In 2004 Charlie Protzman created The BASICS Lean Implementation Model, which covers the full spectrum of what is needed to be effective and successful at implementing a Lean System. The reader is taken through a step by step approach developed over the last 15 years, in the use and understanding of Lean tools, principles, and...

Enzymes in Food Biotechnology: Production, Applications, and Future Prospects presents a comprehensive review of enzyme research and the potential impact of enzymes on the food sector. This valuable reference brings together novel sources and technologies regarding enzymes in food production, food processing, food...

Develop SVG functionality for use within websites quickly and natively, using basic tools such as HTML and CSS. This book is a project-oriented guide to creating and manipulating scalable vector graphics in the browser for websites or online applications, using little more than a text editor or free software, and the power of...

This book offers recommendations on the milling processes for the carbon fiber reinforced plastic CFRP/Al2024. Due to the anisotropic and non-homogeneous structure of CFRP and the ductile nature of aluminum, the machining of this material is very challenging and causes various types of damage, such as matrix cracking and thermal...

?This book describes an ECG processing architecture that guides biomedical SoC developers, from theory to implementation and testing. The authors provide complete coverage of the digital circuit implementation of an ultra-low power biomedical SoC,  comprised of a detailed description of an ECG processor implemented and...

Bioceramics: For Materials Science and Engineering provides a great working knowledge on the field of biomaterials, including the interaction of biomaterials with their biological surroundings. The book discussees the biomedical applications of materials, the standpoint of biomedical professionals, and a real-world assessment...

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...