Results 241 to 250 of about 80,238 (283)

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

A Temperature Compensation Approach for Micro-Electro-Mechanical Systems Accelerometer Based on Gated Recurrent Unit-Attention and Robust Local Mean Decomposition-Sample Entropy-Time-Frequency Peak Filtering. [PDF]

Micromachines (Basel)
Cui R, Xu J, Huang B, Xu H, Peng M, Yang J, Zhang J, Gu Y, Chen D, Li H, Cao H.   +10 more
europepmc   +1 more source

Plant Classification Based on Gated Recurrent Unit [PDF]

, 2018
Classification of plants based on a multi-organ approach is very challenging due to the variability in shape and appearance in plant organs. Despite promising solutions built using convolutional neural network (CNN) for plant classification, the existing approaches do not consider the correspondence between different views captured of a plant. In fact,
Sue Han Lee, Yang Loong Chang, Chee Seng Chan, Joly Alexis, Pierre Bonnet, Herve Goeau   +5 more
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Classifying Anticancer Peptides Using Gated Recurrent Unit

2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2023
Anticancer peptides (ACPs) represent a class of peptidic compounds with promising antineoplastic properties. The utilization of ACPs in the realm of cancer prevention offers a potential alternative to conventional oncological interventions, primarily due to their heightened selectivity and improved safety profile.
Karakaya, Onur, Kilimci, Zeynep Hilal
openaire   +2 more sources

Image Captioning Using Gated Recurrent Units

2020
With the introduction of deep neural networks, there has been an increase in its usage due to its high-performance capabilities and its ability to deliver astounding results when classifying and predicting images, audio, and text. Image captioning allows machines to view images like how humans do and provide them with the knowledge and power to ...
Jagadish Nayak, Yatharth Kher, Sarthak Sethi   +2 more
openaire   +1 more source

Arabic Diacritization with Gated Recurrent Unit

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
Arabic and similar languages require the use of diacritics in order to determine the necessary parameters to pronounce and identify every part of the speech correctly. Therefore, when it comes to perform Natural Language Processing (NLP) over Arabic, diacritization is a crucial step.
Rajae Moumen, Raddouane Chiheb, Rdouan Faizi, Abdellatif El Afia   +3 more
openaire   +1 more source

Forecasting Stock Exchange Using Gated Recurrent Unit

2021 2nd International Conference on Innovative and Creative Information Technology (ICITech), 2021
Stock forecasting is an important thing in investing stock to find the next movement. The major aim of this research is to forecast the McDonald's stock from New York Stock Exchange using data covering the period from 6 January 2006 to 14 April 2021 on a daily, weekly, and monthly basis.
Yakobus Nobel H. Judo Prajitno, Djoko Budiyanto Setyohadi, Bernadectus Yudi Dwiandiyanta   +2 more
openaire   +1 more source

Transient Stability Assessment using Gated Recurrent Unit

2020 5th Asia Conference on Power and Electrical Engineering (ACPEE), 2020
Machine learning based transient stability analysis of power system mostly uses feedforward neural network, which does not consider the relationship between data and data in time domain. This paper presents a power system transient stability assessment based on gated recurrent unit.
Yuhao Zhou, Yude Yang
openaire   +1 more source

Gated Recurrent Units for Intrusion Detection

2019
As the arms race between the new kinds of attacks and new ways to detect and prevent those attacks continues, better and better algorithms have to be developed to stop the malicious agents dead in their tracks. In this paper, we evaluate the use of one of the youngest additions to the deep learning architectures, the Gated Recurrent Unit for its ...
Marek Pawlicki, Adam Marchewka, Michał Choraś, Rafał Kozik   +3 more
openaire   +1 more source

Quaternion Gated Recurrent Unit Neural Network

2019
Recurrent neural networks (RNN) are distinguishable form other classes of artificial neural networks by their ability to make nodal connections along temporal sequences. Gated Recurrent Unit (GRU) proposed by Cho et al have found use in several time dependent applications such as natural language processing (NLP), financial analysis and sensor fusion ...
Uche Onyekpe, Stratis Kanarachos, Christopoulos, Stavros   +2 more
openaire   +1 more source