Usaldusväärsete arvutisüsteemide keskus
TalTech prioriteetne teadussuund
Klassifikaator (Frascati)
Uurimisrühma juht
Uurimisrühma liige
Doktorant
Võtmesõna
nanoelektroonika projekteerimine
turvalisus
verifitseerimine ja test
mitme- ja paljutuumalised süsteemid
närvivõrkude kiirendid
Ülevaade
Usaldusväärsete arvutisüsteemide keskuse uurimistöö põhisuunad hõlmavad laia teemade ringi digitaalsüsteemide (k.a. mitme- ja paljutuumalised süsteemid) projekteerimise, usaldusväärsuse, verifitseerimise ja testimise vallast. Peamised uurimissuunad aastal 2022 hõlmasid:• Uudsed 3D kiibitehnoloogiad (koostöö: Stanfordi ülikool);• Riistvara turve (koostöö: Delfti TÜ, LIRMM/Montpellier, Airbus, Frankfurt UAS);• Närvivõrkude riistvaralised kiirendid (koostöö: Mälardaleni Ülikool, Tartu Ülikool, Fraunhofer IKS); • Kihiülene usaldusväärsus sensorvõrkudes (koostöö: Testonica Lab OÜ);• Verifitseerimine (omaduste kaevandamine) (koostöö: EPFL/Lausanne, TU Hamburg, Saksa kosmosekeskus DLR);Keskus on mitmete üle-Euroopaliste aktsioonide eestvedaja. Hetkel osaletakse Horisont2020 Twinning projektis SAFEST. Samuti ollakse partneriks teaduse tippkeskuses EXCITE.
Tähtsamad tulemused
2023. aastal hõlmasid uurimisrühma olulisemad teadustulemused usaldusväärse tehisintellekti, riistvara turvalisuse ning autonoomsete sõidukite valdkondi. Esimesena nimetatud kahes valdkonnas avaldati mõlemas põhjalikud ülevaateartiklid ajakirjas ACM Computing Surveys. Riistvara turvalisuse vallas osaleti edukalt Prof. S. Pagliarini juhitud rahvusvahelise konsortsiumi töö koordineerimises ja lõpuni viimises EL Horisondi Twinning projekti SAFEST raames koostöös riistvara turvalisuse teaduskeskusega. Autonoomsete sõidukite valdkonnas käivitati uus NATO projekt "Autonoomsete droonide kasutamine tarkades lennuparvedes" ning jätkus osalemine EL Horisondi RIA projektis IRIS.
Seotud projektid
Uurimisrühma tegevusperiood
2023
2022
2021
2020
2019
2018
2017
Seotud struktuuriüksus
Teadusgrupiga seotud publikatsioonid
- Allik, A., Pilt, K., Viigimäe, M., Fridolin, I., Jervan, G. A novel physical fatigue assessment method utilizing heart rate variability and pulse arrival time towards personalized feedback with wearable sensors // Sensors (2022) vol. 22, 4, art. 1680.
https://doi.org/10.3390/s22041680 - Almeida, F., Imran, M., Raik, J., Pagliarini, S. Ransomware attack as Hardware Trojan : a feasibility and demonstration study // IEEE Access (2022) vol. 10, p. 44827-44839.
https://doi.org/10.1109/ACCESS.2022.3168991 - Kerner, M., Tammemäe, K., Raik, J., Hollstein, T. Triple fixed-point MAC unit for deep learning // Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference. : IEEE, 2021. p. 1404-1407.
https://doi.org/10.23919/DATE51398.2021.9474020 - Ghasempouri, T., Raik, J., Paul, K., Reinbrecht, C., Hamdioui, S., Taouil, M. Verifying cache architecture vulnerabilities using a formal security verification flow // Microelectronics reliability (2021) vol. 119, art. 114085.
https://doi.org/10.1016/j.microrel.2021.114085 - Vihman, L., Kruusmaa, M., Raik, J. Systematic review of fault tolerant techniques in underwater sensor networks // Sensors (2021) vol. 21, 9, art. 3264.
https://doi.org/10.3390/s21093264 - Heidari Iman, M.R., Raik, J., Jervan, G., Ghasempouri, T. IMMizer : an innovative cost-effective method for minimizing assertion sets // Proceedings - 2022 25th Euromicro Conference on Digital System Design, DSD 2022. New York : IEEE, 2022. p. 671 - 678.
https://doi.org/10.1109/DSD57027.2022.00095 - Ashjaei, M., Bello, L. L., Daneshtalab, M., Patti, G., Saponara, S., Mubeen, S. Time-Sensitive Networking in automotive embedded systems : state of the art and research opportunities // Journal of Systems Architecture : the EUROMICRO Journal (2021) vol. 117, C
https://doi.org/10.1016/j.sysarc.2021.102137 - Houtan, B., Ashjaei, M., Daneshtalab, M., Sjödin, M., Mubeen, S. Synthesising schedules to improve QoS of best-effort traffic in TSN networks // RTNS'2021 : 29th International Conference on Real-Time Networks and Systems. New York : Association for Computing Machinery, 2021. p. 68-77.
https://doi.org/10.1145/3453417.3453423 - Bellman, K., Landauer, C., Dutt, N., Tammemäe, K. et al. Self-aware cyber-physical systems // ACM transactions on cyber-physical systems (2020) vol. 4, 4, p. 1−26.
https://doi.org/10.1145/3375716 - Rezaei, S.H.S.A., Modarressi, M., Ausavarungnirun, R., Daneshtalab, M. et al. NoM: network-on-memory for inter-bank data transfer in highly-banked memories // IEEE computer architecture letters (2020) vol. 19, 1, p. 80-83.
http://dx.doi.org/10.1109/LCA.2020.2990599 - Kaeval, K., Fehenberger, T., Zou, J., Jansen, S. L., Grobe, K., Griesser, H., Elbers, J.-P., Tikas, M., Jervan, G. QoT assessment of the optical spectrum as a service in disaggregated network scenarios // Journal of Optical Communications and Networking (2021) vol. 13, 10, art. 9436771, p. E1-E12.
https://doi.org/10.1364/JOCN.423530 - Ahmed, F., Jenihhin, M. A survey on UAV computing platforms : a hardware reliability perspective // Sensors (2022) vol. 22, 16, art. 6286.
https://doi.org/10.3390/s22166286 - Nazari, N., Mirsalari, S.A., Sinaei, S., Daneshtalab, M. et al. Multi-level binarized LSTM in EEG classification for wearable devices // 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 2020. Danvers : IEEE, 2020. p. 175-181.
https://doi.org/10.1109/PDP50117.2020.00033 - Loni, M., Mousavi, H., Riazati, M., Daneshtalab, M., Sjodin, M. TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge Devices // Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE 2022). : IEEE, 2022. p. 1115-1118.
https://doi.org/10.23919/DATE54114.2022.9774615 - Houtan, B., Bergstrom, A., Ashjaei, M., Daneshtalab, M., Sjodin, M., Mubeen, S. An automated configuration framework for TSN networks // 2021 22nd IEEE International Conference on Industrial Technology (ICIT) : proceedings. Piscataway : IEEE, 2021. p. 771-778.
https://doi.org/10.1109/ICIT46573.2021.9453628 - Loni, M., Zoljodi, A., Majd, A., Ahn, B. H., Daneshtalab, M., Sjödin, M., Esmaeilzadeh, H. FastStereoNet : A fast neural architecture search for improving the inference of disparity estimation on resource-limited platforms // IEEE Transactions on Systems, Man, and Cybernetics : Systems (2022) vol. 52, 8, p. 5222-5234 : ill.
https://doi.org/10.1109/TSMC.2021.3123136 - Berisa, A., Zhao, L., Craciunas, S.S., Ashjaei, M., Mubeen, S., Daneshtalab, M.,Sjödin, M. AVB-aware routing and scheduling for critical traffic in time-sensitive networks with preemption // RTNS '22: Proceedings of the 30th International Conference on Real-Time Networks and Systems. : Association for Computing Machinery, 2022. p. 207-218.
https://doi.org/10.1145/3534879.3534926 - Satka, Z., Pantzar, D., Magnusson, A., Ashjaei, M., Fotouhi, H., Sjodin, M.,Daneshtalab, M., Mubeen, S. Developing a translation technique for converged TSN-5G communication // Communication in Automation : 18th IEEE International Workshop on Factory Communication Systems 2022 : WFCS 2022. Danvers : IEEE, 2022. 8 p.
https://doi.org/10.1109/WFCS53837.2022.9779191 - Loni, M., Zoljodi, A., Maier, D., Daneshtalab, M. et al. DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture // 2020 IEEE Congress on Evolutionary Computation (CEC) : Conference proceedings. Danvers : IEEE, 2020. 8 p.
https://doi.org/10.1109/CEC48606.2020.9185611 - Majd, A., Loni, M., Sahebi, G., Daneshtalab, M. Improving motion safety and efficiency of intelligent autonomous swarm of drones // Drones (2020) vol. 4, 3, art. 48, 19 p. : ill.
https://doi.org/10.3390/drones4030048 - Balakrishnan, A., Lange, T., Glorieux, M., Alexandrescu, D., Jenihhin, M. Composing graph theory and deep neural networks to evaluate SEU type soft error effects // 9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020. Danvers : IEEE, 2020.
https://doi.org/10.1109/MECO49872.2020.9134279 - Rahbari, D., Alam, M. M., Le Moullec, Y., Jenihhin, M. Fast and fair computation offloading management in a swarm of drones using a rating-based federated learning approach // IEEE Access (2021) vol. 9, p. 113832-113849.
https://doi.org/10.1109/ACCESS.2021.3104117 - Reinbrecht, C., Hamdioui, S., Taouil, M., Niazmand, B., Ghasempouri, T., Raik, J., Sepúlveda, J. LiD-CAT: A lightweight detector for cache ATtacks // 2020 IEEE European Test Symposium (ETS) : ETS 2020, May 25-29, 2020
Tallinn, Estonia : proceedings. Danvers : IEEE, 2020. 6 p. : ill.
https://doi.org/10.1109/ETS48528.2020.9131603 - Satka, Z., Ashjaei, M., Fotouhi, H., Daneshtalab, M., Sjodin, M., Mubeen, S. QoS-MAN : a novel QoS mapping algorithm for TSN-5G flows // 2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA). Piscataway : IEEE, 2022. p. 220-227.
https://doi.org/10.1109/RTCSA55878.2022.00030 - Leoste, J., Virkus, S., Talisainen, A., Tammemäe, K., Kangur, K., Petriashvili, I. Higher education personnel's perceptions about telepresence robots // Frontiers in Robotics and AI (2022) vol. 9, 14 p. : ill.
https://doi.org/10.3389/frobt.2022.976836 - Päeske, L., Hinrikus, H., Lass, J., Raik, J., Bachmann, M. Negative correlation between functional connectivity and small-worldness in the alpha frequency band of a healthy brain // Frontiers in Physiology (2020) Vol. 11, Art. nr. 910.
https://doi.org/10.3389/fphys.2020.00910 - Houtan, B., Ashjaei, M., Daneshtalab, M., Sjödin, M., Afshar, S., Mubeen, S. Schedulability analysis of best-effort traffic in TSN networks // 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). : IEEE, 2021. 8 l.
https://doi.org/10.1109/ETFA45728.2021.9613511 - Mirsalari, S. A., Nazari, N., Sinaei, S., Salehi, M. E., Daneshtalab, M. FaCT-LSTM : fast and compact ternary architecture for LSTM recurrent neural networks // IEEE design & test (2022) vol. 39, 3, p. 45-53.
https://doi.org/10.1109/MDAT.2021.3070245 - Riazati, M., Daneshtalab, M., Sjodin, M., Lisper, B. DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA // ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings. Danvers : IEEE, 2020. 4 p.
https://doi.org/10.1109/ICECS49266.2020.9294881 - Kaeval, K., Jansen, S. L., Spinty, F., Grobe, K., Griesser, H., Fehenberger, T., Tikas, M., Jervan, G. Characterization of the optical spectrum as a service // Journal of Optical Communications and Networking (2022) vol. 14, 5, p. 398-410.
https://doi.org/10.1364/JOCN.454158 - Cardoso Medeiros, G., Gürsoy, C.C., Fieback, M., Jenihhin, M. et al. A DFT scheme to improve coverage of hard-to-detect faults in FinFET SRAMs // 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 9-13 March 2020, Grenoble, France : proceedings. : EDAA, 2020. p. 792-797.
https://doi.org/10.23919/DATE48585.2020.9116278 - Huijsduijnen, L.H., Hoogmoed, T., Keulers, G., Robal, T. et al. Bing-CSF-IDF+: a semantics-driven recommender system for news // New trends in databases and information systems : ADBIS 2020 short papers, Lyon, France, August 25–27, 2020 : proceedings. Cham : Springer International Publishing AG, 2020. p. 143−153. (Communications in computer and information science ; 1259).
https://doi.org/10.1007/978-3-030-54623-6_13 - Kaeval, K., Myyry, J., Grobe, K., Grießer, H., Jervan, G. Concatenated GSNR profiles for end-to-end performance estimations in disaggregated networks // 2022 Optical Fiber Communications Conference and Exhibition (OFC) : San Diego, California, USA, 6 – 10 March 2022 : proceedings. : IEEE eXpress Conference Publishing, 2022. 3 p.
https://ieeexplore.ieee.org/document/9748620/figures#figures - Ghasempouri, T., Raik, J., Paul, K., Reinbrecht, C., Hamdioui, S., Taouil, M. A security verification template to assess cache architecture vulnerabilities // 2020 23rd International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS), April 22nd – 24th 2020 Novi Sad, Serbia : Proceedings. Danvers : IEEE, 2020. art. 9095707, 6 p.
https://doi.org/10.1109/DDECS50862.2020.9095707 - Shahin, M., Heidar Iman, M., Kaushik, M., Sharma, R., Ghasempouri, T., Draheim, D. Exploring factors in a crossroad dataset using cluster-based association rule mining // Procedia Computer Science : The 13th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 5th International Conference on Emerging Data and Industry 4.0 (EDI40) (2022) vol. 201, p. 231-238.
https://doi.org/10.1016/j.procs.2022.03.032 - Forsberg, H., Linden, J., Hjorth, J., Manefjord, T., Daneshtalab, M. Challenges in using neural networks in safety-critical applications // AIAA/IEEE Digital Avionics Systems Conference - Proceedings,, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings. Danvers : IEEE, 2020. 7 p.
https://doi.org/10.1109/DASC50938.2020.9256519 - Mirsalari, S.A., Nazari, N., Ansarmohammadi, S.A., Sinaei, S., Salehi, M.E., Daneshtalab, M. ELC-ECG: efficient LSTM cell for ECG classification based on quantized architecture // 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings. Danvers : IEEE, 2021. 5 p.
https://doi.org/10.1109/ISCAS51556.2021.9401261 - Silva, F. A., Bagbaba, A. C., Ruospo, A., Jenihhin, M. et al. Special session : AutoSoC - a suite of open-source automotive SoC benchmarks // 2020 IEEE 38th VLSI TEST SYMPOSIUM (VTS) - VTS 2020 : proceedings. Danvers : IEEE, 2020. 9 p. : ill.
https://doi.org/10.1109/VTS48691.2020.9107599 - Singh, R., Bohra, M.K., Hemrajani, P., Kalla, A., Bhatt, D.P., Purohit, N., Daneshtalab, M. Review, analysis, and implementation of path selection strategies for 2D NoCs // IEEE Access (2022) Vol. 10, p. 129245 - 129268.
https://doi.org/10.1109/ACCESS.2022.3227460 - Rahbari, D., Alam, M. M., Le Moullec, Y., Jenihhin, M. Edge-to-Fog collaborative computing in a swarm of drones // Advances in Model and Data Engineering in the Digitalization Era : MEDI 2021 International Workshops: DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21–23, 2021 : proceedings. Cham : Springer, 2021. p. 78–87. (Communications in computer and information science ; 1481).
https://doi.org/10.1007/978-3-030-87657-9_6 - Oyeniran, A.S., Ubar, R., Jenihhin, M., Raik, J. High-Level Implementation-Independent Functional Software-Based Self-Test for RISC Processors // Journal of electronic testing : theory and applications (2020) vol. 36, p. 87-103.
https://doi.org/10.1007/s10836-020-05856-7 - Bendouch, M. M., Frasincar, F., Robal, T. Addressing scalability issues in semantics-driven recommender systems // WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence. : Association for Computing Machinery, 2021. p. 56-63.
https://doi.org/10.1145/3486622.3493963 - Zoljodi, A., Loni, M., Abadijou, S., Alibeigi, M., Daneshtalab, M. 3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detection // Artificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I. : Springer, 2022. p. 404-415. (Lecture notes in computer science ; 13529).
https://doi.org/10.1007/978-3-031-15919-0_34 - Aksoy, L., Nguyen, Q.-L., Almeida, F., Raik, J., Flottes, M.-L., Dupuis, S., Pagliarini, S. High-level intellectual property obfuscation via decoy constants // 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design (IOLTS) : Torino, Italy, 28-30 June 2021. : IEEE, 2021. p. 1-7.
https://doi.org/10.1109/IOLTS52814.2021.9486714 - Oyeniran, A.S., Ubar, R., Jenihhin, M., Raik, J. Implementation-independent functional test for transition delay faults in microprocessors // 2020 23rd Euromicro Conference on Digital System Design (DSD), 26-28 August 2020, Kranj, Slovenia. Danvers : IEEE, 2020. p. 646-650.
https://doi.org/10.1109/DSD51259.2020.00105 - Ruberg, P., Meinberg, E., Ellervee, P. Software parser and analyser for hardware performance estimations // 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic, 20-22 July 2022. : IEEE, 2022. p. 1-6.
https://doi.org/10.1109/ICECET55527.2022.9872951 - Reinsalu U., Robal T., Leier M. Floor selection proposal for automated travel with smart elevator // Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings. Cham : Springer International Publishing AG, 2020. (Communications in computer and information science ; 1243).
https://doi.org/10.1007/978-3-030-57672-1_4 - Kaeval, K., Slyne, F., Troia, S., Kenny, E., Pedreño-Manresa, J-J., Patri, Sai K., Grobe, K., Kilper, Daniel C., Ruffini, M., Jervan, G. Exploring service margins for optical spectrum services // Proceedings European Conference on Optical Communication (ECOC 2022), 18-22 September 2022, Basel, Switzerland. : Optica Publishing Group, IEEE, 2022. art. Mo3B.4, 4 p. (Technical Digest Series).
https://opg.optica.org/abstract.cfm?uri=ECEOC-2022-Mo3B.4 - Fallah, M.K., Mirhosseini, M., Fazlali, M., Daneshtalab, M Scalable parallel genetic algorithm for solving large integer linear programming models derived from behavioral synthesis // 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 2020. Danvers : IEEE, 2020. p. 390-394.
https://doi.org/10.1109/PDP50117.2020.00066 - Robal, T., Reinsalu, U., Leier, M. Towards personalized elevator travel with smart elevator system // Baltic journal of modern computing (2020) vol. 8, 4, p. 675-697.
https://doi.org/10.22364/bjmc.2020.8.4.12 - Geraeinejad, V., Sinaei, S., Modarressi, M., Daneshtalab, M. RoCo-NAS : robust and compact neural architecture search // 2021 International Joint Conference on Neural Networks (IJCNN) : proceedings. Danvers : IEEE, 2021. 8 l.
https://doi.org/10.1109/IJCNN52387.2021.9534460 - Shalabi, A., Ghasempouri, T., Ellervee, P., Raik, J. SCAAT: Secure cache alternative address table for mitigating cache logical side-channel attacks // 2020 23rd Euromicro Conference on Digital System Design (DSD), 26-28 August 2020, Kranj, Slovenia. Danvers : IEEE, 2020. art, 20035366, p. 213−217.
https://doi.org/10.1109/DSD51259.2020.00043 - Kaeval, K., Elbers, J.-P., Grobe, K., Tikas, M., Fehenberger, T., Grieβer, H. Jervan, G. Black-box assessment of optical spectrum services // 2021 Optical Fiber Communications Conference and Exhibition (OFC) : 6-10 June 2021 : San Francisco, CA, USA. : IEEE, 2021. 3 p.
https://ieeexplore.ieee.org/document/9489700 - Lai, X., Jenihhin, M., Selimis, G. et al. Early RTL analysis for SCA vulnerability in fuzzy extractors of memory-based PUF enabled devices // arXiv.org (2020) arXiv:2008.08409v1, 6 p. : ill.
https://doi.org/10.48550/arXiv.2008.08409 https://arxiv.org/abs/2008.08409 - Dadras, I., Ahmadilivani, M.H., Banerji, S., Raik, J., Abloo, A. An efficient analog convolutional neural network hardware accelerator enabled by a novel memoryless architecture for insect-sized robots // 2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST) : Bremen, Germany : 08-10 June 2022. : IEEE, 2022. p. 1-6.
https://doi.org/10.1109/MOCAST54814.2022.9837551 - Shalabi, A., Ghasempouri, T., Ellervee, P., Raik, J. CLD : an accurate, cost-effective and scalable run-time Cache Leakage Detector // 2021 24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS) : Vienna, Austria, 07-09 April 2021. : IEEE, 2021. p. 127-132 : ill.
https://doi.org/10.1109/DDECS52668.2021.9417071 - Kerner, M., Tammemäe, K., Raik, J., Hollstein, T. Novel architectures for contractive autoencoders with embedded learning // 2020 17th Biennial Baltic electronics conference, Tallinn, Estonia, October 6-8, 2020 : proceedings. Danvers : IEEE, 2020. 6 p. : ill.
https://doi.org/10.1109/BEC49624.2020.9277246 - Leoste, J., Kikkas, K., Tammemäe, K., Rebane, M., Laugasson, E., Hakk, K. Telepresence robots in higher education - the current state of research // Robots in education : RiE 2022. Cham : Springer, 2022. p. 124-134. (Lecture notes in networks and systems ; 515).
https://doi.org/10.1007/978-3-031-12848-6_12 - Jürimägi, L., Ubar, R., Jenihhin, M., Raik, J. Calculation of probabilistic testability measures for digital circuits with Structurally Synthesized BDDs // Microprocessors and microsystems (2020) vol. 77, art. 103117, 12 p.
https://doi.org/10.1016/j.micpro.2020.103117 - Heidari Iman, M., Raik, J., Jenihhin, M., Jervan, G., Ghasempouri, T. A methodology for automated mining of compact and accurate assertion sets // 2021 IEEE Nordic Circuits and Systems Conference (NorCAS) : Oslo, Norway, October 26-27. : IEEE, 2021. 7 p. : ill.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9599865 https://doi.org/10.1109/NorCAS53631.2021.9599865 - Bagbaba, A.C., Augusto da Silva, F., Sonza Reorda, M., Hamdioui, S., Jenihhin, M., Sauer, C. Automated identification of application-dependent safe faults in automotive systems-on-a-chips // Electronics (2022) vol. 11, 3, art. 319.
https://doi.org/10.3390/electronics11030319 - Balakrishnan, A., Medeiros, G.C., Gürsoy, C.C., Hamdioui, S., Jenihhin, M., Alexandrescu, D. Modeling soft-error reliability under variability // 2021 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT) : 6-8 Oct. 2021. : IEEE, 2021. p. 1-6.
https://doi.org/10.1109/DFT52944.2021.9568295 - Bagbaba, A.C., Jenihhin, M., Ubar, R., Sauer, C. Representing gate-level SET faults by multiple SEU faults on RT-level // 2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design (IOLTS), 13-15 July 2020 : proceedings. Danvers : IEEE, 2020. art. 19889351, 6 p. : ill.
https://doi.org/10.1109/IOLTS50870.2020.9159715 - Nosrati, N., Jenihhin, M., Navabi, Z. MLC: a machine learning based checker for soft error detection in embedded processors // Proceedings - 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design, IOLTS 2022. New York : IEEE, 2022. Code 183305.
https://doi.org/10.1109/IOLTS56730.2022.9897309 - Riazati, M., Daneshtalab, M., Sjodin, M., Lisper, B. DeepFlexiHLS : Deep Neural Network Flexible High-Level Synthesis Directive Generator // Riazati, M.; Daneshtalab, M.; Sjodin, M.; Lisper, B.. Piscataway : IEEE, 2022. p. 1-6.
https://doi.org/10.1109/NorCAS57515.2022.9934617 - Chaves, C.G., Sepulveda, J., Hollstein, T. Lightweight monitoring scheme for flooding DoS Attack detection in multi-tenant MPSoCs // 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings. Danvers : IEEE, 2021. 5 p.
https://doi.org/10.1109/ISCAS51556.2021.9401153 - Basov, K., Robal, T., Reinsalu, U., Leier, M. Elevator passenger in-cabin behaviour – a study on Smart-Elevator Platform // Digital Business and Intelligent Systems : 15th International Baltic Conference, Baltic DB&IS 2022, Riga, Latvia, July 4-6, 2022 : proceedings. Cham : Springer Nature, 2022. p. 3-18 : ill. (Communications in computer and information science ; 1598).
https://doi.org/10.1007/978-3-031-09850-5_1 - Bendouch, M.M., Frasincar, F., Robal, T. Enhancing semantics-driven recommender systems with visual features // Advanced Information Systems Engineering34th International Conference, CAiSE 2022, Leuven, Belgium, June 6-10, 2022, Proceedings. Cham : Springer, 2022. p. 443–459. (Lecture notes in computer science ; 13295).
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