PUBLIKĀCIJAS

Knowledge Base for Innovations in Higher Education Institutions (HEIs) Toward Smart and Sustainable Future: A Study on EUDRES

Livina, A., Gavinolla, M.R., Horsta, L. (2024). Knowledge Base for Innovations in Higher Education Institutions (HEIs) Toward Smart and Sustainable Future: A Study on EUDRES. In: Reis, J., et al.Driving Quality Management and Sustainability in VUCA Environments. ICQUIS 2023. Springer Proceedings in Business and Economics. https://doi.org/10.1007/978-3-031-52723-4_21

Conceptual Modelling of Digital Twin for Smart Agriculture

Majore, G., Majors, I., Zakis, K. (2024). Conceptual Modelling of Digital Twin for Smart Agriculture. Companion Proceedings of the 17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling Forum, M4S, FACETE, AEM, Tools and Demos co-located with PoEM 2024. Conceptual Modelling of Digital Twin for Smart Agriculture

Technological and Research Challenges in Data Engineering for Sustainable Agriculture

Bimonte, S., Bellocchi, G., Pinet, F., Charrier, G., Sacharidis, D., Sakr, M., Tournier, R., Jakllari, G., Gerard Chalhoub, G., Kechadi, T., Benatallah, B., Marinello, F., Oberti, R., Bindelle, J., Majore, G., Skrzypczyński, P. (2024). Technological and Research Challenges in Data Engineering for Sustainable Agriculture. Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE '24). Association for Computing Machinery, 1–6. https://doi.org/10.1145/3663741.3664786

Environmental Data and Digital Twins for Road Traffic Safety in Rural Areas

Volkovičs, R., Bambāns, V., & Majore, G. (2024). Environmental Data and Digital Twins for Road Traffic Safety in Rural Areas. ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference2, 317-323. https://doi.org/10.17770/etr2024vol2.8012

Time series forecasting of price of the agricultural products using data science

Kmytiuk, T., Majore, G., Bilyk, T. (2024). Time series forecasting of price of the agricultural products using data science. Agricultural and Resource Economics: International Scientific E-Journal10(3), 5–33. https://doi.org/10.51599/are.2024.10.03.01

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Vidzemes Augstskola, Cēsu iela 4, Tērbatas iela 10, Valmiera, LV-4201, Latvija

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