Results 51 to 60 of about 1,858,056 (293)

Discrete-time recurrent neural networks with time-varying delays: Exponential stability analysis [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 LtdThis Letter is concerned with the analysis problem of exponential stability for a class of discrete-time ...
Liu, Y, Liu, X, Wang, Z, Serrano, A
core   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
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

A recurrent neural network‐based rotor displacement estimation method for eight‐pole active magnetic bearing

open access: yesIET Electric Power Applications
Active magnetic bearing (AMB) is a key technology in high‐speed rotating machines for rotor suspension, where the displacement sensors play a crucial role in detecting and controlling the rotor position. However, the traditional displacement sensors have
Longyuan Fan   +4 more
doaj   +1 more source

Development and Evaluation of a Novel Investment Decision System in Cryptocurrency Market

open access: yesApplied Artificial Intelligence, 2021
More and more people are entering the cryptocurrency market after Bitcoin (BTC) soared to nearly USD 20,000 in 2017. To promote the development of information technology and cryptocurrency marketing, various computerized systems integrating information ...
Dai-Lun Chiang   +6 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Research on radar clutter recognition method based on LSTM

open access: yesThe Journal of Engineering, 2019
Considering the increasingly complex electromagnetic environment of radar detection, it still contains a lot of clutter after target detection, which is a challenging problem for subsequent target tracking.
Li Song, Wang Shengli, Xie Dingbao
doaj   +1 more source

Efficient physics‐based recurrent neural network model for radio wave propagation in tunnels at 2.4 GHz

open access: yesElectronics Letters, 2023
The vector parabolic equation (VPE) method has been widely applied to the modelling of radio wave propagation in tunnel environments. However, dense spatial discretizations are generally required for VPE simulations to achieve acceptable accuracy.
Hao Qin, Siyi Huang, Xingqi Zhang
doaj   +1 more source

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

open access: yesFEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens   +8 more
wiley   +1 more source

A lecture transcription system combining neural network acoustic and language models [PDF]

open access: yes, 2013
This paper presents a new system for automatic transcription of lectures. The system combines a number of novel features, including deep neural network acoustic models using multi-level adaptive networks to incorporate out-of-domain information, and ...
Hori, C   +6 more
core  

Home - About - Disclaimer - Privacy