Abstract Waste-to-energy (WtE) is a process that generates electricity and heat from waste
treatment or processing into fuel sources. WtE can reduce greenhouse gas emissions …

Multi-criteria optimization techniques have been applied to predict the best alternative
solutions to meet the best results for all attributes. In the micro-machining processes, the …

Automatic sentence generation is an important problem in natural language processing that
has many applications, including language translation, summarization, and chatbots. Deep …

This study focuses on investigating energy-aware resources and designing an energy-
efficient cloud architecture. It aims to optimize the decentralization model and establish …

Artificial intelligence (AI) based disease identification has the potential to transform medicine
by utilizing machine learning algorithms and techniques to analyze large volumes of …

The internet of things (IoT) is an important data source for data science technology,
providing easy trends and patterns identification, enhanced automation, constant …

AI has had a substantial influence on image processing, allowing cutting-edge methods and
uses. The foundations of image processing are covered in this chapter, along with …

Eco-friendly environment concern contributes to the survival of life on earth. Monitoring
chemicals produced by growth requires a multidisciplinary scientific approach. Climate …

Remote monitoring technologies are required to remotely monitor patients. The internet of
things allows for remote monitoring of smart devices and apps, but sensors are used to track …

In this chapter, the integration of two rapidly evolving concepts for integration of robotics and
cloud computing has been illustrated. Intelligent robots should be preferred over low-cost …