This handbook describes and discusses the features that make up the petroleum refining industry. It begins with a description of the crude oils and their nature, and continues with the saleable products from the refining processes, with a review of the environmental impact. There is a complete overview of the processes that make up the refinery with a brief history of those processes. It also describes design technique, operation, and, in the case of catalytic units, the chemistry of the reaction routes. These discussions are supported by calculation procedures and examples, sufficient to enable input to modern computer simulation packages.

Digital Signal Processing A Practical Guide for Engineers and Scientists is immensely practical and thorough book has been written for engineers and scientists in a wide variety of fields, with the goal of explaining DSP techniques while avoiding the barriers of abstract theory and detailed mathematics, enabling readers to put the powerful tools of DSP to work in their research and designs.

This new textbook in signals and systems provides a pedagogically rich approach to what can commonly be a mathematically dry subject.

A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning.

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision.

Boost your NLP models with strong deep learning architectures such as CNNs and RNNs. Who this book is for Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.

The book Learning Processing, Second Edition, is a friendly start up guide to Processing, a free, open source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner.

"This book should find a place on any Propellerhead's bookshelf, between Parallax's Propeller Manual and its Programming and Customizing the Multicore Propeller volumes." Make: 24

Introduction to the basic concepts of digital signals and digital signal image processing. Fu-ri-e analysis of changes in digital signal processing. Introduction and analysis of algorithms commonly used in digital signal processing and its applications in digital image processing.