• 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
• American sign language character recognition using convolutional neural networksAbdullah, Atesam; Ali, Nisar; Ali, Raja Hashim; Abideen, Zain Ul; Ijaz, Ali Zeeshan; Bais, Abdul2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) : Regina, SK, Canada, 24-27 September 20232023 / p. 165-169 https://doi.org/10.1109/CCECE58730.2023.10288799
• ANN-LSTM based tool for photovoltaic power forecastingZahraoui, Younes; Korõtko, Tarmo; Mekhilef, Saad; Rosin, Argo2024 4th International Conference on Smart Grid and Renewable Energy (SGRE) : proceedings2024 / 6 p. : ill https://doi.org/10.1109/SGRE59715.2024.10428969
• Artificial intelligence yesterday, today and tomorrowJaakkola, Hannu; Henno, Jaak; Mäkelä, Jukka; Thalheim, Bernhard2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) : May 20 – 24, 2019, Opatija, Croatia : proceedings2019 / p. 860 - 867 : ill https://doi.org/10.23919/MIPRO.2019.8756913
• Automated training set size reduction for detection of small and thin objectsPihlak, Rene; Riid, Andri12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System2023 / p. 423-433 https://doi.org/10.1007/978-3-031-25344-7_39 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/record/display.uri?eid=2-s2.0-85147999685&origin=inward&txGid=4728b693b10aca664e5fb9c6a01b9755
• Barotropic trends through the Barents Sea opening for the period 1975–2021Jahanmard, Vahidreza; Löptien, Ulrike; Sandø, Anne Britt; Gierisch, Andrea M. U.; Dietze, Heiner; Lien, Vidar; Delpeche-Ellmann, Nicole Camille; Hordoir, RobinsonJournal of Geophysical Research: Oceans2025 / art. e2024JC021663 https://doi.org/10.1029/2024JC021663
• Comparative analysis of machine learning techniques for non-intrusive load monitoringShabbir, Noman; Vassiljeva, Kristina; Hokmabad, Hossein Nourollahi; Husev, Oleksandr; Petlenkov, Eduard; Belikov, JuriElectronics2024 / art. 1420 https://doi.org/10.3390/electronics13081420
• A data-fusion technique for forecasting of absolute sea levels in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 / 1 p https://fsc-cloud46.segi.ulg.ac.be/PresentationManager/colloquium/2023/abstracts/2023-01-26_16:01:11_IP_193.40.244.205.pdf
• Deep CNN based classification of the Archimedes spiral drawing tests to support diagnostics of the Parkinson’s diseaseNõmm, Sven; Zarembo, Sergei; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2020 / p. 260-264 https://doi.org/10.1016/j.ifacol.2021.04.185 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85107834230&origin=inward&txGid=713f6a8792a6b3887c3efe139a0cf4f7 https://www.webofscience.com/wos/woscc/full-record/WOS:000656589700046
• Deep Learning methodology for charging management applications in battery cells based on Neural NetworksZequera, Rolando Antonio Gilbert; Rjabtšikov, Viktor; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsIEEE Transactions on Intelligent Vehicles2024 https://doi.org/10.1109/TIV.2024.3417216
• Deep learning-based detection of cyberattacks in software-defined networksMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Inbouli, WissemDigital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings2023 / p. 341-354 https://doi.org/10.1007/978-3-031-36574-4_20
• Deep-learning based blood cells classification and initial edge device implementationIslam, Md. Raisul; Le Moullec, Yannick; Afrin, Fariha; Ahmed, Faisal2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 p. : ill https://doi.org/10.1109/BEC56180.2022.9935610
• DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural ArchitectureLoni, Mohammad; Zoljodi, Ali; Maier, Daniel; Majd, Amin; Daneshtalab, Masoud; Sjödin, Mikael; Juurlink, Ben H.H.; Akbari, Reza2020 IEEE Congress on Evolutionary Computation (CEC) : conference proceedings2020 / 8 p https://doi.org/10.1109/CEC48606.2020.9185611
• Early detection of network attacks using deep learningAhmad, Tanwir; Truscan, Dragos; Vain, Jüri; Porres, Ivan2022 IEEE 15th International Conference on Software Testing, Verification andValidation Workshops : ICSTW 2022, 4–13 April 2022, Virtual Event : proceedings2022 / p. 30-39 https://doi.org/10.1109/ICSTW55395.2022.00020 https://arxiv.org/pdf/2201.11628.pdf
• An efficient FPGA-based architecture for contractive autoencodersKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, Thomas2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 3 – 6 May 2020, Fayetteville, Arkansas : proceedings2020 / p. 230−230 https://doi.org/10.1109/FCCM48280.2020.00062.
• Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery managementShabbir, Noman; Kütt, Lauri; Astapov, Victor; Daniel, Kamran; Jawad, Muhammad; Husev, Oleksandr; Rosin, Argo; Martins, JoaoApplied energy2024 / art. 123770 https://doi.org/10.1016/j.apenergy.2024.123770
• Ensemble of Tensor Train Decomposition and Quantization Methods for Deep Learning Model CompressionAdemola, Olutosin Ajibola; Petlenkov, Eduard; Leier, Mairo2022 International Joint Conference on Neural Networks (IJCNN)2022 https://doi.org/10.1109/IJCNN55064.2022.9892626 https://www.scopus.com/sourceid/96537 https://www.scopus.com/record/display.uri?eid=2-s2.0-85140779576&origin=inward&txGid=99358af0742f079c1a5fb42285c31068 https://www.webofscience.com/wos/woscc/full-record/WOS:000867070906010
• 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
• Evaluation of deep neural network compression methods for edge devices using weighted score-based ranking schemeAdemola, Olutosin Ajibola; Leier, Mairo; Petlenkov, EduardSensors2021 / art. 7529 https://doi.org/10.3390/s21227529 https://www.scopus.com/sourceid/130124 https://www.scopus.com/record/display.uri?eid=2-s2.0-85118875058&origin=inward&txGid=ed69db608154cb1f01bc4425568924a7 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SENSORS-BASEL&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000725934100001
• Explaining the decisions of deep learning models for load disaggregation (NILM) based on XAIMachlev, Ram; Malka, Asaf; Perl, Michael; Levron, Yoash; Belikov, Juri2022 IEEE Power & Energy Society General Meeting (PESGM)2022 / art. 183865 , p. 1-5 : ill https://doi.org/10.1109/PESGM48719.2022.9917049
• Exploring deep learning based object detection architecturSaddique, Muhammad Saddique; Raza, Ahsan; Abideen, Zain Ul; Khan, Shah Nawaz2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 20202020 / p. 255-259 https://doi.org/10.1109/IBCAST47879.2020.9044558
• Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuComputers & geosciences2023 / art. 105406, 16 p. : ill https://doi.org/10.1016/j.cageo.2023.105406 https://www.scopus.com/sourceid/110327 https://www.scopus.com/record/display.uri?eid=2-s2.0-85164237790&origin=inward&txGid=ab1587637a95cc34718ff33707b7fd85 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=COMPUT%20GEOSCI-UK&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001028982100001
• Generative adversarial networks as a data augmentation tool for CNN-based Parkinson's disease diagnosticsDzotsenidze, Erik; Valla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2022 / p. 108-113 : ill https://doi.org/10.1016/j.ifacol.2022.10.240 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144327403&origin=inward&txGid=85bf5598b60beed5cb9bc1aaf10bb22f https://www.webofscience.com/wos/woscc/full-record/WOS:000870306300019
• Hardware Trojans for confidence reduction and misclassifications on neural networksGrailoo, Mahdieh; Leier, Mairo; Pagliarini, Samuel NascimentoProceedings Of The Twenty Third International Symposium On Quality Electronic Design (ISQED 2022)2022 / art. 180541, p. 230-235 https://doi.org/10.1109/ISQED54688.2022.9806246
• Image-Based pavement type classification with convolutional neural networksRiid, Andri; Manna, Davide Liberato; Astapov, SergeiINES 2020 : IEEE 24th International Conference on Intelligent Engineering Systems, July 8-10, 2020, Reykjavik, Iceland : proceedings2020 / p. 55-60 : ill https://doi.org/10.1109/INES49302.2020.9147199
• 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
• Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networkingMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Vaarandi, Risto; Inoubli, WissemIEEE Access2023 / p. 140428 - 140442 https://doi.org/10.1109/ACCESS.2023.3341755 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85179784530&origin=resultslist&sort=plf-f&src=s&sid=b809bd4cf0195b89d03fdce880010424&sot=b&sdt=b&s=TITLE%28%22Learning+From+Few+Cyber-Attacks%3A+Addressing+the+Class+Imbalance+Problem+in+Machine+Learning-Based+Intrusion+Detection+in+Software-Defined+Networking%22%29&sl=111&sessionSearchId=b809bd4cf0195b89d03fdce880010424&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001126163700001
• A light-weight CNN model for efficient Parkinsons disease diagnosticsWang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Medijainen, Kadri; Taba, Pille; Toomela, Aaro; Nõmm, Sven; Ruzhansky, Michael36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 20232023 / p. 616-621 https://doi.org/10.1109/CBMS58004.2023.00289 https://www.scopus.com/sourceid/23681 https://www.scopus.com/record/display.uri?eid=2-s2.0-85166485992&origin=inward&txGid=83540260ed20ef2651c40660d4ac6379 https://www.webofscience.com/wos/woscc/full-record/WOS:001037777900108
• Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741
• Measuring explainability and trustworthiness of power quality disturbances classifiers using XAI - explainable artificial intelligenceMachlev, Ram; Perl, Michael; Belikov, Juri; Levy, Kfir; Levron, YoashIEEE transactions on industrial informatics2022 / p. 5127−5137 https://doi.org/10.1109/TII.2021.3126111 https://www.scopus.com/sourceid/144912 https://www.scopus.com/record/display.uri?eid=2-s2.0-85131174076&origin=inward&txGid=503ddfa05b3d9f33dbd130a0a11e0143 https://www.webofscience.com/wos/woscc/full-record/WOS:000793847600014 https://www.webofscience.com/wos/woscc/full-record/WOS:000793847600014
• Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research noteYao, Chaowen; Fabritius, Eeva Henna Helena; Fricker, Pia; Dembski, FabianLandscape and urban planning2025 / art. 105226 https://doi.org/10.1016/j.landurbplan.2024.105226
• Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 https://www.scopus.com/sourceid/16044 https://www.scopus.com/record/display.uri?eid=2-s2.0-85127078447&origin=inward&txGid=fb09f25ae1447261bfdc155d1426530f https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ELECTR%20POW%20SYST%20RES&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000793829600003
• Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiersWang, Qianchao; Kapuza, Itamar; Baimel, Dmitry; Belikov, Juri; Levron, Yoash; Machlev, RamElectric Power Systems Research2023 / art. 109574 https://doi.org/10.1016/j.epsr.2023.109574 https://www.scopus.com/sourceid/16044 https://www.scopus.com/record/display.uri?eid=2-s2.0-85163818885&origin=resultslist&sort=plf-f&src=s&sid=9d6331182095b815f95f73c05de1b326&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Neural+Architecture+Search+%28NAS%29+for+designing+optimal+power+quality+disturbance+classifiers%22%29&sl=109&sessionSearchId=9d6331182095b815f95f73c05de1b326&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ELECTR%20POW%20SYST%20RES&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001029298100001
• Non-determinism in nowadays computing and ITHenno, Jaak; Jaakkola, Hannu; Mäkelä, Jukka2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings2020 / p. 794-801 https://doi.org/10.23919/MIPRO48935.2020.9245377
• Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdeleKerner, Madis2024 https://www.ester.ee/record=b5675484*est https://digikogu.taltech.ee/et/Item/3568fe35-19c3-43e6-9525-73c79371ab13 https://doi.org/10.23658/taltech.16/2024
• Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehiclesPolukhin, Andrii; Gordienko, Yuri; Jervan, Gert; Stirenko, SergiiPattern Recognition and Image Analysis : 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27–30, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-36616-1_39 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85164920701&origin=inward&txGid=dea8fe2389e5b48c9919d3ca0c43bc56
• Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networksLõuk, Roland; Riid, Andri; Pihlak, Rene; Tepljakov, AlekseiAlgorithms2020 / art. 198, 27 p. : ill https://doi.org/10.3390/a13080198 https://www.scopus.com/sourceid/21100199795 https://www.scopus.com/record/display.uri?eid=2-s2.0-85090390206&origin=inward&txGid=26edbca5668d23b701c1f11234fbac1d https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ALGORITHMS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000567145900001
• PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated LearningMoustafa, Ahmed; Asad, Muhammad; Shaukat, Saima; Norta, AlexanderAdvanced Information Networking and Applications : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 22021 / p. 345–357 https://doi.org/10.1007/978-3-030-75075-6_28 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/record/display.uri?eid=2-s2.0-85105936632&origin=inward&txGid=9cb88c2bf83e8bb7bff601c25520a7ca
• Quantification of hydrodynamic model sea level bias utilizing deep learning and synergistic integration of data sourcesJahanmard, Vahidreza; Hordoir, Robinson; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuOcean modelling2023 / art. 102286 : ill., map https://doi.org/10.1016/j.ocemod.2023.102286 https://www.scopus.com/sourceid/28352 https://www.scopus.com/record/display.uri?eid=2-s2.0-85177483669&origin=inward&txGid=3a64aef42b149cf6dbab6aa03afebadd https://jcr.clarivate.com/jcr-jp/journal-profile?journal=OCEAN%20MODEL&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001119092700001
• Real-time crack detection on concrete using non-destructive approaches based on Yolo series : ReviewBassir, David; Chang, Haochen; Majak, JüriAdvances in Machinery, Materials Science and Engineering Application X : Proceedings of the 10th International Conference (MMSE 2024), Paris, France, 27–28 July 20242024 / p. 820-826 https://doi.org/10.3233/ATDE240712
• Real-time gait anomaly detection using 1D-CNN and LSTMRostovski, Jakob; Ahmadilivani, Mohammad Hasan; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad MahtabDigital Health and Wireless Solutions : First Nordic Conference​, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II2024 / p. 260-278 https://doi.org/10.1007/978-3-031-59091-7_17 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85193513969&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=ALL%28%22Real-Time+Gait+Anomaly+Detection+Using+1D-CNN+and+LSTM%22%29&sessionSearchId=a1950993a8713b95c4defac4e2fbf8c1&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001265181000017
• Reanalysis of ocean model-based dynamic topography utilizing deep neural network and geoid-referenced observationsJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 / 1 p https://fsc-cloud46.segi.ulg.ac.be/PresentationManager/colloquium/2023/abstracts/2023-01-25_21:01:49_IP_217.136.175.23.pdf
• Residential DC load forecasting using long short-term memory network (LSTM)Shabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr; Jalakas, Tanel; Martins, Joao2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)2023 / p. 131-136 https://doi.org/10.1109/SEGE59172.2023.10274596
• Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
• Review of state-of-the-art microwave filter tuning techniques and Iiplementation of a novel tuning algorithm using expert-based hybrid learningSekhri, Even; Kapoor, Rajiv; Tamre, MartWireless personal communications2024 / p. 625–681 https://doi.org/10.1007/s11277-024-10894-x
• A robust pathological voices recognition system based on DCNN and scattering transformSouli, Sameh; Amam, Rimah; Ben Yahia, SadokApplied acoustics2021 / art. 107854 : ill https://doi.org/10.1016/j.apacoust.2020.107854 https://www.scopus.com/sourceid/12946 https://www.scopus.com/record/display.uri?eid=2-s2.0-85101874448&origin=inward&txGid=740e188454d01da9d59ec3dd25fecc2e https://jcr.clarivate.com/jcr-jp/journal-profile?journal=APPL%20ACOUST&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000631292100003
• RoCo-NAS : robust and compact neural architecture searchGeraeinejad, Vahid; Sinaei, Sima; Modarressi, Mehdi; Daneshtalab, Masoud2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 8 l https://doi.org/10.1109/IJCNN52387.2021.9534460 https://www.scopus.com/sourceid/96537 https://www.scopus.com/record/display.uri?eid=2-s2.0-85116466137&origin=inward&txGid=06cece687b3f28db1a4a5c7b57009c76 https://www.webofscience.com/wos/woscc/full-record/WOS:000722581709029
• Scene parsing using Fully Convolutional Network for Semantic SegmentationAli, Nisar; Ijaz, Ali Zeeshan; Ali, Raja Hashim; Abideen, Zain Ul; Bais, Abdul2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, SK, Canada, 20232023 / p. 180-185 https://doi.org/10.1109/CCECE58730.2023.10288934
• Sea level forecasting using deep recurrent neural networks with high-resolution hydrodynamic modelRajabi-Kiasari, Saeed; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleApplied ocean research2025 / art. 104496 https://doi.org/10.1016/j.apor.2025.104496
• Sensor-location-specific joint acquisition of peripheral artery bioimpedance and photoplethysmogram for wearable applicationsMetshein, Margus; Abdullayev, Anar; Gautier, Antoine; Larras, Benoit; Frappe, Antoine; Cardiff, Barry; Annus, Paul; Land, Raul; Märtens, OlevSensors2023 / art. 7111 https://doi.org/10.3390/s23167111 https://www.scopus.com/sourceid/130124 https://www.scopus.com/record/display.uri?eid=2-s2.0-85168780687&origin=inward&txGid=e69925c0d6614c049a41fdb8e58da0e7 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SENSORS-BASEL&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001056686600001
• Short-term PV energy generation forecasting using deep learningShabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Astapov, Victor; Kilter, JakoTelematique2022 https://www.provinciajournal.com/index.php/telematique/article/view/813
• Smart healthcare : disease prediction using the cuckoo-enabled deep classifier in IoT frameworkKumar, Ashwani; Reddy, S. Sai Satyanarayana; Mahommad, Gouse Baig; Khan, Baseem; Sharma, RahulScientific Programming2022 https://doi.org/10.1155/2022/2090681 https://www.scopus.com/sourceid/19926 https://www.scopus.com/record/display.uri?eid=2-s2.0-85130603165&origin=inward&txGid=9e83b1be67a76c701dbd657b5008a860 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SCI%20PROGRAMMING-NETH&year=2021 https://www.webofscience.com/wos/woscc/full-record/WOS:000797438400005
• Stacking deep-learning model, stories and drawing properties for automatic scene generationElloumi, Samir; Bignoumba, NzambaInternational journal of advanced computer science and applications2023 / p. 894-911 https://doi.org/10.14569/IJACSA.2023.0140197 https://www.scopus.com/sourceid/21100867241 https://www.scopus.com/record/display.uri?eid=2-s2.0-85147729783&origin=inward&txGid=90c1b6b502a881f73013dad7d8bea3f5 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20ADV%20COMPUT%20SC&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000932471900001
• A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemicRasheed, Jawad; Jamil, Akhtar; Draheim, DirkChaos, solitons & fractals2020 / art. 110337, 17 p https://doi.org/10.1016/j.chaos.2020.110337 https://www.scopus.com/sourceid/25347 https://www.scopus.com/record/display.uri?eid=2-s2.0-85092745345&origin=inward&txGid=b4978c110da8f505470b2b88e83d0e71 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=CHAOS%20SOLITON%20FRACT&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000597223300008
• Toward automated utility pole condition monitoring : a deep learning approachRamlal, Craig J.; Singh, Arvind; Rocke, Sean; Manninen, Henri; Kilter, Jako; Landsberg, MartProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 255–259 https://doi.org/10.1109/ISGT-Europe47291.2020.9248797
• Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniquesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Rocke, Sean; Kilter, Jako; Landsberg, MartInternational journal of electrical power & energy systems2021 / art. 106726 https://doi.org/10.1016/j.ijepes.2020.106726 https://www.scopus.com/sourceid/17985 https://www.scopus.com/record/display.uri?eid=2-s2.0-85099887580&origin=inward&txGid=7578c0676e7deab55c1697c03c699056 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20ELEC%20POWER&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000623716900004
• Triple fixed-point MAC unit for deep learningKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, ThomasProceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference2021 / p. 1404-1407 https://doi.org/10.23919/DATE51398.2021.9474020
• Universal XR framework architecture based on open-source XR toolsBondarenko, Yevhen; Kuts, Vladimir; Pizzagalli, Simone Luca; Nutonen, Karle; Murray, Niall; O’Connell, EoinXR and metaverse : proceedings of the 8th international XR-metaverse conference 2023, Las Vegas, USA2024 / p. 87-98 https://doi.org/10.1007/978-3-031-50559-1_7