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deep neural networks (võtmesõna)

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Kirjeid leitud 19
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1

artikkel ajakirjas EST / artikkel ajakirjas ENG

AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN AcceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, MaksimIEEE transactions on device and materials reliability2024 / p. 66-75 : ill https://doi.org//10.1109/TDMR.2024.3523386 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
2

artikkel kogumikus EST / artikkel kogumikus ENG

AdAM: adaptive fault-tolerant approximate multiplier for edge DNN acceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Rafiq, Ahsan; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings2024 https://doi.org/10.1109/ETS61313.2024.10567161 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
3

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

artikkel kogumikus
4

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

artikkel kogumikus
Seotud publikatsioonid 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
5

artikkel kogumikus EST / artikkel kogumikus ENG

Data augmentation and teacher-student training for LF-MMI based robust speech recognitionUllah, Asad; Alumäe, TanelText, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings2018 / p. 403-410 https://doi.org/10.1007/978-3-030-00794-2_43 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
6

artikkel kogumikus

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, Björn2023 24th International Symposium on Quality Electronic Design (ISQED)2023 / 8 p. : ill https://doi.org/10.1109/ISQED57927.2023.10129353

artikkel kogumikus
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
7

artikkel kogumikus

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

artikkel kogumikus
8

artikkel kogumikus EST / artikkel kogumikus ENG

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

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
9

artikkel kogumikus EST / artikkel kogumikus ENG

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

artikkel kogumikus EST / artikkel kogumikus ENG
10

artikkel kogumikus EST / artikkel kogumikus ENG

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

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
11

artikkel kogumikus

Gate-level graph representation learning : a step towards the improved stuck-at faults analysisBalakrishnan, Aneesh; Alexandrescu, Dan; Jenihhin, Maksim; Lange, Thomas; Glorieux, MaximilienProceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 20212021 / p. 24-30 https://doi.org/10.1109/ISQED51717.2021.9424256

artikkel kogumikus
Seotud publikatsioonid 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
12

artikkel kogumikus EST / artikkel kogumikus ENG

Heterogeneous Approximation of DNN HW Accelerators based on Channels VulnerabilityCherezova, Natalia; Pappalardo, Salvatore; Taheri, Mahdi; Ahmadilivani, Mohammad Hasan; Deveautour, Bastien; Bosio, Alberto; Raik, Jaan; Jenihhin, Maksim2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)2024 / 4 p. : ill https://doi.org//10.1109/VLSI-SoC62099.2024.10767798 Conference proceedings at Scopus Article at Scopus

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
13

artikkel ajakirjas EST / artikkel ajakirjas ENG

Reliability-Aware Hyperparameter Optimization for ANN-to-SNN ConversionSharifian, Saeed; Taheri, Mahdi; Rashtchi, Vahid; Azarpeyvand, Ali; Herglotz, Christian; Jenihhin, MaksimWorks in Progress in Embedded Computing Journal WiPiEC Journal2025 / p. 1-7 https://doi.org/10.64552/wipiec.v11i1.85 https://www.wipiec.digitalheritage.me/index.php/wipiecjournal/article/view/85

artikkel ajakirjas EST / artikkel ajakirjas ENG
14

artikkel kogumikus EST / artikkel kogumikus ENG

RL-agent-based early-exit DNN architecture search frameworkTaheri, Mahdi; Patne, Parth; Cherezova, Natalia; Mahani, Ali; Herglotz, Christian; Jenihhin, Maksim2025 IEEE 28th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS 2025), Lyon, France, 5-7 May 20252025 / p. 145-148 https://doi.org/10.1109/DDECS63720.2025.11006795 Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
15

artikkel kogumikus

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 Article at Scopus Article at WOS

artikkel kogumikus
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
16

artikkel kogumikus EST / artikkel kogumikus ENG

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

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
17

artikkel kogumikus EST / artikkel kogumikus ENG

Special session: reliability assessment recipes for DNN acceleratorsAhmadilivani, Mohammad Hasan; Bosio, Alberto; Deveautour, Bastien; Dos Santos, Fernando Fernandes; Guerrero-Balaguera, Juan-David; Jenihhin, Maksim; Kritikakou, Angeliki; Sierra, Robert Limas; Raik, Jaan; Taheri, Mahdi42nd IEEE VLSI Test Symposium, VTS 2024 : proceedings2024 / 11 p. : ill https://doi.org/10.1109/VTS60656.2024.10538707 Conference proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG
Seotud publikatsioonid 1
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
18

artikkel ajakirjas EST / artikkel ajakirjas ENG

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

artikkel ajakirjas EST / artikkel ajakirjas ENG
Seotud publikatsioonid 2
- Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
- Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
19

artikkel kogumikus EST / artikkel kogumikus ENG

ZED-TTE: Zone embedding and deep neural network based travel time estimation approachOunoughi, Chahinez; Yeferny, Taoufik; Ben Yahia, Sadok2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 10 p https://doi.org/10.1109/IJCNN52387.2021.9533456 Conference Proceedings at Scopus Article at Scopus Article at WOS

artikkel kogumikus EST / artikkel kogumikus ENG

Kirjeid leitud 19, kuvan 1 - 19

1. deep neural networks
2. deep neural networks (DNNs)
3. deep convolutional neural network
4. deep neural network
5. deep neural network compression
6. artificial neural networks
7. artificial neural networks (ANN)
8. Biological neural networks
9. Complex-valued neural networks
10. constrained artificial neural networks
11. Constrained neural networks
12. convolutional neural networks
13. convolutional neural networks (CNNa)
14. Convolutional Neural Networks (CNNs)
15. Fuzzy neural networks
16. graph neural networks
17. multilayer neural networks
18. neural networks
19. neural-networks
20. pre-trained neural networks
21. recurrent neural networks
22. recurrent neural networks (RNN)
23. recurrent neural networks (RNNs)
24. Shallow neural networks
25. spiking neural networks
26. deep donor-deep acceptor pairs
27. deep brain stimulation
28. Deep defects
29. deep energy levels
30. deep energy renovation
31. deep eutectic solvents
32. deep fake
33. deep fake recognition
34. deep habits
35. deep heat well
36. deep inference
37. deep layer
38. deep learning
39. deep learning (DL)
40. deep learning classifier
41. deep learning method
42. deep learning methods
43. deep learning model
44. deep learning model quantization
45. deep learning network
46. deep level
47. deep level traps
48. deep levels
49. deep offshore
50. deep packet inspection
51. deep Q-network
52. deep reinforcement learning
53. Deep reinforcing learning SDN
54. deep renovation
55. deep understanding
56. deep UV emission
57. Deep-learning
58. deep-learning (DL)
59. deep-sea mining
60. double deep Q-network
61. embedded deep learning
62. Multi-agent deep reinforcement learning
63. natural deep eutectic solvents
64. naturally available deep eutectic solvents
65. nZEB deep energy renovation
66. nZEB deep renovation
67. artificial neural network
68. back propagation neural network
69. Binarized Neural Network (BNN)
70. cascaded forward neural network (CFNN)
71. Convolutional Neural Network
72. convolutional neural network (CNN)
73. feedforward neural network (FFNN)
74. Graph Convolutional Neural Network (GCN)
75. GraphSAGE (Graph Based Neural Network)
76. human neural progenitor cells
77. linear Delta robots neural network based model
78. LSTM neural network
79. neural activity
80. neural additive model
81. neural architecture search
82. neural controller
83. neural development
84. neural fuzzy modelling control
85. neural machine translation
86. neural net
87. neural net architecture
88. neural network
89. neural network architecture search
90. neural network controller
91. neural network modelling
92. neural network models
93. neural network positioning algorithms
94. neural network predictive controller
95. neural oscillations
96. neural processing unit
97. neural stimulation
98. Radial Basis Function Neural Network (RBFNN)
99. Recurrent Neural Network
100. recurrent neural network language model
101. Residual Neural Network
102. spiking neural network (SNN)
103. Ternary Neural Network
104. transformer-based neural network
105. adaptive networks
106. ad-hoc sensor networks security
107. automotive communication networks
108. Bayesian Belief Networks
109. Bayesian networks
110. binary search networks
111. binary sensor networks
112. body area networks
113. body sensor networks
114. cellular networks
115. chemical reaction networks
116. communication networks
117. communications engineering, networks
118. complex networks
119. computer networks
120. content distribution networks
121. content-addressable storage networks
122. convolutional networks
123. coupled networks
124. cross-border communication networks
125. decentralized content-addressable storage (DCAS) networks
126. developmental networks
127. diffusion networks
128. digital twin networks (DTNs)
129. distribution networks
130. district heating networks
131. Dynamic networks
132. Dynamics of networks
133. dynamics over networks
134. ecological networks
135. economic networks
136. electric power transmission networks
137. electrical distribution networks
138. electrical networks
139. embedded networks/NoC
140. gateways (computer networks)
141. generative adversarial networks
142. geodetic networks
143. global production networks
144. graph attention networks
145. graph convolutional networks
146. heating and cooling networks
147. heating networks
148. hybrid networks
149. hypar-formed networks
150. IaaS cloud networks
151. Impedance-source networks
152. innovation networks
153. IP networks
154. iterative networks
155. knowledge networks
156. location-based social networks
157. logistics networks
158. Long Short-Term Memory Networks (LSTMs)
159. low voltage networks
160. low-voltage networks
161. LSTM networks
162. lumped parameter networks
163. marketing networks
164. metabolic networks and pathways
165. mobile actuator-sensor networks (MAS-Net)
166. multilayer networks
167. NB-IoT networks
168. networks
169. networks coding
170. neuro-fuzzy networks and guided missile
171. non-terrestrial networks
172. observational networks
173. on-body networks (BANs)
174. Online social networks
175. Optical fiber networks
176. optical fibre networks
177. optical networks
178. optimized routing approach for critical and emergency networks
179. optimized routing approach for critical and emergency networks simulations
180. packet switched networks
181. partner networks
182. Passive networks
183. phantom cellular networks
184. private networks
185. production networks
186. protein networks
187. Public safety networks
188. public safety networks (PSN)
189. public safety networks (PSNs)
190. radio access networks
191. reconfigurable scan networks
192. regional innovation networks
193. scale-free networks
194. sensor networks
195. small district heating networks
196. SME networks
197. social networks
198. social networks
199. software defined networks (SDN)
200. sorting networks
201. supply networks
202. transmission networks
203. unreliable wireless networks
204. WBANs (wireless body area networks)
205. wearable wireless networks
206. wearable wireless networks (WWNs)
207. weighted networks
208. wireless ad hoc sensor networks
209. Wireless Body Area Networks
210. wireless body area networks (WBANs)
211. wireless body-to-body networks (BBN)
212. wireless networks
213. wireless sensor networks
214. wireless sensor networks (WSN)
215. virtual networks
216. 5G networks
217. 5G networks
218. 5G nomadic networks

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