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CORDIS - Resultados de investigaciones de la UE
CORDIS

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Report on existing European material catalogues for construction (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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] (se abrirá en una nueva ventana)

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] (se abrirá en una nueva ventana)

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] (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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

Publicaciones

Sensors (se abrirá en una nueva ventana)

Autores: Izonin, Ivan; Muzyka, Roman; Tkachenko, Roman; Dronyuk, Ivanna; Yemets, Kyrylo; MITOULIS, STERGIOS ARISTOTELES
Publicado en: Sensors, Edición 24, ISSN 1424-8220
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/S24154762

Regression-based Model for Predicting Simulated vs Actual Building Performance Discrepancies (se abrirá en una nueva ventana)

Autores: Ivan Izonin, Roman Tkachenko, Rosana Caro, Antonio LaTorre de la Fuente, Kyrylo Yemets, Stergios Aristoteles Mitoulis
Publicado en: Procedia Computer Science, Edición 251, 2025, ISSN 1877-0509
Editor: 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 (se abrirá en una nueva ventana)

Autores: Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Publicado en: Big Data and Cognitive Computing, Edición 9, 2025, ISSN 2504-2289
Editor: MDPI AG
DOI: 10.3390/bdcc9020035

A transformer-based time series forecasting model with an efficient data preprocessing scheme (se abrirá en una nueva ventana)

Autores: Kyrylo Yemets, Michal Gregus
Publicado en: Bulletin of Electrical Engineering and Informatics, Edición 14, 2025, ISSN 2302-9285
Editor: 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 (se abrirá en una nueva ventana)

Autores: Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Publicado en: Sensors, Edición 25, 2025, ISSN 1424-8220
Editor: MDPI AG
DOI: 10.3390/s25030652

Nature-inspired swarm optimization paradigms for securing semantic web frameworks against DDoS attacks: a computational approach (se abrirá en una nueva ventana)

Autores: Chirag Ganguli, Shishir Kumar Shandilya, Ivan Izonin, Lesia Hentosh
Publicado en: Scientific Reports, Edición 15, 2025, ISSN 2045-2322
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-26058-1

Scientific Reports (se abrirá en una nueva ventana)

Autores: Shakhovska, Natalya; Mochurad, Lesia; Caro, Rosana; Argyroudis, Sotirios
Publicado en: Scientific Reports, Edición 15, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/S41598-024-85026-3

High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection (se abrirá en una nueva ventana)

Autores: Shakhovska, Natalya; Sydor, Bohdan; Liaskovska, Solomiya; Duran, Olga; Martyn, Yevgen; Віра, Володимир
Publicado en: computation, Edición 13, 2025, ISSN 2079-3197
Editor: MDPI
DOI: 10.3390/COMPUTATION13050120

Conditional generative AI for high-fidelity synthesis of hydrating cementitious microstructures (se abrirá en una nueva ventana)

Autores: Minfei Liang, Kun Feng, Jinbao Xie, Yuyang Wei, Sonia Contera, Erik Schlangen, Branko Šavija
Publicado en: Materials & Design, Edición 256, 2025, ISSN 0264-1275
Editor: Elsevier BV
DOI: 10.1016/J.MATDES.2025.114251

Systematic Generation and Evaluation of Synthetic Production Data for Industry 5.0 Optimization (se abrirá en una nueva ventana)

Autores: Solomiia Liaskovska, Sviatoslav Tyskyi, Yevgen Martyn, Andy T. Augousti, Volodymyr Kulyk
Publicado en: Technologies, Edición 13, 2025, ISSN 2227-7080
Editor: MDPI AG
DOI: 10.3390/technologies13020084

GRNN-based cascade ensemble model for non-destructive damage state identification small data approach (se abrirá en una nueva ventana)

Autores: Izonin, Ivan; Kazantzi, Athanasia; Tkachenko, Roman; MITOULIS, STERGIOS ARISTOTELES
Publicado en: Engineering with Computers, Edición 41, ISSN 1435-5663
Editor: Springer Nature
DOI: 10.1007/S00366-024-02048-1

Advancements in AI-Based Information Technologies: Solutions for Quality and Security (se abrirá en una nueva ventana)

Autores: Tetiana Hovorushchenko; Ivan Izonin; Hakan Kutucu
Publicado en: Systems, Edición 12, 2024, ISSN 2079-8954
Editor: MDPI
DOI: 10.3390/SYSTEMS12020058

Multi-family wavelet-based feature engineering method for short-term time series forecasting (se abrirá en una nueva ventana)

Autores: Kyrylo Yemets, Ivan Izonin, Stergios Aristoteles Mitoulis
Publicado en: Scientific Reports, Edición 15, 2025, ISSN 2045-2322
Editor: 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 (se abrirá en una nueva ventana)

Autores: Shakhovska, Natalya; Yakovyna, Vitaliy; Mysak, Maksym; MITOULIS, STERGIOS ARISTOTELES; Argyroudis, Sotirios; Syerov, Yuriy
Publicado en: Big Data and Cognitive Computing, Edición 8, ISSN 2504-2289
Editor: MDPI
DOI: 10.3390/BDCC8100136

Scientific Reports (se abrirá en una nueva ventana)

Autores: Ivan Izonin, Illia Nesterenko, Athanasia K. Kazantzi, Roman Tkachenko, Roman Muzyka, Stergios Aristoteles Mitoulis
Publicado en: Scientific Reports, Edición 14, 2024, ISSN 2045-2322
Editor: 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 (se abrirá en una nueva ventana)

Autores: Lesia Mochurad, Roman Levkovych
Publicado en: Scientific Reports, Edición 15, 2025, ISSN 2045-2322
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-14423-Z

Multi-Step Dynamic Ensemble Selection to Estimate Software Effort (se abrirá en una nueva ventana)

Autores: Akshay Jadhav; Shishir Kumar Shandilya; Ivan Izonin; Roman Muzyka
Publicado en: Applied Artificial Intelligence, Edición 38, 2024, ISSN 1087-6545
Editor: Taylor & Francis
DOI: 10.1080/08839514.2024.2351718

Site Evaluation and Data Modeling for Renewable Energy Integration: A Case Study in Seville, Spain (se abrirá en una nueva ventana)

Autores: Christos Pavlatos
Publicado en: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, Edición 21, 2025, ISSN 2224-3496
Editor: World Scientific and Engineering Academy and Society (WSEAS)
DOI: 10.37394/232015.2025.21.34

Quality and Security of Critical Infrastructure Systems (se abrirá en una nueva ventana)

Autores: Ivan Izonin, Tetiana Hovorushchenko, Shishir Kumar Shandilya
Publicado en: Big Data and Cognitive Computing, Edición 8, 2024, ISSN 2504-2289
Editor: MDPI
DOI: 10.3390/BDCC8010010

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