• About the essence of intelligence – will artificial intelligence (ever) cover human intelligence?Jaakkola, Hannu; Thalheim, Bernhard; Henno, JaakInformation Modelling and Knowledge Bases XXXIII2021 / p. 19-43 https://doi.org/10.3233/FAIA210475 https://www.scopus.com/sourceid/19500157321 https://www.scopus.com/record/display.uri?eid=2-s2.0-85123749181&origin=inward&txGid=6c24dea93fcc7fc25f46954cf0d1dd71
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  • Advances in Model and Data Engineering in the Digitalization Era : MEDI 2021 International Workshops : DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21–23, 2021 : proceedings2021 https://doi.org/10.1007/978-3-030-87657-9
  • The age of AI in healthcare research : An analysis of projects submitted between 2020 and 2024 to the Estonian Committee on Bioethics and Human ResearchPevkur, Aive; Lubi, KadiJournal of responsible technology2025 / art. 100113 https://doi.org/10.1016/j.jrt.2025.100113
  • AI applications for power quality issues in distribution systems : A systematic reviewNabian Dehaghani, Mitra; Korõtko, Tarmo; Rosin, ArgoIEEE Access2025 / p. 18346-183652025 https://doi.org/10.1109/ACCESS.2025.3533702
  • AI-based surrogate model for the prediction of ship fuel consumption reflecting hydrometeorological conditionsZhang, Mingyang; Tsoulakos, Nikolaos; Kujala, Pentti Jouko Sakari; Hirdaris, SpyrosProceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE 2024 ; vol. 92024 / OMAE2024-121992, V009T13A016 ; 11 pages https://doi.org/10.1115/OMAE2024-121992
  • Artificial intelligence and educationJaakkola, Hannu; Henno, Jaak; Lahti, J-P.; Järvinen, Raimo; Mäkelainen, Jukka2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings2020 / p. 548-555 https://doi.org/10.23919/MIPRO48935.2020.9245329
  • Artificial intelligence in monitoring and diagnostics of electrical energy conversion systemsVaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Pomarnacki, Raimondas; Belahcen, Anouar; Van Khang, Hyunh2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 20202020 / 4 p https://doi.org/10.1109/IWED48848.2020.9069566
  • Artificial Intelligence in the hierarchical control of ac, dc and hybrid ac/dc microgrids – A reviewGutiérrez-Escalona, J.; Roncero-Clemente, C.; Husev, Oleksandr; Matiushkin, Oleksandr; Blaabjerg, FredeIEEE Access2024 / 20 p https://doi.org/10.1109/ACCESS.2024.3486382
  • Artificial intelligence tools for university fundraising 5.0 : a comprehensive analysisCherniavska, Olena; Belov, Alexandr; Shmygol, Nadiia; Järvis, Marina; Cherniavska, Oleksandra; Tsalko, Tetiana2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES) : proceedings2023 / 6 p https://doi.org/10.1109/MEES61502.2023.10402529
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  • Autonomous driving validation and verification using digital twinsPikner, Heiko; Malayjerdi, Mohsen; Bellone, Mauro; Baykara, Baris Cem; Sell, RaivoProceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS ; Vol. 12024 / p. 204-211 https://doi.org/10.5220/0012546400003702
  • Autonomous mobile robots for production logistics: a process optimization model modificationRaamets, Tõnis; Majak, Jüri; Karjust, Kristo; Mahmood, Kashif; Hermaste, AigarProceedings of the Estonian Academy of Sciences2024 / p. 134-141 : ill https://doi.org/10.3176/proc.2024.2.06
  • Body Area Networks. Smart IoT and Big Data for Intelligent Health : 15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020 : proceedings2020 https://doi.org/10.1007/978-3-030-64991-3
  • A comprehensive survey on revolutionizing connectivity through artificial intelligence-enabled digital twin network in 6GSheraz, Muhammad; Chuah, Teong Chee; Lee, Ying Loong; Alam, Muhammad Mahtab; Al-Habashna, Ala'a; Han, ZhuIEEE Access2024 / p. 49184-49215 https://doi.org/10.1109/ACCESS.2024.3384272
  • Conceptual challenges of researching Artificial Intelligence in public administrationsNoordt, Colin Pascal van23rd Annual International Conference on Digital Government Research (DGO2022) : Intelligent Technologies, Governments and Citizens, June 15-17, 2022 : proceedings2022 / p. 183-190 https://doi.org/10.1145/3543434.3543441 https://www.scopus.com/sourceid/11600154611 https://www.scopus.com/record/display.uri?eid=2-s2.0-85139073979&origin=inward&txGid=4dc09d7185e74dfe84aafbcd1582a3a1
  • Contemporary innovation challenges – future of adoption artificial intelligence: case of EstoniaGavrilova, Valeria; Gurvitš-Suits, Natalie AleksandraEuropean integration studies2020 / p. 217−225 https://doi.org/10.5755/j01.eis.1.14.26143
  • Cross-medialità odeporica: Dai blogs all’intelligenza artificialeCalzati, StefanoRevista texto digital2019 / p. 95-111 https://doi.org/10.5007/1807-9288.2019v15n1p95
  • A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devicesAsad, Bilal; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangElectronics2023 / art. 1746 https://doi.org/10.3390/electronics12071746 https://www.scopus.com/sourceid/21100829272 https://www.scopus.com/record/display.uri?eid=2-s2.0-85152917029&origin=inward&txGid=5ab917f24786ab0f8c4172972c89df76 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ELECTRONICS-SWITZ&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000971825900001
  • Cyber security risk analysis for a virtual assistant G2C digital service using FAIR modelDreyling III, Richard Michael; Jackson, Eric Blake; Pappel, Ingrid2021 Eighth International Conference on eDemocracy & eGovernment (ICEDEG) : Quito, Ecuador, 28-30 July 20212021 / p. 33-40 https://doi.org/10.1109/ICEDEG52154.2021.9530938
  • Data protection chapterSalumaa-Lepik, Kärt vt. ka Salumaa, Kärt; Nisu, NeleDigital development of the European Union : an interdisciplinary perspective2023 / p. 145-168 https://doi.org/10.1007/978-3-031-27312-4_10 https://www.ester.ee/record=b5557935*est
  • Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 https://doi.org/10.1007/978-3-030-57672-1
  • Deep reinforcement learning for automated tuning of cavity filtersSekhri, Even; Tamre, Mart; Kapoor, RajivProceedings of ieeeforum International Conference2019 / p. 53 http://www.digitalxplore.org/up_proc/pdf/408-154943387153.pdf
  • Development and utilization of synthetic signals for fault diagnostics of electrical machinesRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsIEEE journal of emerging and selected topics in industrial electronics2024 / 9 p https://doi.org/10.1109/JESTIE.2024.3395650
  • Emerging technologies and spaceCarlo, Antonio; Roux, LucilleModelling and Simulation for Autonomous Systems : 8th International Conference, MESAS 2021, Virtual Event, October 13–14, 20212022 / p. 494-508 https://doi.org/10.1007/978-3-030-98260-7_32 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85128736985&origin=inward&txGid=e4246a78a3a0b9d9dd5176b044044663 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000787774900032
  • Energy-efficient autonomous systems - capacity building cross-border educational initiativeKunicina, Nadezda; Plonis, Darius; Bruzgiene, Rasa; Rassõlkin, Anton2025 IEEE 12th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)2025 / 5 p https://doi.org/10.1109/AIEEE66149.2025.11050877
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  • Evaluation of data quality in the Estonian National Health Information System for digital decision supportBertl, Markus; Kankainen, Kristian Juha Ismo; Piho, Gunnar; Draheim, Dirk; Ross, PeeterProceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023) : Leicester, United Kingdom, July 21, 2023. Vol. 34402023 / paper 1, 13 p. : ill https://ceur-ws.org/Vol-3440/paper1.pdf https://www.scopus.com/sourceid/21100218356 https://www.scopus.com/record/display.uri?eid=2-s2.0-85168140768&origin=inward&txGid=fe2f82375f5575f160ac1e7544b7c66f
  • Evaluation of deep learning-based depression detection using medical claims dataBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkArtificial intelligence in medicine2024 / art. 102745, 16 p. : ill https://doi.org/10.1016/j.artmed.2023.102745
  • Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987
  • Existence of the Yule-Simpson effect : an experiment with continuous dataSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Shahin, Mahtab; Vidyarthi, Ankit; Draheim, DirkProceedings of the Confluence 2022 : 12th International Conference on Cloud Computing, Data Science & Engineering, 27-28 January 2022 : Virtual2022 / p. 351-355 https://doi.org/10.1109/Confluence52989.2022.9734211
  • Exploratory visual analytics : technical report of the NATO IST-141 Research Task GroupVarga, Margaret; Arkin, Ethem; Bivall, Petter; Camossi, Elena; Kullman, Kaur; Krilavičius, Tomas; Mandravickaitė, Justina; Lavigne, Valerie; Jayaram, Shivas; Panga, Marius; Liggett, Kristen; Martsinkevičius, Virginijus; Ray, Cyril; Winkelholz, Carsten; Acharya, Nikhil2023 https://www.researchgate.net/publication/361220433_Exploratory_Visual_Analytics
  • An extended review on cyber vulnerabilities of AI technologies in space applications: Technological challenges and international governance of AIBreda, Paola; Markova, Rada; Abdin, Adam; Mantı, Nebile Pelin; Carlo, Antonio; Jha, DevanshuJournal of space safety engineering2023 / p. 447-458 : ill https://doi.org/10.1016/j.jsse.2023.08.003 https://www.scopus.com/sourceid/21100871641 https://www.scopus.com/record/display.uri?eid=2-s2.0-85168485820&origin=inward&txGid=06a8215718d747a62e82a586db69bb74 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=J%20SPACE%20SAF%20ENG&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001115868500001
  • Factors affecting the SMEs ability to enter the AI revolutionKoppel, Tarmo; Tšernikova, OlgaYou Have Been Replaced by AI : Abstracts of the 11th Annual Entrepreneurship and Innovation Conference (EUAS and Ülemiste City), Tallinn, October 5, 20232023 / p. 12 https://conference.euas.eu/2023/wp-content/uploads/2024/02/ConferenceProceedings2023.pdf
  • From sensors to Dempster-Shafer theory and back : the axiom of ambiguous sensor correctness and its applicationsDraheim, Dirk; Tammet, TanelDatabase and Expert Systems Applications : 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020 : Proceedings, Part I2020 / p. 3-19 https://doi.org/10.1007/978-3-030-59003-1_1 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85091514021&origin=inward&txGid=e15e0ec3b33ab243b46a649e346ade72 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000716713200001
  • Generating curricula: A human-centred perspective in the era of artificial intelligenceRüütmann, Tiia; Läänemets, UrveScience and Technology Education : Expectations and Experiences : Proceedings of the 6th International Baltic Symposium on Science and Technology Education (BalticSTE2025)2025 / p. 180-196 https://doi.org/10.33225/BalticSTE/2025.180
  • Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoptionKumar, Aman; Shankar, Amit; Hollebeek, Linda Desiree; Behl, Abhishek; Lim, Weng MarcJournal of Business Research2025 / art. 115160 https://doi.org/10.1016/j.jbusres.2024.115160
  • How domain engineering can help to raise adoption rates of artificial intelligence in healthcareBertl, Markus; Klementi, Toomas; Piho, Gunnar; Ross, Peeter; Draheim, DirkInformation Integration and Web Intelligence, 25th International Conference, iiWAS 2023, Denpasar, Bali, Indonesia, December 4–6, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-48316-5_1 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85178666935&origin=inward&txGid=c49fcc464c99e4c773aaee6a35f79f94
  • The importance of cybersecurity frameworks to regulate emergent AI technologies for space applicationsCarlo, Antonio; Manti, Nebile Pelin; Bintang, A. S. W. A. M.; Casamassima, Francesca; Boschetti, Nicolo; Breda, Paola; Rahloff, TobiasJournal of space safety engineering2023 / p. 474-482 : ill https://doi.org/10.1016/j.jsse.2023.08.002 https://www.scopus.com/sourceid/21100871641 https://www.scopus.com/record/display.uri?eid=2-s2.0-85169561634&origin=inward&txGid=d3135e1dcafc0e8a654c588e80fc749d https://jcr.clarivate.com/jcr-jp/journal-profile?journal=J%20SPACE%20SAF%20ENG&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001115892000001
  • Improved diagnostic approach for BRB detection and classification in inverter-driven induction motors employing sparse stacked autoencoder (SSAE) and lightGBMKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsElectronics (Switzerland)2024 / art. 1292 https://doi.org/10.3390/electronics13071292
  • Kolmogorov-Arnold networks for algorithm design in battery energy storage system applicationsGilbert Zequera, Rolando Antonio; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsEnergy Reports2025 / p. 2664-2677 https://doi.org/10.1016/j.egyr.2025.02.002
  • Legal dilemmas of Estonian artificial intelligence strategy : in between of e-society and global raceKerikmäe, Tanel; Pärn-Lee, EvelinAI & Society2020 / 12 p https://doi.org/10.1007/s00146-020-01009-8 https://www.scopus.com/sourceid/23616 https://www.scopus.com/record/display.uri?eid=2-s2.0-85087300805&origin=inward&txGid=8235a40653682ba73f00793baf392d99 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=AI%20SOC&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000545763700001
  • Machine learning meets communication networks : current trends and future challengesAhmad, Ijaz; Shahabuddin, Shariar; Malik, Hassan; Leppänen, Teemu; Loven, Lauri; Anttonen, Antti; Sodhro, Ali Hassan; Alam, Muhammad Mahtab; Juntti, Markku; Yla-Jääski, AnttiIEEE Access2020 / art. 9274307, p. 223418-223460 https://doi.org/10.1109/ACCESS.2020.3041765 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85097366961&origin=inward&txGid=9eb6a5e07ee92e8b84c5e33c702640b6 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000604019600001
  • Managing complexity: the EU’s contribution to artificial intelligence governanceAntonov, AlexanderRevista CIDOB d'Afers Internacionals2022 / p. 41-65 : ill https://doi.org/10.24241/rcai.2022.131.2.41/en https://www.scopus.com/sourceid/21100468970 https://www.scopus.com/record/display.uri?eid=2-s2.0-85140026985&origin=inward&txGid=fc1773d7fe3f361ebadadb1f66db3fcd https://jcr.clarivate.com/jcr-jp/journal-profile?journal=REV%20CIDOB%20AFERS%20INF&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000879157300003
  • Model-free deep reinforcement learning-based current control for the dual-purpose dc-dc/ac power converterGutierrez-Escalona, Javier; Roncero-Clemente, Carlos; Husev, Oleksandr; Matiushkin, Oleksandr; Barrero-Gonzalez, Fermin; Gonzalez-Romera, Eva2024 IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2024 / 6 p https://doi.org/10.1109/CPE-POWERENG60842.2024.10604305
  • MWFA model based synthetic data creation and utilization for the training of XGBoost based fault diagnostic algorithm of a squirrel cage induction motorAsad, Bilal; Khan, Muhammad Amir; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Naseer, Muhammad Usman2024 International Conference on Electrical Machines (ICEM)2024 / 7 p https://doi.org/10.1109/ICEM60801.2024.10700453
  • Neuro-fuzzy approach for fault prediction of mechanical bearing faults using vibration analysisShirokova, Veroonika; Kudelina, Karolina; Raja, Hadi Ashraf; Rjabtšikov, Viktor; Baraškova, Tatjana; Nutonen, KarleIECON Proceedings (Industrial Electronics Conference) IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society2024 / p. 1-6 https://doi.org/10.1109/IECON55916.2024.10905990
  • Neuro-fuzzy framework for fault prediction in electrical machines via vibration analysisKudelina, Karolina; Raja, Hadi AshrafEnergies2024 / art. 2818 https://doi.org/10.3390/en17122818
  • Polyverif : an open-source environment for autonomous vehicle validation and verification research accelerationRazdan, Rahul; Akbas, Mustafa Ilhan; Sell, Raivo; Bellone, Mauro; Menase, Mahesh; Malayjerdi, MohsenIEEE Access2023 / p. 28343-28354 https://doi.org/10.1109/ACCESS.2023.3258681 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85151508125&origin=inward&txGid=fd14e7daa42221d72dc0bc7d6e12d0f0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000966839500001
  • Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing dataBertl, Markus; Ross, Peeter; Draheim, DirkDatabase and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I2021 / p. 104-111 https://doi.org/10.1007/978-3-030-86472-9_9 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85115140877&origin=inward&txGid=cc5581aeed9ca607bd08224855394f9d https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000711959400009
  • PrefaceBellatreche, Ladjel; Chernishev, George; Corral, Antonio; Ouchani, Samir; Vain, JüriAdvances in Model and Data Engineering in the Digitalization Era : MEDI 2021 International Workshops : DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21–23, 2021 : proceedings2021 / p. v-vii https://link.springer.com/content/pdf/bfm:978-3-030-87657-9/1?pdf=chapter%20toc https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85117443149&origin=inward&txGid=b80cd4b99e9759e9dca9695df9d59373
  • Preliminary analysis of bearing current faults for predictive maintenanceKudelina, Karolina; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p. : ill https://doi.org/10.1109/IEMDC55163.2023.10238934
  • Product Assurance in the Age of Artificial Intelligence2025 https://doi.org/10.4271/EPR2025011 https://saemobilus.sae.org/reports/product-assurance-age-artificial-intelligence-epr2025011
  • Public procurement in age of AI: challenges and opportunitiesIders-Bankovs, M.; Politika, V.; Pundure, J.; Järvis, Marina; Ziemelis, M.Engineering for rural development2025 / p. 968-975 https://doi.org/10.22616/ERDev.2025.24.TF198 https://www.iitf.lbtu.lv/conference/index.php?topicID=8
  • Responsible AI for cities : a case study of GeoAI in African informal settlementsTonnarelli, Francesco; Mora, LucaJournal of urban technology2025 / 27 p https://doi.org/10.1080/10630732.2025.2450755
  • Rethinking computer-aided architectural design (CAAD) - from generative algorithms and architectural intelligence to environmental design and ambient intelligenceStojanovski, Todor; Zhang, Hui; Frid, Emma; Partanen, Jenni VilhelmiinaComputer-Aided Architectural Design. Design Imperatives: The Future is Now19th International Conference, CAAD Futures 2021, Los Angeles, CA, USA, July 16-18, 2021, Selected Papers2022 / p. 62-83 https://doi.org/10.1007/978-981-19-1280-1_5 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85127649084&origin=inward&txGid=87deca8733c93a2e7811c29c9984de23 https://www.webofscience.com/wos/woscc/full-record/WOS:000787752600005
  • Rise of the machines? Customer engagement in automated service interactionsHollebeek, Linda Desiree; Sprott, David E.; Brady, Michael K.Journal of Service Research2021 / p. 3−8 https://doi.org/10.1177/1094670520975110 https://www.scopus.com/sourceid/144974 https://www.scopus.com/record/display.uri?eid=2-s2.0-85099452699&origin=inward&txGid=2bfd47d36c8ff094285523edf744a072 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=J%20SERV%20RES-US&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000607389500001
  • The role of artificial intelligence in the development of entrepreneurial initiatives among displaced persons: management of innovative social work practicesBielialov, T.; Trebyk, L.; Zavrazhnyi, K.; Demydenko, T.; Järvis, Marina; Malovichko, O.Multidisciplinary science journal2024 / art. e2024ss0224 https://doi.org/10.31893/multiscience.2024ss0224
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  • Trustworthy AI as a future driver for competitiveness and social change in the EUAntonov, Alexander; Kerikmäe, TanelThe EU in the 21st century : challenges and opportunities for the European integration process2020 / p. 135-154 https://doi.org/10.1007/978-3-030-38399-2_9
  • Unsettled technology areas in autonomous vehicle test and validationRazdan, Rahul; Akbas, Mustafa Ilhan; Sargolzaei, Arman; Alanser, Ala Jamil2019 https://doi.org/10.4271/EPR2019001 https://rancs-lab.com/our-research-report-on-autonomous-vehicles-is-published-by-sae/
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  • Use of hydrogen and AI as an opportunities to increase energy autarky and create business more sustainableKrzos, G.; Piwoni-Krzeszowska, E.; Kowalski, J.; Prause, Gunnar KlausProcedia computer science2023 / p. 3276-3285 https://doi.org/10.1016/j.procs.2023.10.321 https://www.scopus.com/sourceid/19700182801 https://www.scopus.com/record/display.uri?eid=2-s2.0-85183564169&origin=inward&txGid=4bb6aa18c21a7a58dcb5ef169eb85481
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