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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine;

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Data-Driven Mining, Learning and Analytics for Secured Smart Cities

This book provides information on data-driven infrastructure design, analytical approaches, and technological solutions with case studies;

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Data-Driven Engineering Design

-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection;

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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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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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Data Science for Undergraduates

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Data Engineering and Applications

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and;

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Data Driven Approach Towards Disruptive Technologies

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science;

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Data-Driven Modeling, Filtering and Control

. In the era of big data, IoT and cyber-physical systems, this subject is of growing importance, as data-driven approaches are key enablers to;

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Advances in Visual Informatics

organized in the following topics: Visualization and Data Driven Technology; Engineering and Data Driven Innovation; Data Driven Societal Well-being;

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Quality of Information and Communications Technology

, evidence-based software engineering, process improvement and assessment, model-driven engineering & software maintenance, data science & services;

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Federal Data Science

, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012;

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A Framework for Model-Driven Scientific Workflow Engineering

Scientific workflows are one important means in the context of data-intensive science for reliable and efficient scientific data processing;

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Data-Driven Traffic Engineering

Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus;

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Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven;

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Data Driven e-Science

field of Grid Computing. Data Driven e-Science: Use Cases and Successful Applications of Distributed Computing Infrastructures (ISGC 2010;

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Data-driven Technology for Engineering System Health Management

This book introduces condition-based maintenance (CBM)data-driven prognostics and health management (PHM) in detail, first explaining the;

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Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis;

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Implementing Data-Driven Strategies in Smart Cities

Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven;

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Handbook of Dynamic Data Driven Applications Systems

The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the;

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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

submissions. The papers focus on the following topics: mathematical issues in data science; big data issues and applications; data quality and data;

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Fail Fast, Learn Faster - Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI

Explore why - now more than ever - the world is in a race to become data-driven, and how you can learn from examples of data-driven;

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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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