Results 61 to 70 of about 5,451,620 (296)

Long Short-Term Memory Recurrent Neural Network Approach for Approximating Roots (Eigen Values) of Transcendental Equation of Cantilever Beam

open access: yesApplied Sciences, 2023
In this study, the natural frequencies and roots (Eigenvalues) of the transcendental equation in a cantilever steel beam for transverse vibration with clamped free (CF) boundary conditions are estimated using a long short-term memory-recurrent neural ...
Madiha Bukhsh   +6 more
doaj   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

open access: yesAdvanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith   +4 more
wiley   +1 more source

Recurrent Neural Network Based Narrowband Channel Prediction

open access: yes, 2006
In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction.
Liu, W., Yang, L-L., Hanzo, L.
core   +1 more source

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks

open access: yesCoRR, 2017
Recurrent Neural Networks (RNNs) continue to show outstanding performance in sequence modeling tasks. However, training RNNs on long sequences often face challenges like slow inference, vanishing gradients and difficulty in capturing long term dependencies.
Campos Camunez, Victor   +4 more
openaire   +5 more sources

Detecting Spamming Reviews Using Long Short-term Memory Recurrent Neural Network Framework

open access: yes, 2018
Some unethical companies may hire workers (fake review spammers) to write reviews to influence consumers' purchasing decisions. However, it is not easy for consumers to distinguish real reviews posted by ordinary users or fake reviews post by fake review
Jia-Wei Liou   +4 more
core   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

open access: yesAdvanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao   +6 more
wiley   +1 more source

A delay-dependent LMI approach to dynamics analysis of discrete-time recurrent neural networks with time-varying delays [PDF]

open access: yes, 2007
This is the post print version of the article. The official published version can be obtained from the link below - Copyright 2007 Elsevier Ltd.In this Letter, the analysis problem for the existence and stability of periodic solutions is investigated for
Zidong Wang   +3 more
core   +1 more source

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

open access: yesAdvanced 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

Recurrent Neural Networks (RNNs): A gentle Introduction and Overview

open access: yesCoRR, 2019
State-of-the-art solutions in the areas of "Language Modelling & Generating Text", "Speech Recognition", "Generating Image Descriptions" or "Video Tagging" have been using Recurrent Neural Networks as the foundation for their approaches. Understanding the underlying concepts is therefore of tremendous importance if we want to keep up with recent or
openaire   +2 more sources

Volatile ZrO2 Antiferroelectric Tunnel Junctions for Rapid, Energy‐Efficient Physical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon   +13 more
wiley   +1 more source

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