Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24687
Abstract: Neurodegenerative disorders, such as Alzheimer's disease (AD) and progressive forms of multiple sclerosis (MS), can affect the brainstem and are associated with atrophy that can be visualized by MRI. Anatomically accurate, large‐scale assessments of brainstem… read more here.
Keywords: segmentation; fully automated; multiple sclerosis; brainstem ... See more keywords
River Flooding Forecasting and Anomaly Detection Based on Deep Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034875
Abstract: Pluvial floods are rare and dangerous disasters that have a small duration but a destructive impact in most countries. In recent years, the deep learning model has played a significant role in operational flood management… read more here.
Keywords: gru; conv gru; model; gru model ... See more keywords
An Attention-Based Deep Sequential GRU Model for Sensor Drift Compensation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.3044388
Abstract: Sensor accuracy is vital for the reliability of sensing applications. However, sensor drift is a common problem that leads to inaccurate measurement readings. Owing to aging and environmental variation, chemical gas sensors in particular are… read more here.
Keywords: gru; attention; model; drift ... See more keywords
End-to-End Tactile Feedback Loop: From Soft Sensor Skin Over Deep GRU-Autoencoders to Tactile Stimulation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.3012951
Abstract: Tactile feedback is a key sensory channel that contributes to our ability to perform precise manipulations. In this regard, sensor skin provides robots with the sense of touch making them increasingly capable of dexterous object… read more here.
Keywords: end; gru; skin; feedback ... See more keywords
Hybrid Optimized GRU-ECNN Models for Gait Recognition with Wearable IOT Devices
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5422428
Abstract: With the advent of the Internet of Things (IoT), human-assistive technologies in healthcare services have reached the peak of their application in terms of diagnosis and treatment process. These devices must be aware of human… read more here.
Keywords: recognition; real time; model; gait recognition ... See more keywords
A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/8141530
Abstract: Cancer has been found as a heterogeneous disease with various subtypes and aims to destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis the distinct type of cancer… read more here.
Keywords: classification; model; cancer detection; gru ... See more keywords
Single and composite disturbance event recognition based on the DBN-GRU network in φ-OTDR.
Sign Up to like & getrecommendations! Published in 2022 at "Applied optics"
DOI: 10.1364/ao.477642
Abstract: An end-to-end deep learning model based on the deep belief network (DBN) and gated recurrent unit (GRU) is proposed to recognize the single disturbance events and composite disturbance events in the phase-sensitive optical time-domain reflectometer… read more here.
Keywords: disturbance; recognition; network; disturbance events ... See more keywords
81-GHz W-band 60-Gbps 64-QAM wireless transmission based on a dual-GRU equalizer.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.448845
Abstract: We propose a dual gated recurrent unit neural network based on nonlinear equalizer (dual-GRU NLE) for radio-over-fiber (ROF) communication systems. The dual equalization scheme is mainly based upon GRU algorithm, which can be trained via… read more here.
Keywords: equalizer; gbps qam; dual gru; gru ... See more keywords
Hybrid Deep Recurrent Neural Networks for Noise Reduction of MEMS-IMU with Static and Dynamic Conditions
Sign Up to like & getrecommendations! Published in 2021 at "Micromachines"
DOI: 10.3390/mi12020214
Abstract: Micro-electro-mechanical system inertial measurement unit (MEMS-IMU), a core component in many navigation systems, directly determines the accuracy of inertial navigation system; however, MEMS-IMU system is often affected by various factors such as environmental noise, electronic… read more here.
Keywords: mems imu; lstm gru; noise reduction; lstm ... See more keywords