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artikkel kogumikus

Adjustable self-healing methodology for accelerated functions in heterogeneous systemsRiazati, Mohammad; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Sjodin, Mikael; Lisper, Bjorn2020 23rd Euromicro Conference on Digital System Design (DSD), 26-28 August 2020, Kranj, Slovenia2020 / p. 638-645 https://doi.org/10.1109/DSD51259.2020.00104

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APPRAISER : DNN fault resilience analysis employing approximation errorsTaheri, Mahdi; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Raik, Jaan; Daneshtalab, Masoud26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, May 3-5, 2023, Tallinn2023 / p. [?] https://ddecs2023.taltech.ee/

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An automated configuration framework for TSN networksHoutan, Bahar; Bergström, Albert; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, Saad2021 22nd IEEE International Conference on Industrial Technology (ICIT) : proceedings2021 / p. 771–778 https://doi.org/10.1109/ICIT46573.2021.9453628

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AutoRIO : an indoor testbed for developing autonomous vehiclesLoni, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC) : December 16-18, 2018 Alexandria, Egypt2018 / p. 69-72 : ill https://doi.org/10.1109/JEC-ECC.2018.8679543

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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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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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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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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

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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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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 https://doi.org/10.1109/TSMC.2021.3123136

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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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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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Message from Program Co-Chairs: PDP 2020Daneshtalab, Masoud; Brorsson, Mats2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / 1 p https://doi.org/10.1109/PDP50117.2020.00006

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Multi-level binarized LSTM in EEG classification for wearable devicesNazari, N.; Mirsalari, Seyed Ahmad; Sinaei, S.; Salehi, M.E.; Daneshtalab, Masoud2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / p. 175-181 https://doi.org/10.1109/PDP50117.2020.00033

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Network-on-ReRAM for scalable processing-in-memory architecture designDabiri, Bita; Modarressi, Mehdi; Daneshtalab, Masoud24th Euromicro Conference on Digital System Design (DSD)2021 https://doi.org/10.1109/DSD53832.2021.00031

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NoM: network-on-memory for inter-bank data transfer in highly-banked memoriesRezaei, S.H.S.A.; Modarressi, M.; Ausavarungnirun, R.; Sadrosadati, M.; Mutlu, O.; Daneshtalab, MasoudIEEE computer architecture letters2020 / p. 80-83 http://dx.doi.org/10.1109/LCA.2020.2990599

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Preface from General Co-Chairs: PDP 2020Daneshtalab, Masoud; Francesco, L.; Sjodin, Mikael2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / 1 p https://doi.org/10.1109/PDP50117.2020.00005

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RoCo-NAS : robust and compact neural architecture searchGeraeinejad, Vahid; Sinaei, Sima; Modarressi, Mehdi; Daneshtalab, Masoud2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 8 l https://doi.org/10.1109/IJCNN52387.2021.9534460

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Scalable parallel genetic algorithm for solving large integer linear programming models derived from behavioral synthesisFallah, Mohammad K.; Mirhosseini, M.; Fazlali, Mahmood; Daneshtalab, Masoud2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / p. 390-394 https://doi.org/10.1109/PDP50117.2020.00066

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Schedulability analysis of best-effort traffic in TSN networksHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Afshar, Sara; Mubeen, Saad26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)2021 / 8 l https://doi.org/10.1109/ETFA45728.2021.9613511

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A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming modelsFallah, Mohammad K.; Fazlali, Mahmood; Daneshtalab, MasoudComputing2023 / p. 1121-1139 https://doi.org/10.1007/s00607-021-01004-x

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Synthesising schedules to improve QoS of best-effort traffic in TSN networksHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadRTNS'2021 : 29th International Conference on Real-Time Networks and Systems2021 / p. 68-77 https://doi.org/10.1145/3453417.3453423

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Time-Sensitive Networking in automotive embedded systems : state of the art and research opportunitiesAshjaei, Mohammad; Bello, Lucia Lo; Daneshtalab, Masoud; Patti, Gaetano; Saponara, Sergio; Mubeen, SaadJournal of Systems Architecture : the EUROMICRO Journal2021 https://doi.org/10.1016/j.sysarc.2021.102137

artikkel ajakirjas

Daneshtalab, Masoud (autor)

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