data-driven and model-based approaches
A comparison of data-driven and model-based approaches to quantifying railway risk
... a data driven approach to assess passenger fatality risk. Based largely on historical UK data from 1967 onwards, he has used non-homogeneous Poisson processes with an exponentially decreasing ...
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Prediction of Remaining Useful Life for Lithium-Ionbattery with Multiple Health Indicators
... i.e. model-based approach, data-driven approach and hybrid approach ...[2].Model-based approaches adopt mathematical representation or failure physics model to ...
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Deep Intelligent Prediction Network: A Novel Deep Learning Based Prediction Model on Spatiotemporal Characteristics and Location Based Services for Big Data Driven Intelligent Transportation System
... big Data for intelligent transportation system has been employed for traffic management on dealing with dynamic traffic ...Big data analytics helps to cope with large amount of storage and computing ...
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Comparison of Two Data-Driven Streamflow Forecast Approaches in an Adaptive Optimal Reservoir Operation Model
... two data-driven inflow prediction methods on the performance of a proposed adaptive real-time optimum reservoir operation ...The model consists of three modules; a forecasting module, which predicts ...
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The impact of regular school closure on seasonal influenza epidemics: a data driven spatial transmission model for Belgium
... input data to parameterize our spatial modeling frame- ...Modeling approaches to study epidemics in settings where no data exist are often based on the assumption that mixing would reduce ...
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Brain activity detection by estimating the signal to noise ratio of fMRI time series using dynamic linear models
... a model, we are able to obtain samples from the posterior distribution of the signal-to-noise ratio for each voxel, which is used as a criterion for the detection of brain ...the model makes no assumptions ...
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Benefit-based consumer segmentation and performance evaluation of clustering approaches: An evidence of data-driven decision-making
... research model. In the first phase of data collection, a focus group and semi-structured interviews with 10 potential customers of a pub is conducted to identify benefits sought ...qualitative data ...
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Balancing data driven and rule based approaches in the context of a Multimodal Conversational System
... Language Model using in-domain corpus In order to evaluate the MATCH system, we collected a corpus of multimodal utterances for the MATCH domain in a laboratory setting from a set of sixteen first time users (8 ...
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Data-driven adaptive model-based predictive control with application in wastewater systems
... a data driven controller can be ...a data driven control design method has been around for few years, designing an adaptive subspace-based MBPC is still an open area of ...subspace- ...
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Development Of Computational Intelligence Algorithms For Modelling The Performance Of Humanin And Its Derivatives In HPLC Optimization Method Development
... different data driven approaches, consisting of classical linear model (Multilinear regression analysis (MLR)) and a non-linear model inform of Adaptive neurofuzzy inference system ...
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Forecasting Chikungunya spread in the Americas via data driven empirical approaches
... travel data to capture representative patterns of movement most relevant to the virus ’ spread in the Americas, at least at these initial ...immigration data from entry ports, but these data may not ...
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Model-Guided Data-Driven Optimization and Control for Internal Combustion Engine Systems
... used model-free friction and limp-home compensators to counter the nonlinear behavior of the ETB ...calibrated based on different engine operating ...a model-free parameter tuning method called ...
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Performance Analysis of Data–Driven and Model–Based Control Strategies Applied to a Thermal Unit Model
... well–known model–reality mismatch issue that can represent a limitation of the achievable performance of the proposed controller ...this model–reality mismatch, which can derive e.g. from the model ...
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A Meta-model for Diverse Data Sources in Business Intelligence
... XML is one of the most formats used and exchanged on Internet, its markup design allows structuring and representing in- formation in the form of a tree. On the other hand, XML is the standard format for the exchange and ...
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A data-driven model for valve stiction
... and model it, there is lack of a proper model which can be understood and related directly to the practical situation as observed in a real valve in the process ...life data, of the mechanism that ...
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Incorporating MDA to Design Business Intelligence Services by using SaaS Model of Cloud Computing
... In this paper, authors are suggesting an MDA based model driven approach to design business intelligence services by using SaaS model of cloud computing for a cloud based data warehouse.[r] ...
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COMPUTATIONALLY EFFICIENT SECURE AND PRIVACY PRESERVING STORAGE OF IMAGE DATA ON HYBRID CLOUD
... reviewed data-driven complex ...are based on the strict assumption that sensor data are ...The data-mining and time-series based methods recognize both concurrent and interleaved ...
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Dynamic key based data owner centric model for ensuring data security in cloud
... Storing data in the cloud can be considered quite attractive form of outsourcing focused on daily data management (Mell Despite this claim, but the real responsibility for managing the data falls ...
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Data-Driven Approaches for Circular Economy in Manufacturing for Digital Technologies: A Review of Current Research and Proposed Framework
... The concepts of Industry 4.0 can enable the Circular Economy by building visibility and intelligence into products and assets such as real-time condition of the assets, location and availability of assets, [33]. As 14.0 ...
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Data-Driven Model Based Charging Profile Prediction for Energy Storage Systems
... huge data on various power-consuming devices. The available data may be utilized for various purposes and prediction of load demand is an important application for the available ...data. ...
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