Convolutional recurrent neural network

Results 101 to 110 of about 5,483,449 (298)

Artificial neural network with dynamic synapse model [PDF]

Известия высших учебных заведений: Прикладная нелинейная динамика
The purpose of this study is to develop and investigate a new short-term memory model based on an artificial neural network without short-term memory effect and a dynamic short-term memory model with astrocytic modulation. Methods. The artificial neural
Zimin, Ilya Anatolevich +2 more
doaj +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source

RETRACTED: ICN intrusion detection method based on GA-CNN.

PLoS ONE
The current industrial control system network is susceptible to data theft attacks such as SQL injection in practical applications, resulting in data loss or leakage of enterprise secrets.
Jianpeng Zhang, Xueli Wang
doaj +1 more source

Fully Convolutional Sequence Recognition Network for Water Meter Number Reading

IEEE Access, 2019
One of the most widely used frameworks for image-based sequence recognition is the convolutional recurrent neural network, which uses a convolutional neural network (CNN) for feature extraction and a recurrent neural network (RNN) for sequence modeling ...
Fan Yang +4 more
doaj +1 more source

Continuum Robots in Surgery: From Engineering Design to Clinical Practice

Advanced Robotics Research, EarlyView.
The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source

Deep spatiotemporal human activity recognition using an optimized 3D CNN model [PDF]

PeerJ Computer Science
Surveillance video systems have become indispensable in modern societies for monitoring human activity and detecting abnormal behavior across both public and private environments.
Hamada I. AbdulWakel +5 more
doaj +2 more sources

Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG. [PDF]

Front Psychiatry, 2023
Yan W +5 more
europepmc +1 more source

deep learning
convolutional neural network
convolutional neural network cnn

recurrent neural network
machine learning
recurrent neural network rnn

recurrent neural networks
electronic computers
computer science