Results 61 to 70 of about 5,483,449 (298)

Improving SC-FDMA Performance by Time Domain Equalization for UTRA LTE Uplink [PDF]

open access: yes, 2010
Single carrier frequency division multiple access (SC-FDMA) is used in the uplink of the next generation mobile communications standard Long Term Evolution (LTE).
Teich, Werner   +3 more
core  

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee   +9 more
wiley   +1 more source

Recurrent Convolutional Neural Networks for Discourse Compositionality

open access: yesCoRR, 2013
The compositionality of meaning extends beyond the single sentence. Just as words combine to form the meaning of sentences, so do sentences combine to form the meaning of paragraphs, dialogues and general discourse. We introduce both a sentence model and a discourse model corresponding to the two levels of compositionality.
Kalchbrenner, N, Blunsom, P
openaire   +4 more sources

Music Artist Classification with Convolutional Recurrent Neural Networks [PDF]

open access: yes2019 International Joint Conference on Neural Networks (IJCNN), 2019
Previous attempts at music artist classification use frame level audio features which summarize frequency content within short intervals of time. Comparatively, more recent music information retrieval tasks take advantage of temporal structure in audio spectrograms using deep convolutional and recurrent models. This paper revisits artist classification
Zain Nasrullah, Yue Zhao 0016
openaire   +4 more sources

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

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi   +11 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

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

Direct load control of thermostatically controlled loads based on sparse observations using deep reinforcement learning

open access: yesCSEE Journal of Power and Energy Systems, 2019
This paper considers a demand response agent that must find a near-optimal sequence of decisions based on sparse observations of its environment.
Frederik Ruelens   +4 more
doaj   +1 more source

Attention-Based SeriesNet: An Attention-Based Hybrid Neural Network Model for Conditional Time Series Forecasting

open access: yesInformation, 2020
Traditional time series forecasting techniques can not extract good enough sequence data features, and their accuracies are limited. The deep learning structure SeriesNet is an advanced method, which adopts hybrid neural networks, including dilated ...
Yepeng Cheng   +2 more
doaj   +1 more source

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