Recurrent Neural Networks: An Embedded Computing Perspective

Recurrent Neural Networks: An Embedded Computing Perspective

23 July 2019

Tomas Nordstrom

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

10 / 10 papers shown

Title
FLP-XR: Future Location Prediction on Extreme Scale Maritime Data in Real-time George S. Theodoropoulos Andreas Patakis A. Tritsarolis Y. Theodoridis 44 0 0 10 Mar 2025
Reliable and Efficient Data Collection in UAV-based IoT Networks Poorvi Joshi Alakesh Kalita Gurusamy Mohan 23 1 0 09 Nov 2023
Deep Learning Approach for Aggressive Driving Behaviour Detection Farid Talebloo E. Mohammed B. Far 18 7 0 08 Nov 2021
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis Farid Talebloo E. Mohammed B. Far 33 1 0 18 Sep 2021
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 25 1 0 02 Aug 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 34 79 0 17 Sep 2020
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 59 82 0 02 Jul 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 515 0 09 Apr 2018
Delta Networks for Optimized Recurrent Network Computation Daniel Neil Junhaeng Lee T. Delbruck Shih-Chii Liu 31 66 0 16 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015