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deep neural networks (võtmesõna)

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Kirjeid leitud 9
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ekspordi kõik päringu tulemused (9)
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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
2

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
3

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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
4

artikkel ajakirjas

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

artikkel ajakirjas
5

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

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6

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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

artikkel kogumikus EST / artikkel kogumikus ENG
7

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
8

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, MahdiProceedings 2023 IEEE 41st VLSI Test Symposium (VTS)2023 / 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
9

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 9, kuvan 1 - 9

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 (ANN)
7. Constrained neural networks
8. convolutional neural networks
9. convolutional neural networks (CNNa)
10. Convolutional Neural Networks (CNNs)
11. Fuzzy neural networks
12. neural networks
13. pre-trained neural networks
14. recurrent neural networks
15. recurrent neural networks (RNN)
16. deep donor-deep acceptor pairs
17. deep brain stimulation
18. Deep defects
19. deep energy levels
20. deep energy renovation
21. deep eutectic solvents
22. deep fake
23. deep fake recognition
24. deep habits
25. deep heat well
26. deep inference
27. deep layer
28. deep learning
29. deep learning (DL)
30. deep learning classifier
31. deep learning model
32. deep learning model quantization
33. deep learning network
34. deep level
35. deep level traps
36. deep levels
37. deep offshore
38. deep packet inspection
39. deep reinforcement learning
40. Deep reinforcing learning SDN
41. deep renovation
42. deep understanding
43. Deep-learning
44. deep-learning (DL)
45. embedded deep learning
46. natural deep eutectic solvents
47. nZEB deep energy renovation
48. nZEB deep renovation
49. Binarized Neural Network (BNN)
50. cascaded forward neural network (CFNN)
51. Convolutional Neural Network
52. convolutional neural network (CNN)
53. feedforward neural network (FFNN)
54. Graph Convolutional Neural Network (GCN)
55. GraphSAGE (Graph Based Neural Network)
56. human neural progenitor cells
57. neural activity
58. neural architecture search
59. neural controller
60. neural development
61. neural fuzzy modelling control
62. neural network
63. neural network architecture search
64. neural network controller
65. neural network predictive controller
66. neural oscillations
67. neural processing unit
68. neural stimulation
69. Radial Basis Function Neural Network (RBFNN)
70. recurrent neural network language model
71. spiking neural network (SNN)
72. Ternary Neural Network
73. adaptive networks
74. ad-hoc sensor networks security
75. automotive communication networks
76. Bayesian Belief Networks
77. Bayesian networks
78. binary search networks
79. binary sensor networks
80. body area networks
81. body sensor networks
82. cellular networks
83. communication networks
84. complex networks
85. computer networks
86. content distribution networks
87. content-addressable storage networks
88. convolutional networks
89. cross-border communication networks
90. developmental networks
91. diffusion networks
92. distribution networks
93. district heating networks
94. Dynamic networks
95. dynamics over networks
96. ecological networks
97. economic networks
98. electric power transmission networks
99. electrical networks
100. embedded networks/NoC
101. gateways (computer networks)
102. generative adversarial networks
103. geodetic networks
104. global production networks
105. heating networks
106. hypar-formed networks
107. IaaS cloud networks
108. Impedance-source networks
109. innovation networks
110. IP networks
111. iterative networks
112. knowledge networks
113. location-based social networks
114. logistics networks
115. low voltage networks
116. low-voltage networks
117. lumped parameter networks
118. marketing networks
119. metabolic networks and pathways
120. mobile actuator-sensor networks (MAS-Net)
121. multilayer networks
122. NB-IoT networks
123. networks
124. networks coding
125. neuro-fuzzy networks and guided missile
126. non-terrestrial networks
127. observational networks
128. on-body networks (BANs)
129. Online social networks
130. Optical fiber networks
131. optical fibre networks
132. optical networks
133. optimized routing approach for critical and emergency networks
134. optimized routing approach for critical and emergency networks simulations
135. packet switched networks
136. partner networks
137. phantom cellular networks
138. private networks
139. production networks
140. Public safety networks
141. public safety networks (PSN)
142. public safety networks (PSNs)
143. reconfigurable scan networks
144. regional innovation networks
145. scale-free networks
146. sensor networks
147. small district heating networks
148. SME networks
149. social networks
150. social networks
151. software defined networks (SDN)
152. sorting networks
153. supply networks
154. transmission networks
155. WBANs (wireless body area networks)
156. wearable wireless networks
157. wearable wireless networks (WWNs)
158. weighted networks
159. wireless ad hoc sensor networks
160. Wireless Body Area Networks
161. wireless body area networks (WBANs)
162. wireless body-to-body networks (BBN)
163. wireless sensor networks
164. virtual networks
165. 5G networks
166. 5G networks

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