Results 51 to 60 of about 80,914 (224)

Learning long-range spatial dependencies with horizontal gated-recurrent units

, 2018
Progress in deep learning has spawned great successes in many engineering applications. As a prime example, convolutional neural networks, a type of feedforward neural networks, are now approaching -- and sometimes even surpassing -- human accuracy on a ...
Kim, Junkyung, Linsley, Drew, Serre, Thomas, Veerabadran, Vijay   +3 more
core   +1 more source

Large-scale weakly supervised audio classification using gated convolutional neural network [PDF]

, 2017
In this paper, we present a gated convolutional neural network and a temporal attention-based localization method for audio classification, which won the 1st place in the large-scale weakly supervised sound event detection task of Detection and ...
Kong, Qiuqiang, Plumbley, Mark D., Wang, Wenwu, Xu, Yong   +3 more
core   +2 more sources

Multi-modal gated recurrent units for image description [PDF]

Multimedia Tools and Applications, 2018
Using a natural language sentence to describe the content of an image is a challenging but very important task. It is challenging because a description must not only capture objects contained in the image and the relationships among them, but also be relevant and grammatically correct.
Xuelong Li 0001, Aihong Yuan, Xiaoqiang Lu   +2 more
openaire   +2 more sources

Fault Detection and Diagnosis of a Photovoltaic System Based on Deep Learning Using the Combination of a Convolutional Neural Network (CNN) and Bidirectional Gated Recurrent Unit (Bi-GRU)

Sustainability
The meticulous monitoring and diagnosis of faults in photovoltaic (PV) systems enhances their reliability and facilitates a smooth transition to sustainable energy.
Ahmed Faris Amiri, S. Kichou, H. Oudira, A. Chouder, Santiago Silvestre   +4 more
semanticscholar   +1 more source

Gated Recurrent Neural Tensor Network

, 2017
Recurrent Neural Networks (RNNs), which are a powerful scheme for modeling temporal and sequential data need to capture long-term dependencies on datasets and represent them in hidden layers with a powerful model to capture more information from inputs ...
Adriani, Mirna, Manurung, Ruli, Nakamura, Satoshi, Sakti, Sakriani, Tjandra, Andros   +4 more
core   +1 more source

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks

, 2017
Clinical measurements that can be represented as time series constitute an important fraction of the electronic health records and are often both uncertain and incomplete.
Bianchi, Filippo Maria, Jenssen, Robert, Kampffmeyer, Michael, Mikalsen, Karl Øyvind, Soguero-Ruiz, Cristina, Strauman, Andreas Storvik   +5 more
core   +1 more source

Gated Recurrent Units for Blockage Mitigation in mmWave Wireless

Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless Access, 2023
Millimeter-Wave (mmWave) communication is susceptible to blockages, which can significantly reduce the signal strength at the receiver. Mitigating the negative impacts of blockages is a key requirement to ensure reliable and high throughput mmWave communication links.
Ahmed Almutairi, Alireza Keshavarz-Haddad, Ehsan Aryafar   +2 more
openaire   +2 more sources

Automatic Signature Verifier Using Gaussian Gated Recurrent Unit Neural Network

IET Biometrics, 2023
Handwritten signatures are one of the most extensively utilized biometrics used for authentication, and forgeries of this behavioral biometric are quite widespread.
Sameera Khan, Dileep Kumar Singh, Mahesh Singh, Desta Faltaso Mena   +3 more
doaj   +1 more source

Sentiment Analysis Using Stacked Gated Recurrent Unit for Arabic Tweets

IEEE Access, 2021
Over the last decade, the amount of Arabic content created on websites and social media has grown significantly. Opinions are shared openly and freely on social media, a process that provides a rich source for trend analyses.
Asma Al Wazrah, Sarah Alhumoud
doaj   +1 more source

Restricted Recurrent Neural Networks

, 2019
Recurrent Neural Network (RNN) and its variations such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), have become standard building blocks for learning online data of sequential nature in many research areas, including natural language ...
Diao, Enmao, Ding, Jie, Tarokh, Vahid
core   +1 more source