Moonis Ali Khan – författare

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world.

This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.

This book focuses on untapped marine resources for production of biofuel, biogas, bio-fertilizers, nutraceuticals, pharmaceutical and other value-added products. The applications of marine biomass and microbes in human welfare, whether individual or synergistic use, for waste management, climate change mitigation, eco-restoration, and environment protection have also been covered. This book also looks at the solutions to the problem of fossil fuel, which is one of the major sources of environmental pollution and global warming. In this context, marine-based biorefinery represents a promising approach to mitigate climate change as bio-based products are good alternatives to fossil-based fuels and synthetic chemicals due to their capacity for net-negative carbon emissions.

This book is a reference material for researchers and scientists working in the field of biorefinery, pharmaceutical industry, bioremediation of contaminants and carbon neutrality for environmental safety.