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76

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Explainable Artificial Intelligence (XAI) techniques for energy and power systems : review, challenges and opportunitiesMachlev, Ram; Heistrene, L.; Perl, M.; Levy, K. Y.; Belikov, Juri; Mannor, S.; Levron, YoashEnergy and AI2022 / art. 100169, 13 p. : ill https://doi.org/10.1016/j.egyai.2022.100169 Journal metrics at Scopus Article at Scopus Article at WOS

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77

book article

Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN AcceleratorsTaheri, Mahdi; Cherezova, Natalia; Ansari, Mohammad Saeed; Jenihhin, Maksim; Mahani, Ali; Daneshtalab, Masoud; Raik, Jaan25th International Symposium on Quality Electronic Design (ISQED)2025 / 8 p. : ill https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372

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Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

78

journal article EST / journal article ENG

Exploratory data analysis based short-term electrical load forecasting : a comprehensive analysisJaved, Umar; Ijaz, Khalid; Shabbir, Noman; Kütt, Lauri; Husev, OleksandrEnergies2021 / art. 5510 https://doi.org/10.3390/en14175510 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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79

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Exploring the limits of early predictive maintenance in wind turbines applying an anomaly detection techniqueJankauskas, Mindaugas; Serackis, Artūras; Šapurov, Martynas; Pomarnacki, Raimondas; Baskys, Algirdas; Hyunh, Van Khang; Vaimann, Toomas; Zakis, JanisSensors2023 / art. 5695 https://doi.org/10.3390/s23125695 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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80

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FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networksMirsalari, Seyed Ahmad; Nazari, Najmeh; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, MasoudIEEE design & test2022 / p. 45-53 https://doi.org/10.1109/MDAT.2021.3070245

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81

book article EST / book article ENG

FARMUR: fair adversarial retraining to mitigate unfairness in robustnessMousavi, Seyed Ali; Mousavi, Hamid; Daneshtalab, MasoudAdvances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings2023 / p. 133-145 https://doi.org/10.1007/978-3-031-42914-9_10 Conference proceedings at Scopus Article at Scopus

book article EST / book article ENG

82

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Fault detection and predictive maintenance of electrical machines : perspective chapterRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, ToomasNew Trends in Electric Machines - Technology and Applications2022 https://doi.org/10.5772/intechopen.107167

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IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks

83

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FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networksManzoor, Habib Ullah; Khan, Ahsan Raza; Flynn, David; Alam, Muhammad Mahtab; Akram, Muhammad; Imran, Muhammad Ali; Zoha, AhmedSensors2023 / art. 3570 https://doi.org/10.3390/s23073570 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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84

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Fingerprint recognition for distorted image applications using three-rate hybrid Kohonen neural networkAstrov, Igor; Tatarly, Sergei; Tatarly, Svetlana; Rüstern, EnnuMathematical Methods and Computational Techniques in Research and Education : 7th WSEAS International Conference on Wavelet Analysis and Multirate Systems (WAMUS'07) : Arcachon, France, October 13-15, 20072007 / p. 122-126 https://dl.acm.org/doi/abs/10.5555/1974885.1974887

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85

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Fingerprint recognition for varied degrees of image distortion using three-rate hybrid Kohonen neural networkAstrov, Igor; Tatarly, Sergei; Tatarly, SvetlanaProceedings of 2008 International Conference on Audio, Language and Image Processing (ICALIP 2008 : Shanghai, China, July 7-9, 2008). 12008 / p. 363-369 https://ieeexplore.ieee.org/document/4590098

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86

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Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniquesEllahi, Manzoor; Usman, Muhammad Rehan; Arif, Waqas; Usman, Hafiz Fuad; Khan, Waheed A.; Satrya, Gandeva Bayu; Daniel, Kamran; Shabbir, NomanElectronics2022 / art. 4193 https://doi.org/10.3390/electronics11244193 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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87

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FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNsNazari, Samira; Taheri, Mahdi; Azarpeyvand, Ali; Afsharchi, Mohsen; Ghasempouri, Tara; Herglotz, Christian; Daneshtalab, Masoud; Jenihhin, Maksim2024 IEEE 33rd Asian Test Symposium (ATS)2024 / p. 1-6 : ill https://doi.org//10.1109/ATS64447.2024.10915463

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Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

88

book article

A 48 by 48 CMOS cellular neural network chip for image processingPaasio, Ari; Kananen, Asko; Halonen, Kari; Porra, VeikkoBEC'98 : the 6th Biennial Conference on Electronics and Microsystems Technology, October 7-9, 1998, Tallinn, Estonia : proceedings1998 / p. 87-88

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89

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Fully-fusible convolutional neural networks for end-to-end fused architecture with FPGA implementationDadras, Iman; Seydi, Sakineh; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Salehi, Mostafa E.2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)2023 / 5 p. https://doi.org/10.1109/ICECS58634.2023.10382831

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90

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GA based optimization of NN-SANARX model for adaptive control of nonlinear systemsVassiljeva, Kristina; Petlenkov, Eduard; Belikov, JuriWCCI 2012 : IEEE World Congress on Computational Intelligence : June, 10-15, 2012, Brisbane, Australia2012 / p. 1674-1681 : ill https://ieeexplore.ieee.org/document/6252598

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91

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Generative adversarial network and CNN-LSTM based short-term power load forecastingLiu, Y.; Liang, Z.; Li, X.; Bakeer, Abualkasim Ahmed Ali2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / p. 1-6 https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473

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92

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Genetic algorithm based structure identification for feedback control of nonlinear MIMO systemsVassiljeva, Kristina; Belikov, Juri; Petlenkov, EduardLecture notes in computer science2011 / p. 215-226 : ill https://link.springer.com/chapter/10.1007/978-3-642-23857-4_23

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93

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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

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94

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Harnessing graph neural networks to predict international trade flowsSellami, Bassem; Ounoughi, Chahinez; Kalvet, Tarmo; Tiits, Marek; Rincon-Yanez, DiegoBig Data and Cognitive Computing2024 / art. 65 https://doi.org/10.3390/bdcc8060065 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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95

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Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?Dobchev, Dimitar; Karelson, MatiExpert Opinion on Drug Discovery2016 / p. 627 - 639 https://doi.org/10.1080/17460441.2016.1186876 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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96

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Heterogeneous Approximation of DNN HW Accelerators based on Channels VulnerabilityCherezova, Natalia; Pappalardo, Salvatore; Taheri, Mahdi; Ahmadilivani, Mohammad Hasan; Deveautour, Bastien; Bosio, Alberto; Raik, Jaan; Jenihhin, Maksim2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)2024 / 4 p. : ill https://doi.org//10.1109/VLSI-SoC62099.2024.10767798

book article

Related publications 1

Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

97

journal article

Hierarhilis-temporaalse mälu printsiipTammemäe, KalleA & A2007 / 3, lk. 9-19 : ill https://artiklid.elnet.ee/record=b1020789*est

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98

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Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)2023 / p. 595 - 601 https://doi.org/10.1109/ICMLA58977.2023.00088

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99

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Infotehnoloogia. Sõnastik. Osa 34, Intellektitehnika. NeurovõrgudHanson, Vello; Tavast, Arvi; Kalja, Ahto; Võhandu, Leo2001 https://www.ester.ee/record=b1536069*est

book

100

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An integrated decision support system for the resilience assessment of eastern Baltic Sea coastsBarzehkar, Mojtaba; Parnell, Kevin Ellis; Soomere, TarmoCoastGIS 2021 : Sustainable Coastal Management in a Changing World : conference proceedings2021 / p. 12 https://www.novia.fi/assets/Projectsites/CoastGIS/CoastGIS-2021-Book-of-Abstracts.pdf

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