scholarly journals Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks

2020 ◽  
Author(s):  
Manish K. Singh ◽  
Sarthak Gupta ◽  
Vassilis Kekatos ◽  
Guido Cavraro ◽  
Andrey Bernstein
Keyword(s):  
Neural Networks ◽  
Power Distribution ◽  
Deep Neural Networks ◽  
Distribution Grids

scholarly journals Avaliação do Processo para Embarcar uma Rede Neural Baseada em YOLO Utilizando um Acelerador de Hardware Dedicado

2020 ◽  
Author(s):  
Isabel Costa ◽  
Elias Silva Jr ◽  
Antônio Rodrigues ◽  
Leandro Angeloni ◽  
Edmilson Dias
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Object Detection ◽  
Power Distribution ◽  
Deep Neural Networks ◽  
Aerial Images ◽  
Great Progress ◽  
Operational Networks

Object Detection is a challenging task in computer vision, but Deep Neural Networks (DNN) have made great progress in this area. This work presents the process and the results obtained in the attempts to embed a YOLO V3 model in a Neural Compute Engine, the Movidius Stick. Experiments were carried out with a Tensorflow model that is converted to Movidius (using OpenVINO) including an evaluation of the Movidius stick connected to a Raspberry Pi3. The application uses aerial images of power distribution towers captured by a drone. Although there are some fully operational networks for Neural Compute Engines, there are some difficulties in porting new networks to the platform, with gains in performance, but with losses in accuracy.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

2018 ◽  
Author(s):  
Daniel Povey ◽  
Gaofeng Cheng ◽  
Yiming Wang ◽  
Ke Li ◽  
Hainan Xu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Matrix Factorization ◽  
Deep Neural Networks ◽  
Low Rank ◽  
Rank Matrix ◽  
Low Rank Matrix
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