Data-analytiikalla uutta tietoa ja sujuvuutta arkeen sekä tuotantoon
Ryhmämme toimii Tampereen yliopiston Porin kampuksella, Porin yliopistokeskuksessa. Tavoitteenamme on edistää yritysten ja elinkeinoelämän valmiutta hyödyntää data-analytiikan ja koneoppimisen uusimpia ratkaisuja.
Tärkeimpiä tutkimusaiheitamme ovat:
- maatalouden data-analytiikka
- data-analytiikka hyvinvointipalveluissa
- generatiivisen tekoälyn sovellukset
- biosfäärin ja maastonkehityksen mallinnus data-analytiikalla.
Ajankohtaista
Käynnistyi SmartCare-hanke
DAO-ryhmä koordinoi elokuussa alkanutta Business Finlandin rahoittamaa SmartCare Environments -hanketta, jonka tavoitteena on kehittää älykäs ja asiakkaan tarpeisiin adaptoituva hoivaympäristö. Hankkeesta julkaistiin tiedote UCPorin sivuilla: https://ucpori.fi/fi-fi/article/uutiset/sensorit-ja-tekoaly-palveluasumisen-tueksi-uusi-tutkimus-etsii-ratkaisuja-kasvaviin-hoivahaasteisiin/4940/ . Hankkeesta voi lukea lisää Projektit-välilehdeltä
Ryhmän jäsenet
Käynnissä olevat projektit
Päättyneet projektit
2025
Halla, A, Pesonen, L, Pohjola, J, Linna, P & Lipping, T 2025, 'Model for planning site-specific nitrogen fertilization of barley in northern conditions', Smart Agricultural Technology, vol. 12, 101367. https://doi.org/10.1016/j.atech.2025.101367
Pussi, K., Linna, P., Suomi, P., Kaustell, K. & Pesonen, L. 2025, Reference framework for metadata description to commensurate data in grain production. In: Data in Brief. 60, Jun 2025, 111557, 10.1016/j.dib.2025.111557.
2024
- Leppäniemi, O, Lipping, T & Stenvall, J 2024, Data-Driven Participatory Decision-making in Municipalities: Case Finland. in Manchester: The International Society for Professional Innovation Management (ISPIM). <https://www.proquest.com/docview/3089910571/fulltext/10853438B93F40E2PQ/1?accountid=14242&sourcetype=Conference%20Papers%20&%20Proceedings>
T. Lipping and M. Beiramvand, "Assessment of Mental Workload in Real-Life Setup using EEG Synchronization Measures," 2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT), Firenze, Italy, 2024, pp. 412-416, doi: 10.1109/MetroInd4.0IoT61288.2024.10584156.
Far, S.M, Beiramvand, M, Shahbakhti, M & Augustyniak, P. 2024. Combination of Empirical Mode Decomposition and Hjorth Parameters for Prediction of Preterm Labor using Electrohysterogram Signals. 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024, pp. 1-4, doi: 10.1109/EMBC53108.2024.10781550.
Lipping, T 2024, Datan ja tutkimuksen merkitys alueellisen TKI-ekosysteemin kehittämisessä. in Korkeakoulukumppanuudet alueellisen TKI- toiminnan tukena: Satakunnan kestävän siirtymän menestystekijät . <https://urn.fi/URN:ISBN:978-951-29-9833-3 >
Beiram Vand, M, Shahbakhti, M & Lipping, T 2024, Evaluating Mental Workload Through Cross-Entropy Analysis of Two Prefrontal EEG Channels. in 9th European Medical and Biological Engineering Conference (EMBEC 2024). IFMBE proceedings, Springer, European Medical and Biological Engineering Conference, Portorož, Slovenia, 9/06/24. https://doi.org/10.1007/978-3-031-61628-0_5
P. Linna, A. Halla and J. Suomalainen, "Concept for Sharing Drone Data in Agricultural Data Ecosystem," 2024 47th MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia, 2024, pp. 1900-1904, doi: 10.1109/MIPRO60963.2024.10569579.
A. Halla, S. Jaakkola, R. Tupi and P. Linna, "Collaborative Data Collection in Agriculture – Case Sub-Irrigation On-Farm Experiment," 2024 47th MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia, 2024, pp. 1926-1930, doi: 10.1109/MIPRO60963.2024.10569347.
Lipping, T, Turunen, J & Pohjola, J 2024, Feasibility of Neural Network Surrogate Models for Sensitivity Analysis of Radionuclide Transport and Geochemical Processes. in Deliverable 4.7 Report describing numerical improvement and developments and their application to treat uncertainty when dealing with coupled processes. pp. 135-152. https://www.ejp-eurad.eu/publications/eurad-d47-report-describing-numerical-improvement-and-developments-and-their
Mashima, T, Kamata, K, Lipping, T, Sugino, S, Hagihira, S & Yamauchi, M 2024, 'Gamma oscillations of electroencephalogram after applications of electrical stimulation: a preliminary volunteer study', Euroanaesthesia 2024, 25/05/24 - 27/05/24. https://esaic.org/wp-content/uploads/2024/06/ESAIC2024_Abstracts.pdf
Beiramvand, M, Shahbakhti, M, Karttunen, N, Koivula, R, Turunen, J & Lipping, T 2024, 'Assessment of Mental Workload Using a Transformer Network and Two Prefrontal EEG Channels: An Unparameterized Approach', IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2024.3395312
Leppäniemi, O, Lipping, T & Stenvall, J 2024, 'Kunta.live - a tool for participatory decision-making in local governments', Electronic Government. https://doi.org/10.1504/EG.2024.10063344
Shahbakhti, M, Beiramvand, M, Hakimi, N, Rejer, I, Lipping, T, Broniec-Wojcik, A & Sole-Casals, J 2024, 'Fusing Fuzzy Entropy with Gaussian and Exponential Membership Functions Outperforms Traditional Entropy Metrics in Monitoring the Depth of Anesthesia using a Single Frontal EEG Channel', IEEE Sensors Letters, vol. 8, no. 3, 6002904. https://doi.org/10.1109/LSENS.2024.3369318
Shahbakhti, M, Krycinska, R, Beiramvand, M, Hakimi, N, Lipping, T, Chen, W, Broniec-Wojcik, A, Augustyniak, P, Tanaka, T, Sole-Casals, J, Wierzchon, M & Wordliczek, J 2024, 'Wearable EEG-Based Depth of Anesthesia Monitoring: A Non- Parametric Feature Set', IEEE Sensors Journal, pp. 1. https://doi.org/10.1109/JSEN.2024.3390604
Rahman, SMM, Shaikh, A, Mattila, H, Lipping, T, Sari, M, Raumonen, P & Virkki, J 2024, A Hat-Integrated HCI System for Serious Games–Proof-of-Concept Applications in Focus Detection and Game Controlling. in P Dondio, M Rocha, A Brennan, A Schönbohm, F de Rosa, A Koskinen & F Bellotti (eds), Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings. Lecture Notes in Computer Science, vol. 14475 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 373-382, https://doi.org/10.1007/978-3-031-49065-1_36
Narra Girish, N, Hietala, R & Lipping, T 2024, Analysing Data from Open Sources to Manage Risks in Food Production. in Digital Agriculture A Solution for Sustainable Food and Nutritional Security. https://doi.org/10.1007/978-3-031-43548-5_20
- Lipping, T, Linna, P & Narra Girish, N 2024, Datan avulla tehokkaampaa viljelyä. in ROBOAI TUTKIMUS- JA TUOTEKEHITYSKESKUS. https://urn.fi/URN:NBN:fi-fe202401193513
- Lipping, T & Ranta, P 2024, Digital Yield Predictions. in Digital Agriculture A Solution for Sustainable Food and Nutritional Security. https://doi.org/10.1007/978-3-031-43548-5_12
- Kuusisto, T, Linna, P & Haapakoski, M. 2024. Lannoittamisen vaihtoehtoiset keinot Satakunnassa. Tamperren yliopisto. https://urn.fi/URN:ISBN:978-952-03-3157-3
- Kuusisto, T, Haapakoski, M & Linna, P. 2024. Purkualan kiertotalouden kehittäminen. Tampereen yliopisto. https://urn.fi/URN:ISBN:978-952-03-3158-0
- Kuusisto, T, Pohjola, J, Linna, P & Haapakoski, M. 2024. Ojitettujen suomaiden sekä kosteikkojen vettäminen ja ennallistaminen uusin menetelmin. Tampereen yliopisto. https://urn.fi/URN:ISBN:978-952-03-3623-3
Shahbakhti, M, Beiramvand, M, Far, SM, Solé-Casals, J, Lipping, T & Augustyniak, P 2024, Utilizing Slope Entropy as an Effective Index for Wearable EEG-Based Depth of Anesthesia Monitoring. in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024. Orlando, Florida, United States, 15/07/24. https://doi.org/10.1109/EMBC53108.2024.10782706
Claret, F, Prasianakis, NI, Baksay, A, Lukin, D, Pepin, G, Ahusborde, E, Amaziane, B, Bátor, G, Becker, D, Bednár, A, Béreš, M, Bérešová, S, Böthi, Z, Brendler, V, Brenner, K, Březina, J, Chave, F, Churakov, SV, Hokr, M, Horák, D, Jacques, D, Jankovský, F, Kazymyrenko, C, Koudelka, T, Kovács, T, Krejčí, T, Kruis, J, Laloy, E, Landa, J, Ligurský, T, Lipping, T, López-Vázquez, C, Masson, R, Meeussen, JCL, Mollaali, M, Mon, A, Montenegro, L, Pisani, B, Poonoosamy, J, Pospiech, SI, Saâdi, Z, Samper, J, Samper-Pilar, AC, Scaringi, G, Sysala, S, Yoshioka, K, Yang, Y, Zuna, M & Kolditz, O 2024, 'EURAD state-of-the-art report: development and improvement of numerical methods and tools for modeling coupled processes in the field of nuclear waste disposal', Frontiers in Nuclear Engineering, vol. 3, 1437714. https://doi.org/10.3389/fnuen.2024.1437714
2023
- Turunen, J & Lipping, T 2023, 3D Data Economy Satakunta's Success Factor in Digital Green Growth: Pilotti 1: Datan hyödyntämisen konsepti teollisuus- ja automaatioympäristössä . Prizztech Oy. <https://www.prizz.fi/media/automaatio-ja-robotiikka/automaatio-ja-robotiikka-materiaalit/3d_dataeco_pilot1_loppuraportti_v1_25.8.2023.pdf>
- Beiram Vand, M, Shahbakhti, M & Lipping, T 2023, Cross-Entropy-Based Assessment of Mental Workloads Using Two Prefrontal EEG Channels. in 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology. IEEE, pp. 49-50, International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, St. Julians, Malta, 7/12/23. https://doi.org/10.1109/IEEECONF58974.2023.10404709
- Lipping, T & Turunen, J 2023, 'Data-analytiikkapilotit teollisuudessa: Mitä opimme?', Säikeitä, vol. 2023, pp. 10-11. <https://issuu.com/ucpori/docs/saikeita2023_web>
- Turunen, J & Lipping, T 2023, 'Feasibility of neural network metamodels for emulation and sensitivity analysis of radionuclide transport models', Scientific Reports, vol. 13, 6985, pp. 1-11. https://doi.org/10.1038/s41598-023-34089-9
- Merilampi, SL, Jyräkoski, T, Poberznik, A, Karttunen, N, Seessalo, T, Virkki, J & Lipping, T 2023, Gamified Wearable EEG Technology to Support Controlling of Cognitive Load After Brain Injury. in Games and Learning Alliance - 12th International Conference, GALA 2023, Proceedings. Lecture Notes in Computer Science, vol. 14475, Springer, pp. 390-395, International Conference on Games and Learning Alliance, Dublin, Ireland, 29/11/23. https://doi.org/10.1007/978-3-031-49065-1_38
- Beiramvand, M, Lipping, T, Karttunen, N & Koivula, R 2023, Mental Workload Assessment using Low-Channel Prefrontal EEG Signals. in 2023 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2023 - Conference Proceedings. IEEE, IEEE International Symposium on Medical Measurements and Applications, Jeju, Korea, Republic of, 14/06/23. https://doi.org/10.1109/memea57477.2023.10171942