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Python (Lenguaje de programación)
60
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9
Aprendizaje automático (Inteligencia artificial)
5
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5
Raspberry Pi (Computadora)
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3361por Quadrini, Michela“…The algorithms, implemented in Python, work in polynomial time. We test our approach on a set of 16S ribosomal RNAs with inhibitors of Thermus thermophilus, and we quantify the structural effect of the inhibitors.…”
Publicado 2021
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3362“…Unfortunately, few studies compare the relationship and objective performance of the plethora of existing metrics, in turn hindering reproducibility, replicability, consistency, and clarity in the field. Using the NeuroKit2 Python software, we computed a list of 112 (predominantly used) complexity indices on signals varying in their characteristics (noise, length and frequency spectrum). …”
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3363“…The application adopted Android Studio open platform for its wide access to smartphones, and Python was used to design a graphical user interface with fast data processing. …”
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3364“…The proposed method is implemented by programming with Python, and the effectiveness of the method is verified by a case study. …”
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3365“…A statistical analysis using Python programming showed that the humidity ranged from 56% to 78%, and COVID-19 cases increased from 634 to 3546. …”
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3366por Vićentić, Teodora, Rašljić Rafajilović, Milena, Ilić, Stefan D., Koteska, Bojana, Madevska Bogdanova, Ana, Pašti, Igor A., Lehocki, Fedor, Spasenović, Marko“…The HeartPy Python toolkit for analysis of noisy signals from heart rate measurements is an excellent tool to use in conjunction with novel wearable sensors. …”
Publicado 2022
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3367por Yuan, Shi-Shi, Gao, Dong, Xie, Xue-Qin, Ma, Cai-Yi, Su, Wei, Zhang, Zhao-Yue, Zheng, Yan, Ding, Hui“…Based on the model, a Python package named IBPred was built with the source code which can be accessed at https://github.com/ShishiYuan/IBPred.…”
Publicado 2022
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3368por Ansaloni, Federico, Gualandi, Nicolò, Esposito, Mauro, Gustincich, Stefano, Sanges, Remo“…AVAILABILITY AND IMPLEMENTATION: The tool is implemented in python3, distributed under the GNU General Public License (GPL) and available on Github at https://github.com/fansalon/TEspeX (Zenodo URL: https://doi.org/10.5281/zenodo.6800331). …”
Publicado 2022
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3369“…Experiments were carried out with the data set of Book-Crossing Data set through Python. The experimental results show that the improved collaborative filtering algorithm has a significantly improvement in the accuracy and quality of book recommendation.…”
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3370“…The device effectively monitors temperature rise, change in foam height as well as changes in the mass during the reaction. Three Python scripts are also presented. The first logs raw data during the reaction. …”
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3371“…Based on the social support theory, this study explores the impact of three dimensions of social support from physicians—information diagnosticity, source credibility, and emotional support—on patient consultations in OHCs and their moderating effect on patients’ compliments. We utilized Python Spiders to retrieve data from Haodf.com and gathered 2,982 physician reports. …”
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3372“…The discussed system is implemented using the Python tool, in which the AELS system ensures 98.51% learning efficiency compared to classroom learning.…”
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3373por Naranjo-Ortiz, Miguel A, Molina, Manu, Fuentes, Diego, Mixão, Verónica, Gabaldón, Toni“…FINDINGS: Here we present Karyon, a Python-based toolkit that uses raw sequencing data and de novo genome assembly to assess several parameters and generate informative plots to assist in the identification of nonchanonical genomic traits. …”
Publicado 2022
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3374por Jiang, Runxuan, Gogineni, Tarun, Kammeraad, Joshua, He, Yifei, Tewari, Ambuj, Zimmerman, Paul M.“…Conformer‐RL is an open‐source Python package for applying deep reinforcement learning (RL) to the task of generating a diverse set of low‐energy conformations for a single molecule. …”
Publicado 2022
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3375“…In this model, we collected data released by 17 well-known American technology media websites from July 2019 to July 2020 using web crawling with Python. We combine graph-based neural network learning with active learning as the research method in this paper. …”
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3376“…In this paper, a high-precision ultrasonic flowmeter based on the cross-correlation method is designed, and the commercial finite element software COMSOL Multiphysics 5.6 is used to simulate the propagation process of ultrasonic waves during flow measurement, and the implementation process of the cross-correlation algorithm is simulated by Python language. The flowmeter adopts the cross-correlation algorithm to improve the measurement accuracy of ultrasonic time of flight and adopts the method of combining FPGA and an embedded microprocessor to improve operation efficiency. …”
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3377“…The central difference approximation of the tangent is validated so that derivative-free calculations for black-box constitutive models are possible. The proposed Python-coded single-point calculator is shown to be capable of quickly building, testing, and validating constitutive models with sophisticated or implicit structures, thus boosting the development of novel constitutive models for advanced solid materials.…”
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3378“…DISA (Discriminative and Informative Subspace Assessment), a Python software package, is proposed to evaluate patterns in the presence of numerical outcomes using well-established measures together with a novel principle able to statistically assess the correlation gain of the subspace against the overall space. …”
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3379“…We reported a novel module-assembly calculation method named Dooerafa, which included constructing the meta-structures by a grafting method based on the crucial and the limited 2D NMR correlations, ring-contraction strategy based on mechanic force field and quantum chemical theory, and self-assemble calculation in Python programming for shaping up the structural candidates along with DFT-GIAO calculation. …”
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3380“…Here, we describe the Python package PhaMMseqs, which uses MMseqs2 for pham assembly, and we evaluate the key parameters for optimal pham assembly of sequence- and functionally related proteins. …”
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