A novel deep LSTM network for artifacts detection in microelectrode recordings
Sign Up to like & getrecommendations! Published in 2020 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2020.04.004
Abstract: Abstract Microelectrode recording (MER) signals are world-widely used for validating the planned trajectories in the procedure of deep brain stimulation (DBS) surgery to obtain accurate position of electrodes inside the brain structure. Besides, MER signals… read more here.
Keywords: lstm network; detection; mer signals;
Synchronization of Frequency Hopping by LSTM Network for Satellite Communication System
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2019.2936019
Abstract: In this letter, a novel method for synchronization of frequency hopping signal is proposed for tactical satellite communication system. Proposed method consists of serial search for coarse acquisition and use of long short-term memory (LSTM)… read more here.
Keywords: frequency hopping; communication system; synchronization frequency; lstm network ... See more keywords
Building Extraction in Multitemporal High-Resolution Remote Sensing Imagery Using a Multifeature LSTM Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3005018
Abstract: Inspired by recent promising developments by deep learning networks, this letter presents a novel approach based on a multifeature long short-term memory (LSTM) network with an optimal unit number for extracting buildings from multitemporal high-resolution… read more here.
Keywords: imagery; high resolution; network; multitemporal high ... See more keywords
Change Type Recognition for SAR Images Using Statistical Bidirectional LSTM Network With Few Labeled Samples
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3222794
Abstract: Change detection in synthetic aperture radar (SAR) images has garnered significant research interest. However, to date, only the change area can be obtained, which seriously restricts further development of SAR image applications. To solve this… read more here.
Keywords: type recognition; change; lstm network; sar images ... See more keywords
Interpretable Memristive LSTM Network Design for Probabilistic Residential Load Forecasting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3155443
Abstract: Memristive LSTM networks have been proven as a powerful Neuromorphic Computing Architecture (NCA) for various time series forecasting tasks and are recognized as the next generation of AI. However, a lack of model explainability makes… read more here.
Keywords: lstm; lstm network; design; interpretable memristive ... See more keywords
A Comparative Study of the Kalman Filter and the LSTM Network for the Remaining Useful Life Prediction of SOFC
Sign Up to like & getrecommendations! Published in 2023 at "Energies"
DOI: 10.3390/en16093628
Abstract: The solid oxide fuel cell (SOFC) system is complicated because the characteristics of gas, heat, and electricity are intricately coupled. During the operation of the system, problems such as frequent failures and a decrease in… read more here.
Keywords: system; network; sofc; lstm network ... See more keywords
Research on Signal Detection of OFDM Systems Based on the LSTM Network Optimized by the Improved Chameleon Swarm Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11091989
Abstract: In order to improve the signal detection capability of orthogonal frequency-division multiplexing systems, a signal detection method based on an improved LSTM network for OFDM systems is proposed. The LSTM network is optimized by the… read more here.
Keywords: network; signal detection; chameleon swarm; lstm network ... See more keywords