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Data generative machine learning model for the assessment of outdoor thermal and wind comfort in a northern urban environmentEslamirad, Nasim; De Luca, Francesco; Lylykangas, Kimmo Sakari; Ben Yahia, SadokFrontiers of architectural research2023 / p. 541-555 : ill https://doi.org/10.1016/j.foar.2022.12.001 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Data-driven urban modelling : the case of explainable detection of urban heat island = Andmepõhine linnamodelleerimine : soojussaarte seletatav tuvastamine

77

book article

Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteriaZequera, Rolando Antonio Gilbert; 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

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Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

78

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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

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79

journal article

Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methodsKuivjõgi, Helena; Vasman, Sofia; Petlenkov, Eduard; Thalfeldt, Martin; Kurnitski, JarekJournal of building engineering2024 / art. 111016 https://doi.org/10.1016/j.jobe.2024.111016

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80

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Data-driven quantification and aggregation of demand-side flexibility for symmetrical bidding in energy balancing marketsShahid, Arqum; Ahmadiahangar, Roya; Kilter, Jako; Rosin, ArgoElectric Power Systems Research2025 / art. 111823 https://doi.org/10.1016/j.epsr.2025.111823

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81

dissertation

Data-driven urban modelling : the case of explainable detection of urban heat island = Andmepõhine linnamodelleerimine : soojussaarte seletatav tuvastamineEslamirad, Nasim2023 https://www.ester.ee/record=b5645371*est https://doi.org/10.23658/taltech.68/2023 https://digikogu.taltech.ee/et/Item/ff9725f6-fc34-474c-ad5b-0ed6128127ee https://www.ester.ee/record=b5645371*est

dissertation

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82

book article

Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM frameworkHokmabad, Hossein Nourollahi; Husev, Oleksandr; Vinnikov, Dmitri; Belikov, Juri; Petlenkov, EduardIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings2023 / 5 p https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090

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83

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Deep learning based audio-visual emotion recognition in a smart learning environmentDunajeva, Olga; Pentel, Avar; Ivleva, Natalja; Juštšenko, ValeriaTowards a Hybrid, Flexible and Socially Engaged Higher Education : proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), vol. 12024 / p. 420-431 https://doi.org/10.1007/978-3-031-51979-6_44 Conference proceedings at scopus Article at Scopus Article at WOS

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84

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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 Vehicles2025 / p. 668-682 https://doi.org/10.1109/TIV.2024.3417216

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Related publications 1

Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

85

book article

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

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86

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Deep Reinforcement Learning for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge networkSellami, Bassem; Hakiri, Akram; Ben Yahia, SadokFuture generation computer systems2022 / p. 363-379 https://doi.org/10.1016/j.future.2022.07.024 Journal metrics at Scopus Article at Scopus Journal metrics at Scopus Article at Scopus

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87

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Deep reinforcement learning-based digital twin for droplet microfluidics controlGyimah, Nafisat; Scheler, Ott; Rang, Toomas; Pardy, TamasPhysics of Fluids2023 / art. 082020 https://doi.org/10.1063/5.0159981 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Closed-loop droplet size control in microﬂuidics = Suletud ahelaga tilkade suuruse juhtimine mikroﬂuidikas

88

journal article

DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural NetworksAhmadilivani, Mohammad Hasan; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimarXiv.org2024 / 14 p. : ill https://doi.org/10.48550/arXiv.2410.15742

journal article

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Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

89

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Deliverable 2.7 Initial AI-Driven Edge Computing and Precise Localization DemonstratorMüürsepp, Ivo2023 Deliverable 2.7 Initial AI-Driven Edge Computing and Precise Localization Demonstrator (PDF)

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90

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Detecting Simpson’s paradox : a machine learning perspectiveSharma, Rahul; Garayev, Huseyn; Kaushik, Minakshi; Arakkal Peious, Sijo; Tiwari, Prauag; Draheim, DirkDatabase and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings. Part I2022 / p. 323-335 : ill https://doi.org/10.1007/978-3-031-12423-5_25 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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Uniﬁcation of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks

91

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Detecting Simpson’s paradox : a step towards fairness in machine learningSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Bertl, Markus; Ankit, Vidyarthi; Ashwani, Kumar; Draheim, DirkNew Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022 : proceedings2022 / p. 67-76 : ill https://doi.org/10.1007/978-3-031-15743-1_7 Conference proceedings at Scopus Article at Scopus Article at WOS

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Related publications 1

Uniﬁcation of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks

92

journal article EST / journal article ENG

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

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93

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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

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94

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Detection of stellar wakes in the Milky Way: A deep learning approachPõder, Sven; Pata, Joosep; Benito, María; Asensio, Isaac Alonso; Vecchia, Claudio DallaAstronomy and astrophysics2025 / art. A227 https://doi.org/10.1051/0004-6361/202451480

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95

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Determining necessary length of the alternating series test for Parkinson's disease modellingNõmm, Sven; Kossas, Tanel; Toomela, Aaro; Medijainen, Kadri; Taba, Pille2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings2019 / p. 261-266 : ill http://doi.org/10.1109/CW.2019.00050

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96

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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

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97

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Development of continuous dynamic vertical reference for maritime and offshore engineering by applying geodetic and machine learning strategiesEllmann, Artu; Delpeche-Ellmann, Nicole Camille; Varbla, Sander; Rajabi Kiasari, Saeed; Jahanmard, Vahidreza; Kupavõh, AlekseiEGU General Assembly 20252025 / art. EGU25-20596 https://doi.org/10.5194/egusphere-egu25-20596

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98

dissertation

Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsisRostovski, Jakob2025 https://www.ester.ee/record=b5734578*est https://digikogu.taltech.ee/et/Item/c25ff8f8-a46a-45ce-b231-23d2d52e7f54 https://doi.org/10.23658/taltech.15/2025

dissertation

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99

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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

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100

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Digital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings2021 https://doi.org/10.1007/978-3-030-92909-1

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