Otsing - TalTech teadusportaal

kuva

reasta

51

artikkel kogumikus

QoS-MAN : a novel QoS mapping algorithm for TSN-5G flowsSatka, Zenepe; Ashjaei, Mohammad; Fotouhi, Hossein; Daneshtalab, Masoud; Sjodin, Mikael; Mubeen, Saad2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)2022 / p. 220-227 https://doi.org/10.1109/RTCSA55878.2022.00030

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Review, analysis, and implementation of path selection strategies for 2D NoCsSingh, Rajendra; Bohra, Manoj Kumar; Hemrajani, Prashant; Kalla, Anshuman; Bhatt, Devershi Pallavi; Purohit, Nitin; Daneshtalab, MasoudIEEE Access2022 / p. 129245 - 129268 https://doi.org/10.1109/ACCESS.2022.3227460 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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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 Conference Proceedings at Scopus Article at Scopus Article at WOS

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SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN AcceleratorsTaheri, Mahdi; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim; Pappalardo, Salvatore; Jimenez, Paul; Deveautour, Bastien; Bosio, Alberto2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland2024 / p. 19–24 : ill https://doi.org//10.1109/DDECS60919.2024.10508925

artikkel kogumikus

Seotud publikatsioonid 1

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

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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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Special session : approximation and fault resiliency of DNN acceleratorsAhmadilivani, Mohammad Hasan; Barbareschi, Mario; Barone, Salvatore; Bosio, Alberto; Daneshtalab, Masoud; Torca, Salvatore Della; Gavarini, Gabriele; Jenihhin, Maksim; Raik, Jaan; Taheri, Mahdi2023 IEEE 41st VLSI Test Symposium (VTS) : proceedings2023 / 10 p. : ill https://doi.org/10.1109/VTS56346.2023.10140043 Conference proceeding at Scopus Article at Scopus Article at WOS

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Seotud publikatsioonid 1

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

58

artikkel ajakirjas

Supporting end-to-end data propagation delay analysis for TSN-based distributed vehicular embedded systemsHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadJournal of Systems Architecture2023 / art. 102911 https://doi.org/10.1016/j.sysarc.2023.102911

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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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A systematic literature review on hardware reliability assessment methods for deep neural networksAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimACM Computing Surveys2024 / art. 141, 39 p. : ill https://doi.org/10.1145/3638242 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Seotud publikatsioonid 2

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Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 Conference proceedings at Scopus Article at Scopus

artikkel kogumikus

Seotud publikatsioonid 1

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

63

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TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge DevicesLoni, Mohammad; Mousavi, Hamid; Riazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings2022 / p. 1115-1118 https://doi.org/10.23919/DATE54114.2022.9774615

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3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detectionZoljodi, Ali; Loni, Mohammad; Abadijou, Sadegh; Alibeigi, Mina; Daneshtalab, MasoudArtificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I2022 / p. 404-415 https://doi.org/10.1007/978-3-031-15919-0_34 Conference Proceedings at scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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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

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TrajectoryNAS: a neural architecture search for trajectory predictionSharifi, Ali Asghar; Zoljodi, Ali; Daneshtalab, MasoudSensors2024 / 15, p. : ill https://doi.org/10.3390/s24175696 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Daneshtalab, Masoud (autor)

teaviku laadid

autor 3

CV 2

tema kohta 1