Data-driven
Data Driven approach to topology change location in distribution networks using microPMUs
... Such paper was updated in [27], where the complete data for the 13 node test feeder is presented. A one-line diagram of such feeder is shown in Figure (5.13), this is used to test common features of distribution ...
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Real time robust economic dispatch with data driven uncertainty sets
... The increasing penetration of variable renewable generation is posing several chal- lenges in real-time operation due to its uncertain behavior. This work presented a novel design methodology to represent the potential ...
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TítuloIntegrative multi omics data driven approach for metastasis prediction in cancer
... omic data, covering all levels of genetic information from nucleotide sequencing to protein ...beginning, data were analyzed independently losing a great deal of essential information in the ...
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Data Driven Grasp Synthesis—A Survey
... attributes (e.g. curvature, contact area with the hand) around a candidate grasp. Other approaches take global characteristics (e.g. center of mass, bounding box) and their relation to a grasp configuration into account. ...
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Development of a model with Bayesian network for Data Driven Materials
... There is another method used to validate statistical models, called cross-validation. Actually hold-out is the simplest way of cross validation, but just with two different folds. The idea of cross validation is to split ...
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A data driven classification of 3D foot types by archetypal shapes based on landmarks
... The data set was collected from May 3rd 2006 to July 21st 2006 by IBV in the project ‘Estudio antropome´trico y morfolo´gico 3D de los pies de la poblacio´n española para su aplicacio´n al diseño de calzado y ...
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TítuloTowards an Autonomous Industry 4 0 Warehouse: A UAV and Blockchain Based System for Inventory and Traceability Applications in Big Data Driven Supply Chain Management
... ensuring data trustworthiness is a key issue in order to leverage Big Data analytics to supply chain efficiency and ...inventory data collected by UAVs, validate them, ensure their trustworthiness ...
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Data driven control of DC DC power converters
... a data-driven paradigm which consists in using periodic measurements to approximate a dynamic model, which is then subjected to a control ...entire data-driven ...
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Hierarchical data driven modelling of binary Black hole mergers
... of data quality studies when combining simulations from diverse sources, how detailed error budgets will be necessary for further improvements of these already highly accurate fits, and how this first detailed ...
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Income Risk, Income Mobility and Welfare
... income data are subject to measurement error and, second, a significant proportion of the observed income changes may be simply temporary in nature - resulting, typically, in an overestimation of the relevant ...
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Data‐driven numerical simulations of equatorial spread F in the Peruvian sector: 2. Autumnal equinox
... This paper reports on an ongoing numerical study of ESF outlined by Hysell et al. [2014]. The study involves making comprehensive measurements of the postsunset equatorial ionosphere on a campaign basis using instruments ...
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A Seamless Quality Driven Multi Hop Data Delivery Scheme for Video Streaming in Urban VANET Scenarios
... In this section, we analytically evaluate our integrated scheme. First, to evaluate the performance of the quality-driven routing scheme, we compare it to the traditional greedy geo- routing protocol [8] in terms ...
5
Sampling the μνSSM for displaced decays of the tau left sneutrino LSP at the LHC
... likelihood data-driven method, and paying special attention to reproduce the current experimental data on neutrino and Higgs physics, as well as flavor ...oscillation data are ...
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Data-driven analysis of point-by-point performance for male tennis player in Grand Slams
... ABSTRACT Tennis is an individual sport that requires a specialized training and match preparation for every player. Former studies in tennis have tried many approaches to analyze player’s performance using descriptive ...
13
Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score
... The deployment of discussed data-driven models in a CBM+ system results in important benefits in terms of fault detection and prediction. The monitoring and analysis of additional opera- tional parameters ...
11
Diseño del proceso de reconciliación táctica entre el modelo operativo y el proceso de planeación de ventas y operaciones a medianos plazo por medio de la metodología Demand Driven Adaptive Enterprise (DDAE)
... demand driven su objetivo principal es el flujo que cambia lo tradicional, que se basaba en un sistema push (empujar y promover), hacia un sistema pull (posicionar y halar), determina unos inventarios estratégicos ...
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Computational Methods for Identification of Vibrating Structures
... The scope of this paper is present some modal identification results obtained using state-of-the-art time domain system identification method (data-driven stochastic sub- space algorithms) applied to the ...
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Data-driven numerical simulations of equatorial spread F in the Peruvian sector 3: Solstice
... The simulations described in this paper incorporate empirical and physics-based models and are initialized and forced using plasma number density and drift data from Jicamarca. The simulations have been improved ...
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A comparative case study on Data Mining and Process Mining applied to Supply Chain Management
... model data mining ...prepare data in order to build specific data mining models based on created fields as initial ...detailed data construction features, and it does not enable to reuse the ...
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