Results 51 to 60 of about 80,238 (283)

Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation

Neural Computation
Abstract In recent years, using orthogonal matrices has been shown to be a promising approach to improving recurrent neural networks (RNNs) with training, stability, and convergence, particularly to control gradients. While gated recurrent unit (GRU) and long short-term memory (LSTM) architectures address the vanishing gradient problem ...
Zadorozhnyy, Vasily, Mucllari, Edison, Pospisil, Cole, Nguyen, Duc, Ye, Qiang   +4 more
openaire   +3 more sources

Reduced vascular leakage correlates with breast carcinoma T regulatory cell infiltration but not with metastatic propensity

Molecular Oncology, EarlyView.
A mouse model for vascular normalization and a human breast cancer cohort were studied to understand the relationship between vascular leakage and tumor immune suppression. For this, endothelial and immune cell RNAseq, staining for vascular function, and immune cell profiling were employed.
Liqun He, Chiara Testini, Neda Hekmati, Altea Bonello, Aglaia Schiza, Emmanuel Nwadozi, Mia Phillipson, Carina Strell, Michael Welsh   +8 more
wiley   +1 more source

Convolutional Gated Recurrent Unit–Recurrent Neural Network for State-of-Charge Estimation of Lithium-Ion Batteries

IEEE Access, 2019
For most deep learning practitioners, recurrent networks are often used for sequence modeling. However, recent researches indicate that convolutional architectures may be used to optimize recurrent networks on some machine translation tasks.
Zhelin Huang, Fangfang Yang, Fan Xu, Xiangbao Song, Kwok-Leung Tsui   +4 more
doaj   +1 more source

A Modified Gated Recurrent Unit Approach for Epileptic Electroencephalography Classification

Journal of ICT, 2023
Epilepsy is one of the most severe non-communicable brain disorders associated with sudden attacks. Electroencephalography (EEG), a non-invasive technique, records brain activities, and these recordings are routinely used for the clinical evaluation of ...
Vinod Prakash, Dharmender Kumar
doaj   +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

Fuzzy sets complement-based gated recurrent unit

, 2021
Grant PID2019-108392GB-I00 funded by MCIN/AEI/10.13039/501100011033 and by Tracasa Instrumental and the Immigration Policy and Justice Department of the Government of Navarre.
Ferrero Jaurrieta, Mikel, Pereira Dimuro, Graçaliz, Takáč, Zdenko, Santiago, Regivan, Fernández Fernández, Francisco Javier, Bustince Sola, Humberto   +5 more
openaire   +3 more sources

Light Gated Recurrent Units for Speech Recognition [PDF]

IEEE Transactions on Emerging Topics in Computational Intelligence, 2018
A field that has directly benefited from the recent advances in deep learning is Automatic Speech Recognition (ASR). Despite the great achievements of the past decades, however, a natural and robust human-machine speech interaction still appears to be out of reach, especially in challenging environments characterized by significant noise and ...
Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, Yoshua Bengio   +3 more
openaire   +3 more sources

Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting

Molecular Oncology, EarlyView.
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia, Noelia Moares, Wenjie Yi‐He, Rosa Luna‐Espejo, Ricardo Fernandez‐Cisnal, Javier Ocaña‐Cuesta, Juan P. Muñoz‐Miranda, Antonio Gabucio, Cecilia M. Fernandez‐Ponce, Francisco Garcia‐Cozar   +9 more
wiley   +1 more source

Deep Learning-Based Sentiment Analysis Using Gated Recurrent Unit

Andalasian International Journal of Applied Science, Engineering, and Technology
In today’s volatile financial markets, investor sentiment plays a crucial role in shaping market dynamics and influencing investment decisions. Traditional analytical methods often fail to capture the subtle emotional cues embedded in vast amounts of ...
Najeem Olawale Adelakun, Mariam Adenike Lasisi   +1 more
doaj   +1 more source

Minimum Temperature Forecasting Using Gated Recurrent Unit

International Journal of Environment and Climate Change, 2023
Aim: To forecast the monthly average Minimum Temperature (ºC) in Coimbatore district. Study Design: Gated Recurrent Unit (GRU) has been employed to forecast the Minimum Temperature. Place and Duration of Study: Time series data for average month wise Minimum Temperature from January 1982 to September 2022 was collected from Agro Climate ...
Hilma Subair, R. Pangayar Selvi, R. Vasanthi, S. Kokilavani, V. Karthick   +4 more
openaire   +1 more source