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deep neural networks (võtmesõna)
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1
artikkel kogumikus
Challenges in using neural networks in safety-critical applications
Forsberg, H.
;
Linden, Jan
;
Hjorth, J.
;
Manefjord, T.
;
Daneshtalab, Masoud
AIAA/IEEE Digital Avionics Systems Conference - Proceedings,
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings
2020
/
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 effects
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020
2020
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
artikkel kogumikus EST
/
artikkel kogumikus ENG
Data augmentation and teacher-student training for LF-MMI based robust speech recognition
Ullah, Asad
;
Alumäe, Tanel
Text, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings
2018
/
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 accelerators
Taheri, Mahdi
;
Riazati, Mohamad
;
Ahmadilivani, Mohammad Hasan
;
Jenihhin, Maksim
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Sjödin, Mikael
;
Lisper, Björn
arXiv.org
2023
/
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 FPGA
Riazati, Mohammad
;
Daneshtalab, Masoud
;
Sjodin, Mikael
;
Lisper, Bjorn
ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings
2020
/
4 p
https://doi.org/10.1109/ICECS49266.2020.9294881
artikkel kogumikus
6
artikkel kogumikus
Gate-level graph representation learning : a step towards the improved stuck-at faults analysis
Balakrishnan, Aneesh
;
Alexandrescu, Dan
;
Jenihhin, Maksim
;
Lange, Thomas
;
Glorieux, Maximilien
Proceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 2021
2021
/
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
7
artikkel kogumikus EST
/
artikkel kogumikus ENG
ZED-TTE: Zone embedding and deep neural network based travel time estimation approach
Ounoughi, Chahinez
;
Yeferny, Taoufik
;
Ben Yahia, Sadok
2021 International Joint Conference on Neural Networks (IJCNN) : proceedings
2021
/
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 7, kuvan
1 - 7
võtmesõna
164
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
8.
artificial neural networks (ANN)
9.
Constrained neural networks
10.
convolutional neural networks
11.
convolutional neural networks (CNNa)
12.
Convolutional Neural Networks (CNNs)
13.
Fuzzy neural networks
14.
neural networks
15.
pre-trained neural networks
16.
recurrent neural networks
17.
recurrent neural networks (RNN)
18.
deep donor-deep acceptor pairs
19.
deep brain stimulation
20.
Deep defects
21.
deep energy levels
22.
deep energy renovation
23.
deep eutectic solvents
24.
deep fake
25.
deep habits
26.
deep heat well
27.
deep inference
28.
deep layer
29.
deep learning
30.
deep learning (DL)
31.
deep learning classifier
32.
deep learning model
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.
artificial neural network
50.
Artificial neural network (ANN)
51.
Binarized Neural Network (BNN)
52.
cascaded forward neural network (CFNN)
53.
Convolutional Neural Network
54.
convolutional neural network (CNN)
55.
feedforward neural network (FFNN)
56.
Graph Convolutional Neural Network (GCN)
57.
GraphSAGE (Graph Based Neural Network)
58.
human neural progenitor cells
59.
neural activity
60.
neural architecture search
61.
neural controller
62.
neural development
63.
neural fuzzy modelling control
64.
neural network
65.
neural network architecture search
66.
neural network controller
67.
neural network predictive controller
68.
neural oscillations
69.
neural processing unit
70.
neural stimulation
71.
Radial Basis Function Neural Network (RBFNN)
72.
recurrent neural network language model
73.
spiking neural network (SNN)
74.
Ternary Neural Network
75.
adaptive networks
76.
ad-hoc sensor networks security
77.
automotive communication networks
78.
Bayesian Belief Networks
79.
Bayesian networks
80.
binary search networks
81.
binary sensor networks
82.
body area networks
83.
body sensor networks
84.
cellular networks
85.
communication networks
86.
complex networks
87.
computer networks
88.
content distribution networks
89.
content-addressable storage networks
90.
convolutional networks
91.
cross-border communication networks
92.
developmental networks
93.
diffusion networks
94.
distribution networks
95.
district heating networks
96.
Dynamic networks
97.
ecological networks
98.
economic networks
99.
electric power transmission networks
100.
electrical networks
101.
embedded networks/NoC
102.
gateways (computer networks)
103.
generative adversarial networks
104.
geodetic networks
105.
global production networks
106.
heating networks
107.
hypar-formed 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.
NB-IoT networks
122.
networks
123.
networks coding
124.
neuro-fuzzy networks and guided missile
125.
non-terrestrial networks
126.
observational networks
127.
on-body networks (BANs)
128.
Online social networks
129.
Optical fiber networks
130.
optical fibre networks
131.
optical networks
132.
optimized routing approach for critical and emergency networks
133.
optimized routing approach for critical and emergency networks simulations
134.
packet switched networks
135.
partner networks
136.
phantom cellular networks
137.
private networks
138.
production networks
139.
Public safety networks
140.
public safety networks (PSN)
141.
public safety networks (PSNs)
142.
reconfigurable scan networks
143.
regional innovation networks
144.
scale-free networks
145.
sensor networks
146.
small district heating networks
147.
SME networks
148.
social networks
149.
social networks
150.
sorting networks
151.
supply networks
152.
transmission networks
153.
WBANs (wireless body area networks)
154.
wearable wireless networks
155.
wearable wireless networks (WWNs)
156.
weighted networks
157.
wireless ad hoc sensor networks
158.
Wireless Body Area Networks
159.
wireless body area networks (WBANs)
160.
wireless body-to-body networks (BBN)
161.
wireless sensor networks
162.
virtual networks
163.
5G networks
164.
5G networks
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