Bücher von Sanjeev Sharma

This volume analyzes ecological and socio-economic risks due to climate change in the Himalayan mountain ecosystems, communities, and proposes adaptation strategies and sustainability practices. In order to better understand the potential actions required to improve natural resource conservation and the development of mountain people's livelihoods. The authors discuss the current status of local knowledge system on various environmental aspects of conservation and sustainable use of mountain resources in the Himalaya. The book addresses the institutional capacities, gaps, and priority areas of capacity building to strengthen policies and governance in regard to climate change, landuse management, biodiversity conservation, and sustainable management in the Himalayan region. The aim of this book is to enhance coordination building among policymakers, planners, mountain communities to foster collaboration between different stakeholders by understanding local perceptions of climate change as well as variability issues, and establishing adaptation strategies to cope with these impacts. The chapters incorporate theoretical and applied aspects, and may serve as baseline information for the sustainability of mountain ecosystems through the contribution of multidisciplinary and interdisciplinary expertise from the Himalayan region. The book will be useful for students, teachers, and researchers working in different areas pertaining to mountain ecosystems, as well as policymakers and planners working on issues related to the sustainability of the mountain ecosystem.

The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.