Results 51 to 60 of about 30,333,265 (134)
A Review of Visibility Graph Analysis
IEEE AccessA graph approach to time series data provides a new perspective for analyzing and comprehending the characteristics of the data. One common method of converting time series into a graph is through visibility graph analysis.
Hadis Azizi, Sadegh Sulaimany
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Modelos estocásticos orientados en el actor utilizando RSiena (III).
REDES: Revista Hispana para el Análisis de Redes Sociales, 2022 Este texto es el tercer guión de una serie de seis guiones escritos en el lenguaje y ambiente de programación R que conjuntamente constituyen la introducción al software RSiena para estimar modelos estocásticos orientados en el actor para redes ...
Alejandro Espinosa-Rada, Alvaro Uzaheta
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Low Power Wide Area Network Analysis: Can LoRa Scale? [PDF]
IEEE Wireless Communications Letters, 2016 Low power wide area (LPWA) networks are making spectacular progress from design, standardization, to commercialization. At this time of fast-paced adoption, it is of utmost importance to analyze how well these technologies will scale as the number of ...
Orestis Georgiou, Usman Raza
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Three-Channel Convolutional Neural Network for Polarimetric SAR Images Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Terrain classification is an important topic in polarimetric synthetic aperture radar (PolSAR) image processing and interpretation. A novel PolSAR classification method based on the three-channel convolutional neural network (Tc-CNN) is proposed and this
Wenqiang Hua, Wen Xie, Xiaomin Jin
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Bellaterra Journal of Teaching & Learning Language & Literature, 2017 Recent research on L2 interaction and interactional competencies shows that L2 learners deploy a great diversity of interactional resources and adapt their talk to context-sensitive differences in various institutional settings.
Ufuk Balaman, Olcay Sert
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PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network
Remote SensingDeep neural networks have achieved remarkable results in the field of polarimetric synthetic aperture radar (PolSAR) image classification. However, PolSAR is affected by speckle imaging, resulting in PolSAR images usually containing a large amount of ...
Wenqiang Hua +3 more
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A guide to null models for animal social network analysis
Methods in Ecology and Evolution, 2017 Null models are an important component of the social network analysis toolbox. However, their use in hypothesis testing is still not widespread. Furthermore, several different approaches for constructing null models exist, each with their relative ...
D. Farine
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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios
Frontiers in Plant ScienceCoffee is one of the most popular and widely used drinks worldwide. At present, how to judge the maturity of coffee fruit mainly depends on the visual inspection of human eyes, which is both time-consuming and labor-intensive.
Baofeng Ye +5 more
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Journal of Learning Analytics, 2016 This paper provides a tutorial on epistemic network analysis (ENA), a novel method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models.
D. Shaffer, W. Collier, A. Ruis
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Redes de parentesco en las familias de Santiago de Chile
REDES: Revista Hispana para el Análisis de Redes Sociales, 2018 El siguiente artículo busca caracterizar las familias chilenas a través del análisis de redes. Para ello, se aplican técnicas de análisis que combinan entrevistas cualitativas, análisis de redes ego-centradas y análisis narrativos de los individuos de ...
Herminia Gonzálvez Torralbo +2 more
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