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code implementation » model implementation (Expand Search), time implementation (Expand Search), pre implementation (Expand Search)
been implemented » parent implemented (Expand Search), model implemented (Expand Search), _ implemented (Expand Search)
python been » python based (Expand Search)
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1
Tools used in implementing the RNN models.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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2
WEDAP: A Python Package for Streamlined Plotting of Molecular Simulation Data
Published 2024“…Here, we present the WEDAP Python package for simplifying the analysis of data generated from either conventional MD simulations or the weighted ensemble (WE) path sampling method, as implemented in the widely used WESTPA software package. …”
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3
Dialogue Propositional Content Replacement (DPCR) code
Published 2025“…<p dir="ltr">This resource consists of a Python notebook with code that was implemented for a research project that developed a novel method for testing the components of theories of (dialogue) coherence through utterance substitution. …”
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4
Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python)
Published 2025“…<p dir="ltr">The custom code in Python programming language used to develop the <b>Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3.…”
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5
Average of F1-score across years.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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6
Research questions and main motivations.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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7
Data extraction template.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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8
Overview of systematic literature review.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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9
Study selection process.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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10
Average F-score across years.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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11
The final selected studies.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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12
Quality assessment criteria.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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13
Selected online databases.
Published 2024“…A deep investigation of these studies reveals that nine recurrent neural network techniques have been utilized for code clone detection, with a notable preference for LSTM techniques. …”
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14
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…The codes obtained were decoded through a Python program for wireless signal transmission, which can be beneficial for safety or any such autonomous communications involving low power consumption.…”
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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…The codes obtained were decoded through a Python program for wireless signal transmission, which can be beneficial for safety or any such autonomous communications involving low power consumption.…”
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16
Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…The codes obtained were decoded through a Python program for wireless signal transmission, which can be beneficial for safety or any such autonomous communications involving low power consumption.…”
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Multifunctional Lead-Free Halide Perovskite-Based Nanogenerator for Enhanced Energy Harvesting and Information-Encrypted Transmission
Published 2025“…The codes obtained were decoded through a Python program for wireless signal transmission, which can be beneficial for safety or any such autonomous communications involving low power consumption.…”
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18
Data_Sheet_1_Razorback, an Open Source Python Library for Robust Processing of Magnetotelluric Data.pdf
Published 2020“…This paper presents Razorback, an open source Python library, implemented to handle, manipulate, and combine time series of synchronous data. …”
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19
Slides: A better strategy for interpolating gravity and magnetic data
Published 2020“…</div><div><br></div><div>The source code developed for this study is based on the EQL implementation available in Harmonica (fatiando.org/harmonica), an open-source Python library for modelling and processing gravity and magnetic data. …”
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20
Data_Sheet_1_Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs.pdf
Published 2022“…These advances, however, are often not available to researchers interested in simulating spiking neural networks, but lacking the technical knowledge to write the necessary low-level code. Writing low-level code is not necessary when using the popular Brian simulator, which provides a framework to generate efficient CPU code from high-level model definitions in Python. …”