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   Articles with "long short" as a keyword



Long‐ and Short‐Term Memory Characteristics Controlled by Electrical and Optical Stimulations in InZnO‐Based Synaptic Device for Reservoir Computing

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recommendations! Published in 2024 at "Advanced Electronic Materials"

DOI: 10.1002/aelm.202300911

Abstract: In this study, the resistive switching phenomenon and synaptic mimicry characteristics of an indium tin oxide (ITO)/indium zinc oxide (IZO)/Al2O3/TaN device are characterized. The insertion of a thin Al2O3 layer via atomic layer deposition improves… read more here.

Keywords: memory; long short; device; reservoir computing ... See more keywords

Thriving from Work Questionnaire: Dimensionality, reliability, and validity of the long and short form questionnaires.

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recommendations! 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.

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recommendations! 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

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recommendations! 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

Temperature prediction based on long short‐term memory convolutional neural network Bragg grating sensing

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recommendations! Published in 2024 at "Microwave and Optical Technology Letters"

DOI: 10.1002/mop.34214

Abstract: To address the constraints associated with conventional fitting techniques for temperature demodulation in the context of subway tunnel fires, a new method of demodulation grating sensing spectrum using long short‐term memory convolutional neural network (LSTM‐CNN)… read more here.

Keywords: temperature; grating sensing; term memory; long short ... See more keywords
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Estimation of Pharmacokinetic Parameters from DCE-MRI by Extracting Long and Short Time-dependent Features Using an LSTM Network.

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recommendations! 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

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recommendations! 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 long short-term memory model for sub-hourly temporal disaggregation of precipitation

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recommendations! Published in 2025 at "Stochastic Environmental Research and Risk Assessment"

DOI: 10.1007/s00477-025-02996-0

Abstract: High-resolution precipitation data is crucial for modern hydrological and building hygrothermal performance simulation models. In Australia, historical observations are inadequate, as half-hourly recordings only replaced daily observations at many stations from the early 2000s. Moreover,… read more here.

Keywords: term memory; long short; precipitation; model ... See more keywords

Recognizing salat activity using deep learning models via smartwatch sensors

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recommendations! Published in 2024 at "Neural Computing and Applications"

DOI: 10.1007/s00521-024-10195-1

Abstract: In this study, we focus on human activity recognition, particularly aiming to distinguish the activity of praying (salat) from other daily activities. To achieve this goal, we have created a new dataset named HAR-P (Human… read more here.

Keywords: term memory; long short; sensor; short term ... See more keywords

A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory

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recommendations! Published in 2025 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-025-02410-9

Abstract: Despite the growing research and development of botnet detection tools, an ever-increasing spread of botnets and their victims is being witnessed. Due to the frequent adaptation of botnets to evolving responses offered by host-based and… read more here.

Keywords: detection; botnet; convolutional neural; botnet detection ... See more keywords

A review on the long short-term memory model

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recommendations! 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