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deep neural networks (keyword)
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1
book article
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
book article
2
book article
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
book article
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
book article EST
/
book article 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
book article EST
/
book article ENG
4
journal article
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
journal article
5
book article
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
book article
6
book article
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
book article
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
book article EST
/
book article 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
book article EST
/
book article ENG
Number of records 7, displaying
1 - 7
keyword
160
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 habits
24.
deep heat well
25.
deep inference
26.
deep layer
27.
deep learning
28.
deep learning (DL)
29.
deep learning classifier
30.
deep learning model
31.
deep learning network
32.
deep level
33.
deep level traps
34.
deep levels
35.
deep offshore
36.
deep packet inspection
37.
deep reinforcement learning
38.
Deep reinforcing learning SDN
39.
deep renovation
40.
deep understanding
41.
Deep-learning
42.
deep-learning (DL)
43.
embedded deep learning
44.
natural deep eutectic solvents
45.
nZEB deep energy renovation
46.
nZEB deep renovation
47.
Binarized Neural Network (BNN)
48.
cascaded forward neural network (CFNN)
49.
Convolutional Neural Network
50.
convolutional neural network (CNN)
51.
feedforward neural network (FFNN)
52.
Graph Convolutional Neural Network (GCN)
53.
GraphSAGE (Graph Based Neural Network)
54.
human neural progenitor cells
55.
neural activity
56.
neural architecture search
57.
neural controller
58.
neural development
59.
neural fuzzy modelling control
60.
neural network
61.
neural network architecture search
62.
neural network controller
63.
neural network predictive controller
64.
neural oscillations
65.
neural processing unit
66.
neural stimulation
67.
Radial Basis Function Neural Network (RBFNN)
68.
recurrent neural network language model
69.
spiking neural network (SNN)
70.
Ternary Neural Network
71.
adaptive networks
72.
ad-hoc sensor networks security
73.
automotive communication networks
74.
Bayesian Belief Networks
75.
Bayesian networks
76.
binary search networks
77.
binary sensor networks
78.
body area networks
79.
body sensor networks
80.
cellular networks
81.
communication networks
82.
complex networks
83.
computer networks
84.
content distribution networks
85.
content-addressable storage networks
86.
convolutional networks
87.
cross-border communication networks
88.
developmental networks
89.
diffusion networks
90.
distribution networks
91.
district heating networks
92.
Dynamic networks
93.
ecological networks
94.
economic networks
95.
electric power transmission networks
96.
electrical networks
97.
embedded networks/NoC
98.
gateways (computer networks)
99.
generative adversarial networks
100.
geodetic networks
101.
global production networks
102.
heating networks
103.
hypar-formed networks
104.
Impedance-source networks
105.
innovation networks
106.
IP networks
107.
iterative networks
108.
knowledge networks
109.
location-based social networks
110.
logistics networks
111.
low voltage networks
112.
low-voltage networks
113.
lumped parameter networks
114.
marketing networks
115.
metabolic networks and pathways
116.
mobile actuator-sensor networks (MAS-Net)
117.
NB-IoT networks
118.
networks
119.
networks coding
120.
neuro-fuzzy networks and guided missile
121.
non-terrestrial networks
122.
observational networks
123.
on-body networks (BANs)
124.
Online social networks
125.
Optical fiber networks
126.
optical fibre networks
127.
optical networks
128.
optimized routing approach for critical and emergency networks
129.
optimized routing approach for critical and emergency networks simulations
130.
packet switched networks
131.
partner networks
132.
phantom cellular networks
133.
private networks
134.
production networks
135.
Public safety networks
136.
public safety networks (PSN)
137.
public safety networks (PSNs)
138.
reconfigurable scan networks
139.
regional innovation networks
140.
scale-free networks
141.
sensor networks
142.
small district heating networks
143.
SME networks
144.
social networks
145.
social networks
146.
sorting networks
147.
supply networks
148.
transmission networks
149.
WBANs (wireless body area networks)
150.
wearable wireless networks
151.
wearable wireless networks (WWNs)
152.
weighted networks
153.
wireless ad hoc sensor networks
154.
Wireless Body Area Networks
155.
wireless body area networks (WBANs)
156.
wireless body-to-body networks (BBN)
157.
wireless sensor networks
158.
virtual networks
159.
5G networks
160.
5G networks
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