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Recurrent Neural Networks: An Embedded Computing Perspective
v1v2v3 (latest)

Recurrent Neural Networks: An Embedded Computing Perspective

IEEE Access (IEEE Access), 2019
23 July 2019
Nesma M. Rezk
M. Purnaprajna
Tomas Nordstrom
Z. Ul-Abdin
ArXiv (abs)PDFHTML

Papers citing "Recurrent Neural Networks: An Embedded Computing Perspective"

10 / 10 papers shown
An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals
An Unsupervised Deep Explainable AI Framework for Localization of Concurrent Replay Attacks in Nuclear Reactor Signals
Konstantinos Vasili
Zachery T. Dahm
William Richards
AAML
310
2
0
05 Aug 2025
FLP-XR: Future Location Prediction on Extreme Scale Maritime Data in Real-time
FLP-XR: Future Location Prediction on Extreme Scale Maritime Data in Real-time
George S. Theodoropoulos
Andreas Patakis
A. Tritsarolis
Y. Theodoridis
316
1
0
10 Mar 2025
Anomaly Detection in Complex Dynamical Systems: A Systematic Framework Using Embedding Theory and Physics-Inspired Consistency
Anomaly Detection in Complex Dynamical Systems: A Systematic Framework Using Embedding Theory and Physics-Inspired Consistency
Michael Somma
Thomas Gallien
Branka Stojanovic
AI4CE
356
2
0
26 Feb 2025
Reliable and Efficient Data Collection in UAV-based IoT Networks
Reliable and Efficient Data Collection in UAV-based IoT Networks
Poorvi Joshi
Alakesh Kalita
Gurusamy Mohan
176
27
0
09 Nov 2023
In-flight Novelty Detection with Convolutional Neural Networks
In-flight Novelty Detection with Convolutional Neural Networks
A. Hartwell
Felipe J. Montana
William R. Jacobs
V. Kadirkamanathan
A. Mills
Tom S. Clark
174
13
0
07 Dec 2021
Deep Learning Approach for Aggressive Driving Behaviour Detection
Deep Learning Approach for Aggressive Driving Behaviour Detection
Farid Talebloo
E. Mohammed
B. Far
239
10
0
08 Nov 2021
Dynamic and Systematic Survey of Deep Learning Approaches for Driving
  Behavior Analysis
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis
Farid Talebloo
E. Mohammed
B. Far
122
1
0
18 Sep 2021
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural
  Networks
MOHAQ: Multi-Objective Hardware-Aware Quantization of Recurrent Neural Networks
Nesma M. Rezk
Tomas Nordstrom
D. Stathis
Z. Ul-Abdin
E. Aksoy
A. Hemani
MQ
325
3
0
02 Aug 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
1.0K
94
0
17 Sep 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
329
100
0
02 Jul 2020
1
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