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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

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

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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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Designing Compact Convolutional Neural Network for Embedded Stereo Vision SystemsLoni, Mohammad; Majd, Amin; Loni, Abdolah; Daneshtalab, Masoud; Sjödin, Mikael; Troubitsyna, Elena2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip : MCSoC 2018 : proceedings2018 / p. 244–251 : ill https://doi.org/10.1109/MCSoC2018.2018.00049

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Developing a translation technique for converged TSN-5G communicationSatka, Zenepe; Pantzar, David; Magnusson, Alexander; Ashjaei, Mohammad; Fotouhi, Hossein; Sjödin, Mikael; Daneshtalab, Masoud; Mubeen, SaadCommunication in Automation : 18th IEEE International Workshop on Factory Communication Systems 2022 : WFCS 20222022 / 8 p https://doi.org/10.1109/WFCS53837.2022.9779191

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Does fault tolerance safeguard DNNs against bitfiip attacks? A case studyAhmadilivani, Mohammad Hasan; Kobayashi, Yuto; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, Maksim2025 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)2025 / p. 1-4 https://doi.org/10.1109/DFT66274.2025.11257506 Conference proceedings at Scopus Article at Scopus

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An efficient architecture for edge AI federated learning with homomorphic encryptionRahbari, Dadmehr; Daneshtalab, Masoud; Jenihhin, MaksimIEEE Access2025 / p. 97919-97929 https://doi.org/10.1109/ACCESS.2025.3576689 https://ieeexplore.ieee.org/abstract/document/11023593 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Efficient on-device transfer learning using activation memory reductionYoosefi, Amin; Mousavi, Hamid; Daneshtalab, Masoud; Kargahi, Mehdi2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)2023 / p. 210-215 https://doi.org/10.1109/FMEC59375.2023.10306182

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ELC-ECG: efficient LSTM cell for ECG classification based on quantized architectureMirsalari, Seyed Ahmad; Nazari, Najmeh; Ansarmohammadi, Seyed Ali; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, Masoud2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings2021 / 5 p https://doi.org/10.1109/ISCAS51556.2021.9401261 Conference Proceedings at Scopus Article at Scopus Article at WOS

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End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle SoftwareHoutan, Bahar; Aybek, Mehmet Onur; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad48th Euromicro Conference on Software Engineering and Advanced Applications : SEAA 2022 : proceedings2022 / p. 366-369 https://doi.org/10.1109/SEAA56994.2022.00064

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End-to-end timing modeling and analysis of TSN in component-based vehicular softwareHoutan, Bahar; Aybek, Mehmet Onur; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Lundbäck, John; Mubeen, Saad2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)2023 / p. 126-135 https://doi.org/10.1109/ISORC58943.2023.00025

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Enhancing fault resilience of QNNs by selective neuron splittingAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, Maksim2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)2023 / 5 p. : ill https://doi.org/10.1109/AICAS57966.2023.10168633

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Enhancing global model performance in federated learning with non-IID data using a data-free generative diffusion modelNajafi, Mohammadreza; Daneshtalab, Masoud; Lee, Jeong-A; Saadloonia, Ghazal; Shin, SeokjooIEEE Access2024 / p. 148230-148239 : ill https://doi.org/10.1109/ACCESS.2024.3474056 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Evaluating the robustness of ML models to out-of-distribution data through similarity analysisLindén, Joakim; Forsberg, Håkan; Daneshtalab, Masoud; Söderquist, IngemarNew Trends in Database and Information Systems; ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings2023 / p. 348 - 359 https://doi.org/10.1007/978-3-031-42941-5_30

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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, JaanProceedings of the Twenty Fifth International Symposium on Quality ElectronicDesign : ISQED 20242024 / 8 p. : ill https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372 https://doi.org/10.1109/ISQED60706.2024.10528372 Conference proceedings at Scopus Article at Scopus Article at WOS

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Related publications 1

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

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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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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

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FastStereoNet : A fast neural architecture search for improving the inference of disparity estimation on resource-limited platformsLoni, Mohammad; Zoljodi, Ali; Majd, Amin; Ahn, Byung Hoon; Daneshtalab, Masoud; Sjödin, Mikael; Esmaeilzadeh, HadiIEEE Transactions on Systems, Man, and Cybernetics : Systems2022 / p. 5222-5234 : ill https://doi.org/10.1109/TSMC.2021.3123136 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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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 Conference proceedings at Scopus Article at Scopus Article at WOS

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

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Frequency domain complex-valued convolutional neural networkChakraborty, Mainak; Aryapoor, Masood; Daneshtalab, MasoudExpert Systems with Applications2026 / art. 128893, 22 p. : ill https://doi.org/10.1016/j.eswa.2025.128893 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Guest editorial : Special issue on parallel, distributed, and network-based processing in next-generation embedded systemsMubeen, Saad; Lo Bello, Lucia; Daneshtalab, Masoud; Saponara, SergioJournal of Systems Architecture : the EUROMICRO Journal2021 / art. 102159 https://doi.org/10.1016/j.sysarc.2021.102159

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HeRD : Modeling Heterogeneous Degradations for Federated Super-Resolution in Satellite ImageryKhan, Bostan; Mousavi, Seyedhamidreza; Daneshtalab, MasoudIEEE Access2025 / p. 125857-125868 https://doi.org/10.1109/ACCESS.2025.3590171

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Improving motion safety and efficiency of intelligent autonomous swarm of dronesMajd, Amin; Loni, Mohammad; Sahebi, Golnaz; Daneshtalab, MasoudDrones2020 / art. 48, 19 p. : ill https://doi.org/10.3390/drones4030048

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Investigating and analyzing CAN-to-TSN gateway forwarding techniquesBerisa, Aldin; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad2023 IEEE 26th International Symposium on Real-Time Distributed Computing : ISORC 2023 : Nashville, Tennessee, USA, 23-25 May 2023 : proceedings2023 / p. 136-145 https://doi.org/10.1109/ISORC58943.2023.00026

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Keynote: cost-efficient reliability for Edge-AI chipsJenihhin, Maksim; Taheri, Mahdi; Cherezova, Natalia; Ahmadilivani, Mohammad Hasan; Selg, Hardi; Jutman, Artur; Shibin, Konstantin; Tsertov, Anton; Devadze, Sergei; Kodamanchili, Rama Mounika; Rafiq, Ahsan; Raik, Jaan; Daneshtalab, Masoud2024 IEEE 25th Latin American Test Symposium (LATS)2024 / 2 p https://doi.org/10.1109/LATS62223.2024.10534610 Article at Scopus

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

50

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Machine learning-based prognostic approaches for construction equipment powertrain systemsYigit, Zafer; Forsberg, Hakan; Daneshtalab, Masoud2025 IEEE Intelligent Vehicles Symposium (IV)2025 / p. 1460-1465 : ill https://doi.org/10.1109/IV64158.2025.11097476 Conference proceeding at Scopus Article at Scopus Article at WOS

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Daneshtalab, Masoud (author)

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