While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial...

Modern engineering systems are complex and multi-faceted, and must be flexible, adaptable, and fully integrated with the supply chain and other stakeholders to deliver an effective level of performance. Therefore, this book aims to create an operational view and new understanding of modern system design, commissioning, operation,...

Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological...

• Deploy and manage highly scalable, containerized applications with Kubernetes
• Build high-availability Kubernetes clusters
• Secure your...

• Leverage practical examples to manage containers efficiently
• Integrate with orchestration tools such as Kubernetes for controlled deployments
• Learn to implement best practices on improving...

This book encompasses empirical evidences to understand the application of data analytical techniques in emerging contexts. Varied studies relating to manufacturing and services sectors including healthcare, banking, information technology, power, education sector etc. stresses upon the systematic approach followed in...

This book is the first to detail the Theta method of forecasting – one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting...

In this new edition of the Handbook of Signal Processing Systems, many of the chapters from the previous editions have been updated, and several new chapters have been added. The new contributions include chapters on signal processing methods for light field displays, throughput analysis of dataflow graphs, modeling for...