Results 31 to 40 of about 15,501 (203)
Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution
Advances in Meteorology, 2022 The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu +3 more
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Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis [PDF]
, 2014 The widespread use of multi-sensor technology and the emergence of big datasets has highlighted the limitations of standard flat-view matrix models and the necessity to move towards more versatile data analysis tools. We show that higher-order tensors (i.
Caiafa, C. +6 more
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JSES International, 2022 Background: Implant manufacturers typically offer several sizes of a humeral stem for shoulder arthroplasty so that time zero fixation can be achieved with the optimal size.
Manuel Urvoy, MEng +5 more
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Difference in response reliability predicted by STRFs in the cochlear nuclei of barn owls [PDF]
, 2011 The brainstem auditory pathway is obligatory for all aural information. Brainstem auditory neurons must encode the level and timing of sounds, as well as their time-dependent spectral properties, the fine structure and envelope, which are essential for ...
Jose L. Pena, Louisa J. Steinberg
core +3 more sources
Modeling of Removal of Chromium (VI) from Aqueous Solutions Using Artificial Neural Network [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2020 There is a need for knowledge, experience, laboratory, materials, and time to conduct chemical experiments. The results depend on the process and are also quite costly.
Abdullah Erdal Tümer +2 more
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Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives [PDF]
, 2017 Part 2 of this monograph builds on the introduction to tensor networks and their operations presented in Part 1. It focuses on tensor network models for super-compressed higher-order representation of data/parameters and related cost functions, while ...
Cichocki, A. +6 more
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Monthly Rainfall Estimation Using Data-Mining Process
Applied Computational Intelligence and Soft Computing, 2012 It is important to accurately estimate rainfall for effective use of water resources and optimal planning of water structures. For this purpose, the models were developed to estimate rainfall in Isparta using the data-mining process.
Özlem Terzi
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Ecological Indicators, 2022 Psidium guajava cv. Paluma (guava) has been emphasized as good indicator of phytotoxic tropospheric O3 levels in studies conducted under both controlled and field conditions.
Beatriz Barbosa de Souza +3 more
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PERCEPTUAL MAP TEACHING STRATEGY
Revista Digital de Investigación en Docencia Universitaria, 2016 This paper comprises the design of a strategy to teach perceptual mapping in a Brand Management course, adding a modeling technique in order to elaborate such maps.
Mario Chipoco
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Tensor Regression Networks [PDF]
, 2020 Convolutional neural networks typically consist of many convolutional layers followed by one or more fully connected layers. While convolutional layers map between high-order activation tensors, the fully connected layers operate on flattened activation ...
Anandkumar, Anima +5 more
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