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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 EST
/
artikkel kogumikus ENG
FARMUR: fair adversarial retraining to mitigate unfairness in robustness
Mousavi, Seyed Ali
;
Mousavi, Hamid
;
Daneshtalab, Masoud
Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings
2023
/
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 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
8
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 8, kuvan
1 - 8
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 (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 network
33.
deep level
34.
deep level traps
35.
deep levels
36.
deep offshore
37.
deep packet inspection
38.
deep reinforcement learning
39.
Deep reinforcing learning SDN
40.
deep renovation
41.
deep understanding
42.
Deep-learning
43.
deep-learning (DL)
44.
embedded deep learning
45.
natural deep eutectic solvents
46.
nZEB deep energy renovation
47.
nZEB deep renovation
48.
Binarized Neural Network (BNN)
49.
cascaded forward neural network (CFNN)
50.
Convolutional Neural Network
51.
convolutional neural network (CNN)
52.
feedforward neural network (FFNN)
53.
Graph Convolutional Neural Network (GCN)
54.
GraphSAGE (Graph Based Neural Network)
55.
human neural progenitor cells
56.
neural activity
57.
neural architecture search
58.
neural controller
59.
neural development
60.
neural fuzzy modelling control
61.
neural network
62.
neural network architecture search
63.
neural network controller
64.
neural network predictive controller
65.
neural oscillations
66.
neural processing unit
67.
neural stimulation
68.
Radial Basis Function Neural Network (RBFNN)
69.
recurrent neural network language model
70.
spiking neural network (SNN)
71.
Ternary Neural Network
72.
adaptive networks
73.
ad-hoc sensor networks security
74.
automotive communication networks
75.
Bayesian Belief Networks
76.
Bayesian networks
77.
binary search networks
78.
binary sensor networks
79.
body area networks
80.
body sensor networks
81.
cellular networks
82.
communication networks
83.
complex networks
84.
computer networks
85.
content distribution networks
86.
content-addressable storage networks
87.
convolutional networks
88.
cross-border communication networks
89.
developmental networks
90.
diffusion networks
91.
distribution networks
92.
district heating networks
93.
Dynamic networks
94.
dynamics over networks
95.
ecological networks
96.
economic networks
97.
electric power transmission networks
98.
electrical networks
99.
embedded networks/NoC
100.
gateways (computer networks)
101.
generative adversarial networks
102.
geodetic networks
103.
global production networks
104.
heating networks
105.
hypar-formed networks
106.
IaaS cloud networks
107.
Impedance-source networks
108.
innovation networks
109.
IP networks
110.
iterative networks
111.
knowledge networks
112.
location-based social networks
113.
logistics networks
114.
low voltage networks
115.
low-voltage networks
116.
lumped parameter networks
117.
marketing networks
118.
metabolic networks and pathways
119.
mobile actuator-sensor networks (MAS-Net)
120.
multilayer networks
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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