| Data harmonisation as a key to enable digitalisation of the food sector: A review A Zeb, JP Soininen, N Sozer Food and Bioproducts Processing 127, 360-370, 2021 | 48 | 2021 |
| Physics-based digital twins merging with machines: Cases of mobile log crane and rotating machine E Kurvinen, A Kutvonen, J Ukko, Q Khadim, YS Hagh, S Jaiswal, N Neisi, ... IEEE Access 10, 45962-45978, 2022 | 25 | 2022 |
| LED lightbulbs as a source of electricity saving in buildings A Zeb, M de Andrade Romero, D Baiguskarov, S Aitbayev, K Strelets Matec Web of conferences 73, 02004, 2016 | 23 | 2016 |
| A novel machine learning-based approach for induction machine fault classifier development—a broken rotor bar case study M Tahkola, Á Szücs, J Halme, A Zeb, J Keränen Energies 15 (9), 3317, 2022 | 8 | 2022 |
| On the alleviation of imminent technical and business challenges of long-lasting functional digital twins A Zeb, J Kortelainen, T Rantala, M Saunila, J Ukko Computers in Industry 141, 103701, 2022 | 6 | 2022 |
| Developing deep learning surrogate models for digital twins in mineral processing–A case study on data-driven multivariate multistep forecasting A Zeb, J Linnosmaa, M Seppi, O Saarela Minerals Engineering 216, 108867, 2024 | 5 | 2024 |
| IDENTIFICATION OF SITES FOR ESTABLISHING PHOTOVOLTAIC SOLAR FARMS IN PAKISTAN USING SOLAR GEOMETRY K Azam, A Shakoor, S Maqsood, M Habib, M Fahad, A Zeb Journal of Engineering and Applied Sciences 36, 201-210, 2017 | 3 | 2017 |
| Design rules for steam condensate systems A Zeb Lappeenranta-Lahti University of Technology LUT, 2017 | 3 | 2017 |
| A microservices-based architecture for data and software management of heavy equipment digital twins V Zhidchenko, E Startcev, J Kortelainen, A Zeb, L Torvikoski, S Torkabadi, ... 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 1-8, 2023 | 2 | 2023 |
| Circular design, state of the art review: Technical design point of view A Zeb, J Kortelainen VTT Technical Research Centre of Finland, 2021 | 2 | 2021 |
| Web Ontology Language data modelling of Modelica simulation models A Zeb, J Kortelainen VTT Technical Research Centre of Finland, 2021 | 2 | 2021 |
| Object detection for the analysis of creep voids in high-temperature metallic structures A Zeb, M Tahkola, R Pohja, J Pakarinen FCAI AI Day 2021, 2021 | 1 | 2021 |
| Industrial IoT solutions for digital twins: An overview A Zeb, J Kortelainen VTT Technical Research Centre of Finland, 2021 | 1 | 2021 |
| Managing digital-twin lifecycle–recognition and handling of business risks T Rantala, M Saunila, J Ukko, A Mikkola, J Kortelainen, A Zeb Real-time Simulation for Sustainable Production, 213-223, 2021 | 1 | 2021 |
| Multivariate multistep forecasting surrogates for process control and optimisation using digital twins J Linnosmaa, A Zeb, M Seppi, N Verma FCAI AI Day + Nordic AI Meet 2024, 2024 | | 2024 |
| Semantic segmentation for the analysis of creep voids in metallic materials A Zeb, J Linnosmaa, R Pohja, J Pakarinen FCAI AI Day 2022, 2022 | | 2022 |
| Ontological modelling of creep void analysis data to automate machine learning training process A Zeb, T Mätäsniemi | | 2022 |
| Artificial intelligence for the support of regulator decision making J Kortelainen, A Zeb, H Ailisto VTT Technical Research Centre of Finland, 2020 | | 2020 |
| Semantic representation of engineering knowledge: pre-study A Zeb, J Kortelainen, M Ylikerälä VTT Technical Research Centre of Finland, 2020 | | 2020 |
| Concept for Predicting the Gearbox Efficiency: Experiments, Simulations, and Surrogate Modelling E Huttunen-Saarivirta, H Ronkainen, M Savolainen, J Virtanen, M Isakov, ... Simulations, and Surrogate Modelling, 0 | | |
Juha-Pekka SoininenVTT Technical Research Centre of FinlandVerified email at vtt.fi
