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Application of artificial intelligence and machine learning for BIM : reviewBassir, David; Lodge, Hugo; Chang, Haochen; Majak, Jüri; Chen, GonfaInternational journal for simulation and multidisciplinary design optimization2023 / art. 5 https://doi.org/10.1051/smdo/2023005

Application of machine learning for assessment of HS code correctnessSpitšakova, Margarita; Haav, Hele-MaiBaltic journal of modern computing2020 / p. 698-718 https://doi.org/10.22364/bjmc.2020.8.4.13 Journal Metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Applying machine learning with satellite altimetry data for prediction of absolute dynamic topography for the Baltic SeaMostafavi, Majid; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 26 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

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

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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 within the military domain and cyber warfareHallaq, Bil; Sõmer, Tiia; Osula, Anna-Maria; Ngo, Kim; Mitchener-Nissen, TimothyProceedings of the 16th European Conference on Cyber Warfare and Security, ECCWS 2017 : hosted by University College Dublin, Ireland, 29-30 June 20172017 / p. 153-156 https://www.scopus.com/record/display.uri?eid=2-s2.0-85028013021&origin=resultslist&zone=contextBox

Artificial lateral line for aquatic habitat modelling: An example for Lefua echigoniaGarcia-Vega, Ana; Fuentes-Perez, Juan Francisco; Fukuda, Shinji; Kruusmaa, Maarja; Sanz-Ronda, Francisco Javier; Tuhtan, Jeffrey AndrewEcological Informatics2021 / art. 101388 https://doi.org/10.1016/j.ecoinf.2021.101388 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Behavioural compass : animal behaviour recognition using magnetometersChakravarty, Pritish; Maalberg, Maiki; Cozzi, Gabriele; Ozgul, Arpat; Aminian, KamiarMovement Ecology2019 / Art. nr. 28 https://doi.org/10.1186/s40462-019-0172-6 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

CapsNet on embedded devices in a data scarce scenarioEzechukwu, Dismas Ndubuis; Le Moullec, Yannick2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 l. https://doi.org/10.1109/BEC56180.2022.9935600

Comparison of machine learning based methods for residential load forecastingShabbir, Noman; Ahmadiahangar, Roya; Kütt, Lauri; Rosin, Argo2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings2019 / 4 p. : ill https://doi.org/10.1109/PQ.2019.8818267

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Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteriaGilbert Zequera, Rolando Antonio; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants2023 International Conference on Electrical Drives and Power Electronics (EDPE)2023 / 6 p https://doi.org/10.1109/EDPE58625.2023.10274007

Detailed analysis of the Luria's alternating series tests for Parkinson's disease diagnosticsNõmm, Sven; Bardõš, Konstantin; Toomela, Aaro; Medijainen, Kadri; Taba, Pille17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings2018 / p. 1347–1352 https://doi.org/10.1109/ICMLA.2018.00219

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Detection and evaluation of driver distraction using machine learning and fuzzy logicAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinIEEE Transactions on Intelligent Transportation Systems2019 / p. 2048 - 2059 https://doi.org/10.1109/TITS.2018.2857222 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Detection of bulbar involvement in patients with amyotrophic lateral sclerosis by machine learning voice analysis : diagnostic decision support development studyTena, Alberto; Claria, Francec; Solsona, Francesc; Meister, Einar; Povedano, MonicaJMIR Medical Informatics2021 / e21331, 18 p. : ill https://doi.org/10.2196/21331 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Differences in Android behavior between real device and emulator : a malware detection perspectiveGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, Sven6th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, October 22-25, 20192019 / art. 8939268, p. 399-404 https://doi.org/10.1109/IOTSMS48152.2019.8939268

Dimensionality reduction for machine learning based IoT botnet detectionBahsi, Hayretdin; Nõmm, Sven15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 20182018 / p. 1857-1862 : ill https://doi.org/10.1109/ICARCV.2018.8581205

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Driver distraction detection and evaluation with artificial neural network and fuzzy logic : In-vehicle information system as a driver's secondary activity: case studyAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard15th International Workshop on Advanced Motion Control : (AMC 2018), Tokyo, Japan2018 / p. 523–528 : ill https://www.researchgate.net/publication/323747995_Driver_Distraction_Detection_and_Evaluation_with_Artificial_Neural_Network_and_Fuzzy_Logic_In-vehicle_information_system_as_a_driver%27s_secondary_activity_Case_study

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Ensemble approach for detection of depression using EEG featuresAvots, Egils; Jermakovs, Klavs; Bachmann, Maie; Päeske, Laura; Ozcinar, Cagri; Anbarjafari, GholamrezaEntropy2022 / art. 211 https://doi.org/10.3390/e24020211 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Estimating UWB positioning integrity based on ranging residualsTommingas, Mihkel; Ulp, Sander; Alam, Muhammad Mahtab; Müürsepp, Ivo; Laadung, Taavi2023 24th International Conference on Applied Electromagnetics and Communications (ICECOM)2023 / 5 p https://doi.org/10.1109/ICECOM58258.2023.10367954

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Forecasting of energy consumption and production using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Iqbal, Muhammad Naveed; Ghahfarokhi, Payam ShamsAdvances in electrical and electronic engineering2020 / p. 190−197 https://doi.org/10.15598/aeee.v18i3.3597 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Forecasting short term wind energy generation using machine learningShabbir, Noman; Ahmadiahangar, Roya; Kütt, Lauri; Iqbal, Muhammad Naveed; Rosin, Argo2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 7-9 October 2019 : conference proceedings2019 / 4 p https://doi.org/10.1109/RTUCON48111.2019.8982365

Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSMZahraoui, Younes; Zaihidee, Fardila M.; Kermadi, Mostefa; Mekhilef, Saad; Mubin, Marizan; Tang, Jing Rui; Zaihidee, Ezrinda M.Mathematics2023 / art. 1457 https://doi.org/10.3390/math11061457

Generation of unmeasured loading levels data for condition monitoring of induction machine using machine learningBillah, Md Masum; Saberi, Alireza Nemat; Hemeida, Ahmed; Martin, Floran; Kudelina, Karolina; Asad, Bilal; Naseer, Muhammad Usman; Mukherjee, Victor; Belahcen, AnouarIEEE transactions on magnetics2023 https://doi.org/10.1109/TMAG.2023.3312267

Hybrid feature selection models for machine learning based botnet detection in IoT networksGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, Sven2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings2019 / p. 324-327 : ill https://doi.org/10.1109/CW.2019.00059

The impact of load on global parameters of electrical machines in case of healthy and broken rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Shabbir, Noman2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 5 l. https://doi.org/10.1109/BEC56180.2022.9935614

Impact-driven discretization of numerical factors : case of two- and three-partitioningKaushik, Minakshi; Sharma, Rahul; Arakkal Peious, Sijo; Draheim, DirkBig Data Analytics. BDA 2021 : 9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021 : proceedings2021 / p. 244–260 https://doi.org/10.1007/978-3-030-93620-4_18 Conference Proceedings at Scopus Article at Scopus

Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithmsKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangMachines2023 / art. 963 https://doi.org/10.3390/machines11100963

Improving response time of task and Adaboost classifiers in mobile fog computingDarbanian, Elham; Rahbari, Dadmehr; Ghanizadeh, Roghayeh; Nickray, MohsenJordanian journal of computers and information technology2020 / p. 345−360 https://www.ejmanager.com/mnstemps/71/71-1590557276.pdf?t=1608030630

In silico machine learning methods in drug developmentDobchev, Dimitar Atanasov; Pillai, Girinath Gopinathan; Karelson, MatiCurrent topics in medicinal chemistry2014 / p. 1913-1922

In-depth feature selection and ranking for automated detection of mobile malwareGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, HayretdinProceedings of the 5th International Conference on Information Systems Security and Privacy : ICISSP 2019 : February 23-25, 2019, Prague, Czech Republic. Vol. 12019 / p. 274-283 : ill https://doi.org/10.5220/0007349602740283

In-depth feature selection for the statistical machine learning-based botnet detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinIEEE Access2022 / p. 94518-94535 https://doi.org/10.1109/ACCESS.2022.3204001 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Industrial robot training in the simulation using the machine learning agentNutonen, Karle; Kuts, Vladimir; Otto, TaunoProcedia computer science2023 / p. 446-455 https://doi.org/10.1016/j.procs.2022.12.240 Conference Proceedings at Scopus Article at Scopus

Knowledge based decision making in mechanical workshopsKruuser, Kaarel; Riives, Jüri; Kiolein, IndrekProceedings of the 32nd International DAAAM Virtual Symposium "Intelligent Manufacturing & Automation"2021 / p. 0514-0521 https://doi.org/10.2507/32nd.daaam.proceedings.074

Latest research trends in gait analysis using wearable sensors and machine learning: A systematic reviewSaboor, Abdul; Kask, Triin; Kuusik, Alar; Alam, Muhammad Mahtab; Le Moullec, YannickIEEE Access2020 / art. 3022818, p. 167830−167864 https://doi.org/10.1109/ACCESS.2020.3022818 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Learning timed automata from interaction tracesVain, Jüri; Kanter, Gert; Anier, AivoIFAC-PapersOnLine2019 / p. 205-210 https://doi.org/10.1016/j.ifacol.2019.12.097 Conference proceedings at Scopus Article at Scopus Article at WOS

Legal engineering of the anti-abuse rule in ATAD : architecture of the regression tree modelKünnapas, KaidoTalTech journal of European studies2021 / p. 65-82 : ill https://www.ester.ee/record=b5290032*est

Leveraging the first line of defense : a study on the evolution and usage of android security permissions for enhanced android malware detectionGuerra Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinJournal of Computer Virology and Hacking Techniques2022 / 32 p. : ill https://doi.org/10.1007/s11416-022-00432-3

LightGBM-based fault diagnosis of rotating machinery under changing working conditions using modified recursive feature eliminationSaberi, Alireza Nemat; Belahcen, Anouar; Sobra, Jan; Vaimann, ToomasIEEE Access2022 / p. 81910-81925 https://doi.org/10.1109/ACCESS.2022.3195939 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Lowering uncertainty of cancer classificationOkun, O.; Priisalu, HelenProceedings of IPMU'082008 / p. 543-550 : ill

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

A machine learning approach to achieving energy efficiency in relay-assisted LTE-a downlink systemHassan, Hammad; Ahmed, Ifran; Ahmad, Rizwan; Khammari, Hedi; Bhatti, Ghulam; Ahmed, Waqas; Alam, Muhammad MahtabSensors2019 / art. 3461, 25 p. : ill https://doi.org/10.3390/s19163461 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Machine learning based analysis of the upper limb freezing during handwriting in Parkinson's disease patientsGorbatšov, Vassili; Valla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-PapersOnLine2022 / p. 91-95 https://doi.org/10.1016/j.ifacol.2022.10.237 Conference Proceeding metrics at Scopus Article at Scopus Article at WOS

Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g eraJameel, Furqan; Sharma, Navuday; Khan, Muhammad Awais; Khan, Imran; Alam, Muhammad Mahtab; Alam, Muhammad Mahtab; Mavromoustakis, Constandinos X.Internet of Things / 2020 https://doi.org/10.1007/978-3-030-44907-0_8 Article collection metrics at Scopus Article at Scopus

Machine learning to tackle the challenges of transient and soft errors in complex circuitsLange, Thomas; Balakrishnan, Aneesh; Glorieux, Maximilien; Alexandrescu, Dan; Sterpone, Luca2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS), 1-3 July 2019, Greece2019 / p. 7-14 : ill https://doi.org/10.1109/IOLTS.2019.8854423

Machine learning-based prediction of specific energy consumption for cut-off grindingAwan, Muhammad Rizwan; Rojas, Hernan A. Gonzalez; Hameed, Saqib; Riaz, Fahid; Hamid, Shahzaib; Hussain, AbrarSensors2022 / art. 7152 https://doi.org/10.3390/s22197152 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Malicious accounts detection from online social networks : a systematic review of literatureBen Sassi, Imen; Ben Yahia, SadokInternational Journal of General Systems2021 / p. 741−814 https://doi.org/10.1080/03081079.2021.1976773 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Methods of condition monitoring and fault detection for electrical machinesKudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Khang, Huynh VanEnergies2021 / art. 7459, 20 p. : ill https://doi.org/10.3390/en14227459 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Microgrid oriented modeling of space heating system based on neural networksHäring, Tobias; Kull, Tuule Mall; Ahmadiahangar, Roya; Rosin, Argo; Thalfeldt, Martin; Biechl, HelmuthJournal of building engineering2021 / art. 103150, 12 p. : ill https://doi.org/10.1016/j.jobe.2021.103150 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

New solution for extracting inductive learning rules and their post-analysisKuusik, Rein, inform.; Lind, GreteIMMM 2011 : The First International Conference on Advances in Information Mining and Management : Barcelona, Spain, October 23-28, 20112011 / p. 121-126 http://personales.upv.es/thinkmind/dl/conferences/immm/immm_2011/immm_2011_6_30_20160.pdf

A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecastingJaved, Umar; Ijaz, Khalid; Jawad, Muhammad; Khosa, Ikramullah; Ansari, Ejaz Ahmad; Zaidi, Khurram Shabih; Rafiq, Muhammad Nadeem; Shabbir, NomanExpert systems with applications2022 / art. 117689 https://doi.org/10.1016/j.eswa.2022.117689 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

An analysis of human perception of partitions of numerical factor domainsKaushik, Minakshi; Sharma, Rahul; Shahin, Mahtab; Peious, Sijo Arakkal; Draheim, DirkLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Vol. 13635 LNCS2022 / p. 137-144 https://doi.org/10.1007/978-3-031-21047-1_13 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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On statistical paradoxes and overcoming the impact of bias in expert systems : towards fair and trustworthy decision makingSharma, RahulSSRN2023 / 37 p. : ill https://doi.org//10.2139/ssrn.4506432

On the application of active learning for efficient and effective Iot botnet detectionGuerra Manzanares, Alejandro; Bahsi, HayretdinFuture Generation Computer Systems2023 / p. 40-53 : ill https://doi.org/10.1016/j.future.2022.10.024

On the estimation of complex circuits functional failure rate by machine learning techniquesLange, Thomas; Balakrishnan, Aneesh; Glorieux, Maximilien; Alexandrescu, Dan; Sterpone, Luca49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - DSN 2019 : Supplemental Volume : proceedings2019 / p. 35-41 : ill https://doi.org/10.1109/DSN-S.2019.00021

On the relativity of time : implications and challenges of data drift on long-term effective android malware detectionGuerra Manzanares, Alejandro; Bahsi, HayretdinComputers & Security2022 / art. 102835, 15 p. : ill https://doi.org/10.1016/j.cose.2022.102835 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Optimization of physical activity recognition for real-time wearable systems : effect of window length, sampling frequency and number of featuresAllik, Ardo; Pilt, Kristjan; Karai, Deniss; Fridolin, Ivo; Leier, Mairo; Jervan, GertApplied sciences2019 / art. 4833, 14 p. : ill https://doi.org/10.3390/app9224833 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

An optimized metamodel for predicting damage and oil outflow in tanker collision accidentsDas, Tanmoy; Goerlandt, Floris; Tabri, KristjanProceedings of the institution of mechanical engineers, part M: journal of engineering for the maritime environment2022 / 14 p. : ill https://doi.org/10.1177/14750902211039659 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Pattern based software architecture for predictive maintenanceTorim, Ants; Liiv, Innar; Ounoughi, Chahinez; Ben Yahia, SadokNordic Artificial Intelligence Research and Development : 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31 - June 1, 2022 : revised selected papers2022 / p. 26-38 https://doi.org/10.1007/978-3-031-17030-0_3 Conference proceedings at Scopus Article at Scopus

Predicting first-year computer science students drop-out with machine learning methods: A case studyMaksimova, Natalja; Pentel, Avar; Dunajeva, OlgaEducating Engineers for Future Industrial Revolutions : Proceedings of the 23rd International Conference on Interactive Collaborative Learning (ICL2020). Volume 22021 / p. 719-726 https://doi.org/10.1007/978-3-030-68201-9_70 Conference proceedings at Scopus Article at Scopus Article at WOS

Predicting students final test results based on previous grades and demographicsPentel, Avar; Kaiva, Lisanne-LiisThe 11th International Conference on Information, Intelligence, Systems and Applications : IISA 2020, 15-17 July 2020, University of Piraeus, Greece2020 / p. 377-382 https://doi.org/10.1109/IISA50023.2020.9284401

Predictive analytics beyond time series : predicting series of events extracted from time series dataMishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; Purkayastha, AdriWind Energy2022 / p. 1596-1609 https://doi.org/10.1002/we.2760 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Smart elevator with unsupervised learning for visitor profiling and personalised destination predictionLeier, Mairo; Riid, Andri; Alumäe, Tanel; Pihlak, Rene; Udal, Andres; Heinsar, Risto; Vainküla, Sven2021 IEEE International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) : Virtual Conference, 14-22 May 2021 : proceedings2021 / p. 9-16 https://doi.org/10.1109/CogSIMA51574.2021.9475921

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Status Detector for Fuzzing-Based Vulnerability Mining of IEC 61850 ProtocolVisky, Gabor; Lavrenovs, Arturs; Maennel, Olaf ManuelProceeding of the 20th European Conference on Cyber Warfare and Security2021 / p. 454-461 https://doi.org/10.34190/EWS.21.007

Swarm-intelligence algorithms for mining numerical association rules : an exhaustive multi-aspect analysis of performance assessment dataKaushik, Minakshi; Kõiva, Pilleriin; Sharma, Rahul; Fister, Iztok jr.; Draheim, DirkSSRN2023 / 37 p https://ssrn.com/abstract=4399331

SVM Time series classification of selected gait abnormalitiesRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Ahmadov, UlviBODYNETS 2021: Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021 : proceedings2022 / 15 p https://doi.org/10.1007/978-3-030-95593-9_16 Conference proceedings at Scopus Article at Scopus Article at WOS

A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorderBertl, Markus; Metsallik, Janek; Ross, PeeterFrontiers in Psychiatry2022 / art. 923613, 13 p. : ill https://doi.org/10.3389/fpsyt.2022.923613 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Techno-economic analysis and energy forecasting study of domestic and commercial photovoltaic system installations in EstoniaShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Jawad, Muhammad; Allik, Alo; Husev, OleksandrEnergy2022 / art. 124156 https://doi.org/10.1016/j.energy.2022.124156 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Time-frame analysis of system calls behavior in machine learning-based mobile malware detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin2019 International Conference on Cyber Security for Emerging Technologies : CSET 2019, Doha, Qatar, 27 October 2019 through 29 October 20192019 / art. 89049088 ; 8 p. : ill https://doi.org/10.1109/CSET.2019.8904908

Towards artificial intelligence driven immersive environments in virtual reality for industrial applicationsAlsaleh, Saleh Ragheb Saleh; Tepljakov, Aleksei; Tamre, Mart; Petlenkov, Eduard44th International Conference on Telecommunications and Signal Processing (TSP)2021 / p. 340-345 https://doi.org/10.1109/TSP52935.2021.9522676

Towards generation of synthetic data sets for hybrid conflict modellingNõmm, Sven; Venables, AdrianIFAC-Papers OnLine2022 / p. 25-30 https://doi.org/10.1016/j.ifacol.2022.10.226 Conference Proceedings at Scopus Article at Scopus Article at WOS

Towards personalized elevator travel with smart elevator systemRobal, Tarmo; Reinsalu, Uljana; Leier, MairoBaltic journal of modern computing2020 / p. 675-697 https://doi.org/10.22364/bjmc.2020.8.4.12 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin18th IEEE International Conference on Machine Learning and Applications : ICMLA 2019, 16–19 December 2019, Boca Raton, Florida, USA : proceedings2019 / p. 1162-1169 : ill https://doi.org/10.1109/ICMLA.2019.00193

Tremor-related feature engineering for machine learning based Parkinson’s disease diagnosticsValla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroBiomedical signal processing and control2022 / art. 103551 https://doi.org/10.1016/j.bspc.2022.103551 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Trends and challenges in intelligent condition monitoring of electrical machines using machine learningKudelina, Karolina; Vaimann, Toomas; Asad, Bilal; Rassõlkin, Anton; Kallaste, Ants; Demidova, GalinaApplied sciences2021 / art. 2761, 19 p. : ill https://doi.org/10.3390/app11062761 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Understanding multidimensional verification : where functional meets non-functionalLai, Xinhui; Balakrishnan, Aneesh; Lange, Thomas; Jenihhin, Maksim; Ghasempouri, Tara; Raik, Jaan; Alexandrescu, DanMicroprocessors and microsystems2019 / art. 102867, 13 p. : ill https://doi.org/10.1016/j.micpro.2019.102867 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systemsGuerra Manzanares, Alejandro; Medina-Galindo, Jorge; Bahsi, Hayretdin; Nõmm, SvenInformation Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers2022 / p. 222–243 https://doi.org/10.1007/978-3-030-94900-6_11 Conference proceedings at Scopus Article at Scopus Article at WOS

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Wind energy forecasting using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Ahmadiahangar, Roya; Iqbal, Muhammad Naveed; Rosin, Argo2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)2019 / 5 p. : ill https://doi.org/10.1109/BdKCSE48644.2019.9010593