Otsing - TalTech teadusportaal

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1

artikkel kogumikus

Applications of artificial neural networks (ANN) to machining process planningWang, Kesheng; Lei, Bing; Papstel, JüriInternational DAAAM : [DAAAM National Estonia] : proceedings of the 1st International Conference, 25-27th September 1997, Tallinn, Estonia1997 / p. 95-100: ill

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artikkel ajakirjas

Artificial neural networks and evolutionary algorithms in engineering designVelsker, Tarmo; Majak, Jüri; Pohlak, Meelis; Eerme, Martin; Karjust, KristoJournal of achievements in materials and manufacturing engineering2011 / p. 88-95 : ill

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artikkel ajakirjas

The bearing faults detection methods for electrical machines — the state of the artKhan, Muhammad Amir; Asad, Bilal; Kudelina, Karolina; Vaimann, Toomas; Kallaste, AntsEnergies2023 / art. 296 https://doi.org/10.3390/en16010296

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artikkel kogumikus

Challenges in using neural networks in safety-critical applicationsForsberg, H.; Linden, Jan; Hjorth, J.; Manefjord, T.; Daneshtalab, MasoudAIAA/IEEE Digital Avionics Systems Conference - Proceedings, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings2020 / 7 p https://doi.org/10.1109/DASC50938.2020.9256519

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artikkel kogumikus

Composing graph theory and deep neural networks to evaluate SEU type soft error effectsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 20202020 https://doi.org/10.1109/MECO49872.2020.9134279

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artikkel kogumikus

Custom simplified machine learning algorithms for fault diagnosis in electrical machinesRaja, Hadi Ashraf; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Belahcen, AnouarDiagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings2022 / 4 p. https://doi.org/10.1109/Diagnostika55131.2022.9905174

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artikkel ajakirjas

DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN acceleratorsTaheri, Mahdi; Riazati, Mohamad; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Daneshtalab, Masoud; Raik, Jaan; Sjödin, Mikael; Lisper, BjörnarXiv.org2023 / 8 p. : ill https://doi.org/10.48550/arXiv.2303.0822

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DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, Mohammad; Daneshtalab, Masoud; Sjodin, Mikael; Lisper, BjornICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings2020 / 4 p https://doi.org/10.1109/ICECS49266.2020.9294881

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artikkel kogumikus

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

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artikkel kogumikus

Early detection of network attacks using deep learningAhmad, Tanwir; Truscan, Dragos; Vain, Jüri; Porres, Ivan2022 IEEE 15th International Conference on Software Testing, Verification and Validation Workshops : ICSTW 2022, 4–13 April 2022, Virtual Event : proceedings2022 / p. 30-39 http://doi.org/10.1109/ICSTW55395.2022.00020

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artikkel kogumikus

An efficient analog convolutional neural network hardware accelerator enabled by a novel memoryless architecture for insect-sized robotsDadras, Iman; Ahmadilivani, Mohammad Hasan; Banerji, Saoni; Raik, Jaan; Abloo, Alvo2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) : Bremen, Germany : 08-10 June 20222022 / p. 1-6 http://doi.org/10.1109/MOCAST54814.2022.9837551

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artikkel kogumikus

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

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artikkel ajakirjas

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

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artikkel kogumikus

Event-driven ECG classification using an open-source, LC-ADC based non-uniformly sampled datasetSaeed, Maryam; Wang, Qingyuan; Märtens, Olev; Larras, Benoit; Frappe, Antoine; Cardiff, Barry; John, Deepu2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings2021 / 5 p https://doi.org/10.1109/ISCAS51556.2021.9401333

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artikkel kogumikus

Event-driven ECG classification using functional approximation and Chebyshev polynomialsSaeed, Maryam; Märtens, Olev; Larras, Benoit; Frappe, Antoine; John, Deepu; Cardiff, Barry2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 13-15 Oct. 20222022 / p. 595-599 http://dx.doi.org/10.1109/BioCAS54905.2022.9948612

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artikkel ajakirjas

Experimental evaluation and numerical modelling of the quality of photovoltaic modulesTšukrejev, Pavel; Karjust, Kristo; Majak, JüriProceedings of the Estonian Academy of Sciences2021 / p. 477-483 : ill https://doi.org/10.3176/proc.2021.4.15

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artikkel ajakirjas

Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunitiesMachlev, R.; 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

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artikkel ajakirjas

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

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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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artikkel kogumikus

Fault detection and predictive maintenance of electrical machinesRaja, 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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artikkel ajakirjas

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

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artikkel kogumikus

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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raamat

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

raamat

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artikkel kogumikus

Intelligent virtual environments with assessment of user experiencesKöse, Ahmet; Tepljakov, Aleksei; Petlenkov, EduardArtificial Intelligence and Soft Computing : 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021 : proceedings, Part I2021 / p. 463−474 : ill https://doi.org/10.1007/978-3-030-87986-0_41

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JÄNES : a NAS framework for ML-based EDA applicationsSelg, Hardi; Jenihhin, Maksim; Ellervee, PeeterIEEE International Symposium on Defect and Fault Tolerance in VLSI Systems2021 https://doi.org/10.1109/DFT52944.2021.9568321

artikkel kogumikus

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