Thriving from Work Questionnaire: Dimensionality, reliability, and validity of the long and short form questionnaires.
Sign Up to like & getrecommendations! Published in 2023 at "American journal of industrial medicine"
DOI: 10.1002/ajim.23465
Abstract: INTRODUCTION Thriving from Work is defined as the state of positive mental, physical, and social functioning in which workers' experiences of their work and working conditions enable them to thrive in their overall lives, contributing… read more here.
Keywords: thriving work; form; reliability; work ... See more keywords
The long and the short of it: Mechanisms of synchronous and compensatory dynamics across temporal scales.
Sign Up to like & getrecommendations! Published in 2022 at "Ecology"
DOI: 10.1002/ecy.3650
Abstract: Synchronous dynamics (fluctuations that occur in unison) are universal phenomena with widespread implications for ecological stability. Synchronous dynamics can amplify the destabilizing effect of environmental variability on ecosystem functions such as productivity, whereas the inverse,… read more here.
Keywords: short mechanisms; synchronous compensatory; compensatory dynamics; compensatory ... See more keywords
Factorization‐based active contour segmentation and pelican optimization‐based modified bidirectional long short‐term memory for ovarian tumor detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22796
Abstract: This paper proposes a novel three‐dimensional convolution neural network‐based modified bidirectional long short‐term memory with pelican optimization (3D CNN based MBiLSTM with PO) algorithm for multiclass ovarian tumor detection. Initially, the International Collaboration on Cancer… read more here.
Keywords: based modified; segmentation; long short; modified bidirectional ... See more keywords
Estimation of Pharmacokinetic Parameters from DCE-MRI by Extracting Long and Short Time-dependent Features Using an LSTM Network.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14222
Abstract: PURPOSE T1 -weighted dynamic contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) is typically quantified by least squares (LS) fitting to a pharmacokinetic (PK) model to yield parameters of microvasculature and perfusion in normal and disease tissues. Such… read more here.
Keywords: dce mri; network; long short; time ... See more keywords
T1D‐weighted ihMT imaging – Part II. Investigating the long‐ and short‐T1D components correlation with myelin content. Comparison with R1 and the macromolecular proton fraction
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29140
Abstract: To investigate the long‐ and short‐T1D components correlation with myelin content using inhomogeneous magnetization transfer (ihMT) high‐pass and band‐pass T1D‐filters and to compare ihMT, R1, and the macromolecular proton fraction (MPF) for myelin specific imaging. read more here.
Keywords: correlation myelin; short t1d; t1d; t1d components ... See more keywords
A review on the long short-term memory model
Sign Up to like & getrecommendations! Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09838-1
Abstract: Long short-term memory (LSTM) has transformed both machine learning and neurocomputing fields. According to several online sources, this model has improved Google’s speech recognition, greatly improved machine translations on Google Translate, and the answers of… read more here.
Keywords: term memory; short term; review; long short ... See more keywords
Hierarchical attention based long short-term memory for Chinese lyric generation
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1206-2
Abstract: Automating the process of lyric generation should face the challenge of being meaningful and semantically related to a scenario. Traditional keyword or template based lyric generation systems always ignore the patterns and styles of lyricists,… read more here.
Keywords: term memory; long short; generation; lyric generation ... See more keywords
Two robust long short-term memory frameworks for trading stocks
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02249-x
Abstract: This paper aims to find a superior strategy for the daily trading on a portfolio of stocks for which traditional trading strategies perform poorly due to the low frequency of new information. The experimental work… read more here.
Keywords: term memory; trading; short term; long short ... See more keywords
Global Asymptotic Stability and Stabilization of Long Short-Term Memory Neural Networks with Constant Weights and Biases
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-018-1447-6
Abstract: In this paper, a global asymptotic stability condition for Long Short-Term Memory neural networks is presented. Since this condition is formulated in terms of the networks’ weight matrices and biases that are essentially control variables,… read more here.
Keywords: term memory; memory neural; long short; asymptotic stability ... See more keywords
Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM)
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08580-3
Abstract: Twitter sentiment analysis is an automated process of analyzing the text data which determining the opinion or feeling of public tweets from the various fields. For example, in marketing field, political field huge number of… read more here.
Keywords: long short; neural network; twitter; sentiment analysis ... See more keywords
Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment
Sign Up to like & getrecommendations! Published in 2021 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-021-12877-y
Abstract: One of the most critical parameters in concrete design is compressive strength. As the compressive strength of concrete is correctly measured, time and cost can be decreased. Concrete strength is relatively resilient to impacts on… read more here.
Keywords: strength; long short; deep learning; concrete compressive ... See more keywords