Results 41 to 50 of about 80,238 (283)
A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion
Information, 2021 Recurrent Neural Networks (RNNs) are known for their ability to learn relationships within temporal sequences. Gated Recurrent Unit (GRU) networks have found use in challenging time-dependent applications such as Natural Language Processing (NLP ...
Uche Onyekpe +3 more
doaj +1 more source
Two-Stream RNN/CNN for Action Recognition in 3D Videos
, 2018 The recognition of actions from video sequences has many applications in health monitoring, assisted living, surveillance, and smart homes. Despite advances in sensing, in particular related to 3D video, the methodologies to process the data are still ...
Ali, Haider +2 more
core +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
Multipath Detection from GNSS Observables Using Gated Recurrent Unit
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 2022 One of the most used Position, Navigation, and Timing (PNT) technology of the 21st century is Global Navigation Satellite Systems (GNSS). GNSS signals are affected by urban canyons that limit Line-Of-Sight (LOS) and increase position ambiguity. Smart cities are expected to adopt autonomous Unmanned Aerial Vehicles (UAV) operations for critical missions
Geragersian, Patrick +3 more
openaire +2 more sources
Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Learning to trade autonomously in stocks and shares: integrating uncertainty into trading strategies
Autonomous Intelligent SystemsMachine learning, a revolutionary and advanced technology, has been widely applied in the field of stock trading. However, training an autonomous trading strategy which can effectively balance risk and Return On Investment without human supervision in ...
Yuyang Li, Minghui Liwang, Li Li
doaj +1 more source
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 +3 more
doaj +1 more source
Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
Aerospace, 2023 Prognostics and health management is an engineering discipline that aims to support system operation while ensuring maximum safety and performance. Prognostics is a key step of this framework, focusing on developing effective maintenance policies based ...
Marcia L. Baptista, Helmut Prendinger
doaj +1 more source
Compressing Recurrent Neural Network with Tensor Train
, 2017 Recurrent Neural Network (RNN) are a popular choice for modeling temporal and sequential tasks and achieve many state-of-the-art performance on various complex problems.
Nakamura, Satoshi +2 more
core +1 more source