantzi, Athanasia; Tkachenko, Roman; MITOULIS, STERGIOS ARISTOTELES
Pubblicato in: Engineering with Computers, Numero 41, ISSN 1435-5663
Editore: Springer Nature
DOI: 10.1007/S00366-024-02048-1

Advancements in AI-Based Information Technologies: Solutions for Quality and Security (si apre in una nuova finestra)

Autori: Tetiana Hovorushchenko; Ivan Izonin; Hakan Kutucu
Pubblicato in: Systems, Numero 12, 2024, ISSN 2079-8954
Editore: MDPI
DOI: 10.3390/SYSTEMS12020058

Multi-family wavelet-based feature engineering method for short-term time series forecasting (si apre in una nuova finestra)

Autori: Kyrylo Yemets, Ivan Izonin, Stergios Aristoteles Mitoulis
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-26685-8

Real-Time Monitoring of Road Networks for Pavement Damage Detection Based on Preprocessing and Neural Networks (si apre in una nuova finestra)

Autori: Shakhovska, Natalya; Yakovyna, Vitaliy; Mysak, Maksym; MITOULIS, STERGIOS ARISTOTELES; Argyroudis, Sotirios; Syerov, Yuriy
Pubblicato in: Big Data and Cognitive Computing, Numero 8, ISSN 2504-2289
Editore: MDPI
DOI: 10.3390/BDCC8100136

Scientific Reports (si apre in una nuova finestra)

Autori: Ivan Izonin, Illia Nesterenko, Athanasia K. Kazantzi, Roman Tkachenko, Roman Muzyka, Stergios Aristoteles Mitoulis
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/S41598-024-73738-5

TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency (si apre in una nuova finestra)

Autori: Lesia Mochurad, Roman Levkovych
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-14423-Z

Multi-Step Dynamic Ensemble Selection to Estimate Software Effort (si apre in una nuova finestra)

Autori: Akshay Jadhav; Shishir Kumar Shandilya; Ivan Izonin; Roman Muzyka
Pubblicato in: Applied Artificial Intelligence, Numero 38, 2024, ISSN 1087-6545
Editore: Taylor & Francis
DOI: 10.1080/08839514.2024.2351718

Site Evaluation and Data Modeling for Renewable Energy Integration: A Case Study in Seville, Spain (si apre in una nuova finestra)

Autori: Christos Pavlatos
Pubblicato in: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, Numero 21, 2025, ISSN 2224-3496
Editore: World Scientific and Engineering Academy and Society (WSEAS)
DOI: 10.37394/232015.2025.21.34

Quality and Security of Critical Infrastructure Systems (si apre in una nuova finestra)

Autori: Ivan Izonin, Tetiana Hovorushchenko, Shishir Kumar Shandilya
Pubblicato in: Big Data and Cognitive Computing, Numero 8, 2024, ISSN 2504-2289
Editore: MDPI
DOI: 10.3390/BDCC8010010

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