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Cross Reality and Data Science in Engineering

Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber Security, and M2M & Smart Objects;

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Advances in Data Science and Information Engineering

The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th;

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Data Science for Nano Image Analysis

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type;

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Data Science for Nano Image Analysis

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type;

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Mechanistic Data Science for STEM Education and Applications

principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features;

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Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary;

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Science and Engineering Programs

Based primarily on a conference, this book examines the need for interventions to increase the number of U.S. students, both males and;

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Intelligence Science and Big Data Engineering. Visual Data Engineering

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data;

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Practical Data Science with Python 3

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods;

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Practical Data Science with Python 3

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods;

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Communicating Science and Engineering Data in the Information Age

Data in the Information Age includes recommendations to improve NCSES's dissemination program and improve data user engagement. This report;

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Information Science and Electronic Engineering

topics, including: - Electronic Engineering - Information Science and Information Technologies - Computational Mathematics and Data Mining;

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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Foundations of Data Science for Engineering Problem Solving

problems. Machine learning and optimizing techniques provide strong insights into novice users. In the era of big data, there is a need to deal;

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Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering;

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

In today's digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data;

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The Analysis of Cross-Classified Categorical Data

A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency;

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Sharing Data and Models in Software Engineering

Data Science for Software Engineering: Sharing Data and Models presents guidance and procedures for reusing data and models between;

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Electronic Engineering and Information Science

and Information Technologies, Computational Mathematics and Data Mining, Image Processing and Computer Vision, Communication and Signal;

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Innovations in Computer Science and Engineering

research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy;

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Crosslinkable Polyethylene

, applications, early stage development, cross-linking techniques, recycling process, physical and chemical properties as well as the scope and future;

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Intelligence Science and Big Data Engineering. Big Data and Machine Learning

The two volumes LNCS 11935 and 11936 constitute the proceedings of the 9th International Conference on Intelligence Science and Big Data;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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Big Data and Differential Privacy

A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a;

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Information Modelling and Knowledge Bases XXV

continue to be important topics in those academic communities concerned with data handling and computer science. As the information itself becomes;

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Intelligent Science and Intelligent Data Engineering

This book constitutes the proceedings of the third Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data;

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Recent Progress in Computational Sciences and Engineering (2 vols)

Simulation and Computing, Grid-based Simulation and Computing, Fuzzy Logic, Hybrid Computational Methods, Data Mining, Information Retrieval and;

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