Thandiwe Sithole – författare

The book seeks to cover the application of the principles of the circular economy within the context of the processing and waste management industry in sub-Saharan Africa. It includes topics related to the circular economy and the sustainable use of resources in the mining, process industry, and waste management sectors, and examines how some resources from these sectors, currently treated as “waste”, can be converted into secondary resources that can help drive economic development.

Features:

This book is aimed at researchers and graduate students in environmental and chemical engineering and waste treatment.

The book seeks to cover the application of the principles of the circular economy within the context of the processing and waste management industry in sub-Saharan Africa. It includes topics related to the circular economy and the sustainable use of resources in the mining, process industry, and waste management sectors, and examines how some resources from these sectors, currently treated as “waste”, can be converted into secondary resources that can help drive economic development.

Features:

This book is aimed at researchers and graduate students in environmental and chemical engineering and waste treatment.

Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs.

The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries.

The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.