Results 271 to 280 of about 30,189 (295)

Recurrent Neural Networks (RNN) or Sequence Models

2019
In this chapter, we will explore and discuss the basic architecture of sequence models (Recurrent Neural Networks). In particular, we will Build and train sequence models, and a commonly used variant known as Long Short-Term Memory Models (LSTMs). Apply sequence models to Natural Language Processing (NLP) problems, including text synthesis.
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Malware Attacks Detection in IoT Using Recurrent Neural Network (RNN)

Intelligent Automation & Soft Computing
IoT (Internet of Things) devices are being used more and more in a variety of businesses and for a variety of tasks, such as environmental data collection in both civilian and military situations. They are a desirable attack target for malware intended to infect specific IoT devices due to their growing use in a variety of applications and their ...
Abeer Abdullah Alsadhan, Abdullah A. Al‐Atawi, Hanen Karamti, Abid Jameel, Islam Zada, Tan N. Nguyen   +5 more
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Recurrent Neural Networks (RNNs): Capturing the Dynamics of Sequences

International ...
Bhuyan, Bikram Pratim, Ramdane-Cherif, Amar, Singh, Thipendra, Tomar, Ravi   +3 more
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Recurrent Neural Networks (RNNs) for Predictive Analytics

2023
Phillip A. Laplante, Satish Mahadevan Srinivasan   +1 more
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Recurrent Neural Networks (RNN)

2023
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RNNS- Recurrent Neural Networks

2023
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Forecasting Demand Using Recurrent Neural Networks (RNN)

This study explores the pervasive role of recurrent neural networks (RNNs) in demand forecasting, emphasizing their adaptability across diverse industries. Drawing on comprehensive reviews by Johnson and methodological advancements outlined by Brownlee, the research validates RNN effectiveness beyond sector-specific applications.
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From CP-FFT to CP-RNN: Recurrent neural network surrogate model of crystal plasticity

International Journal of Plasticity, 2022
Colin Bonatti, Dirk Mohr
exaly  

TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization

IEEE Transactions on Industrial Electronics, 2021
Xuelong Li, Xiaoqiang Lu
exaly  

CS-RNN: efficient training of recurrent neural networks with continuous skips

Neural Computing and Applications, 2022
Tianyu Chen, Sheng Li 0011, Jun Yan 0007
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