Ravi – författare

In the face of rapid industrialisation in the last few decades, the tourism economy has blossomed into a major industry with positive impacts such as economic growth, infrastructure development, employment, and income generation. However, tourism brings negative environmental effects such as degradation of landscapes and habitats, increased vulnerability of avifauna and wildlife, and pollution leading to the decline of species. Environmental Impacts of Tourism in Developing Nations is a pivotal reference source that explores some of the critical challenges faced in the tourism economy particularly with regard to the impacts on the environment in developing nations. It also explores the impact tourism plays in the biophysical environment such as the issue of climate change. While highlighting topics such as environmental justice, ecosystems, and ecotourism, this book is ideally designed for academicians, policymakers, environmentalists, tourism professionals, and graduate-level students seeking current research on the environmental and economic impacts of tourism.

In the face of rapid industrialisation in the last few decades, the tourism economy has blossomed into a major industry with positive impacts such as economic growth, infrastructure development, employment, and income generation. However, tourism brings negative environmental effects such as degradation of landscapes and habitats, increased vulnerability of avifauna and wildlife, and pollution leading to the decline of species. Environmental Impacts of Tourism in Developing Nations is a pivotal reference source that explores some of the critical challenges faced in the tourism economy particularly with regard to the impacts on the environment in developing nations. It also explores the impact tourism plays in the biophysical environment such as the issue of climate change. While highlighting topics such as environmental justice, ecosystems, and ecotourism, this book is ideally designed for academicians, policymakers, environmentalists, tourism professionals, and graduate-level students seeking current research on the environmental and economic impacts of tourism.

Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.