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New Trends in Model and Data Engineering

This book constitutes the thoroughly refereed papers of the workshops held at the 9th International Conference on New Trends in Model and;

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Model and Data Engineering

This book constitutes the refereed proceedings of the 6th International Conference on Model and Data Engineering, MEDI 2016, held;

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Data Engineering and Applications

more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data;

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Data Engineering and Applications

more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data;

Vergelijkbare producten zoals Data Engineering and Applications

Data Engineering and Applications

more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data;

Vergelijkbare producten zoals Data Engineering and Applications

Data Engineering and Applications

more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data;

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Deep Learning for Internet of Things Infrastructure

in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to;

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Model and Data Engineering

This book constitutes the refereed proceedings of the 5th International Conference on Model and Data Engineering, MEDI 2015, held in Rhodes;

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Current Trends in Web Engineering

conference and explore new trends on core topics of Web engineering and provide an open discussion space combining solid theory work with practical;

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Model and Data Engineering

This book constitutes the refereed proceedings of the 9th International Conference on Model and Data Engineering, MEDI 2019, held;

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Deep Learning and Missing Data in Engineering Systems

data from reduced dimensions by the use of deep autoencoder neural networks. They illustrate new models diagrammatically, report their findings;

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Data Assimilation

Data assimilation is considered a key component of numerical ocean model development and new data acquisition strategies. The basic concept;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Big Data in Engineering Applications

This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It;

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Sofsem 2019: Theory and Practice of Computer Science: 45th International Conference on Current Trends in Theory and Practice of Computer Science, Nový

carefully reviewed and selected from 92 submissions. They presented new research results in the theory and practice of computer science in the each;

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Model-Driven and Software Product Line Engineering

Software Product Lines and Model-Driven Engineering, which have separate success stories in industry, and focuses on the practical combination;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Trends in Food Engineering

rheology, and the correlations between physicochemical and sensory data. The second section, on advances in food processing, includes recent;

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Trends in Food Engineering

rheology, and the correlations between physicochemical and sensory data. The second section, on advances in food processing, includes recent;

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Nonlinear Regression Modeling for Engineering Applications

improvement. Alternately, when the model fits the data, our understanding is sufficient and confidently functional for engineering applications. This;

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Applied Probabilistic Calculus for Financial Engineering

illustrated for various examples. This clear and concise book covers financial engineering, using R in data analysis, and univariate, bivariate, and;

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Model and Data Engineering

This book constitutes the refereed proceedings of the 10th International Conference on Model and Data Engineering, MEDI 2021, held;

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Web Semantics

and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable;

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Test Data Engineering

This is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the;

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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;

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Recent Trends in Information and Communication Technology

research topics, including advances in big data analysis techniques and applications; mobile networks; applications and usability; reliable;

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Neural Networks for Applied Sciences and Engineering

forecasting Illustrates all stages of model development and interpretation of results, including data preprocessing, data dimensionality reduction;

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