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Modeling and Application of Electromagnetic and Thermal Field in Electrical Engineering
Modeling and Application of Electromagnetic and Thermal Field in Electrical Engineering
Co-authored by an international research group with a long-standing cooperation, this book focuses on engineering-oriented electromagnetic and thermal field modeling and application. It presents important contributions, including advanced and efficient finite element analysis used in the solution of electromagnetic and thermal field problems for...
Build a Next-Generation Digital Workplace: Transform Legacy Intranets to Employee Experience Platforms
Build a Next-Generation Digital Workplace: Transform Legacy Intranets to Employee Experience Platforms

Evolve your traditional intranet platform into a next-generation digital workspace with this comprehensive book. Through in-depth coverage of strategies, methods, and case studies, you will learn how to design and build an employee experience platform (EXP) for improved employee productivity, engagement, and collaboration.

...

Surrogate Model-Based Engineering Design and Optimization (Springer Tracts in Mechanical Engineering)
Surrogate Model-Based Engineering Design and Optimization (Springer Tracts in Mechanical Engineering)

This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization.

Surrogate or metamodels are now...

Non-Linear Filters for Mammogram Enhancement: A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer (Studies in Computational Intelligence)
Non-Linear Filters for Mammogram Enhancement: A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer (Studies in Computational Intelligence)

This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in...

Ruby on Rails Tutorial (6th Edition) (Addison-Wesley Professional Ruby Series)
Ruby on Rails Tutorial (6th Edition) (Addison-Wesley Professional Ruby Series)
Used by sites as varied as Twitter, GitHub, Disney, and Airbnb, Ruby on Rails is one of the most popular frameworks for developing web applications, but it can be challenging to learn and use. Whether you’re new to web development or new only to Rails, Ruby on Rails™ Tutorial, Sixth Edition , is the...
Machine Learning and Data Mining in Aerospace Technology (Studies in Computational Intelligence)
Machine Learning and Data Mining in Aerospace Technology (Studies in Computational Intelligence)
This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the...
Network Programming with Rust: Build fast and resilient network servers and clients by leveraging Rust's memory-safety and concurrency features
Network Programming with Rust: Build fast and resilient network servers and clients by leveraging Rust's memory-safety and concurrency features
Learn to write servers and network clients using Rust
Key Features
  • Build a solid foundation in Rust while also mastering important network programming details
  • Leverage the power of a number of available libraries to perform network operations in Rust
  • Develop a fully...
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
Discover hidden relationships among the variables in your data, and learn how to exploit these relationships.  This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications.  All algorithms include an intuitive explanation of operation, essential...
Practical PHP 7, MySQL 8, and MariaDB Website Databases: A Simplified Approach to Developing Database-Driven Websites
Practical PHP 7, MySQL 8, and MariaDB Website Databases: A Simplified Approach to Developing Database-Driven Websites
Build interactive, database-driven websites with PHP 7, MySQL 8, and MariaDB. The focus of this book is on getting you up and running as quickly as possible with real-world applications. In the first two chapters, you will set up your development and testing environment, and then build your first PHP and MariaDB or...
Isomorphic Go: Learn how to build modern isomorphic web applications using the Go programming language, GopherJS, and the Isomorphic Go toolkit
Isomorphic Go: Learn how to build modern isomorphic web applications using the Go programming language, GopherJS, and the Isomorphic Go toolkit

Learning about isomorphic development in Go leads to a unified view of web and back-end development: It extends the remit of a server-side programming language to the browser.

Key Features

  • Learn how to build Isomorphic Go web applications
  • Neatly organize your isomorphic...
Java EE 8 Recipes: A Problem-Solution Approach
Java EE 8 Recipes: A Problem-Solution Approach

The Java platform is one of the most widely used platforms for application development in the world. The platform is so popular that there are several different flavors of Java that can be used for developing applications that run on different mediums. From development of desktop, mobile, or web applications and hardware operating systems,...

Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale
Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale

Build effective regression models in R to extract valuable insights from real data

Key Features

  • Implement different regression analysis techniques to solve common problems in data science - from data exploration to dealing with missing values
  • From Simple Linear Regression...
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