S.K. Singh – författare

Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information. The goal of this book is to provide hands on experience in performing all the activities from the loading of raster and vector data, mapping or visualisation of data, pre-processing, calculation of indices, classification and advanced machine learning algorithms on remote sensing data in R. The reader will be able to acquire skills to carry out most of the operations of raster data analysis – more flexibly - in open-source freely available software i.e. R which are generally available in the paid digital image processing software.Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.

This book emphasizes the role of humans in waste management in different countries across the globe. We provide a basic understanding of waste management and inherent problems that arise during its execution. We also highlight the solid waste management practices at the municipal level. Some of the introductory concepts inside the premise of waste crisis are given in simple language. A relatively important observation about electronic and hazardous waste management is given so that any reader can easily understand their effects. The impact of the wastes on health is also discussed with examples. This book serves as a guide for managers who are involved in waste management and students across diverse subjects.

Developing countries face unique challenges in managing waste sustainably due to rapid urbanization and limited resources. This book explores strategies for waste segregation, recycling, and resource recovery, emphasizing community engagement and policy frameworks. It highlights innovative technologies and successful case studies that demonstrate sustainable practices in diverse contexts. This book is an essential resource for environmental professionals, policymakers, and students working on sustainable development and public health.

This book offers a comprehensive and detailed guide for users to perform remote sensing and GIS operations using free and open-source software, specifically R. It is suitable for users who have a basic understanding of remote sensing and GIS but have limited knowledge of R software. The book introduces the R software and provides step-by-step instructions for downloading and installing it. It offers R-codes for tasks such as loading and plotting both raster and vector data, pre-processing and filtering raster data, processing vector data, unsupervised and supervised classification of raster data, and thematic mapping of both raster and vector data. Furthermore, it provides R-codes for advanced machine learning algorithms like random forest and support vector machine for supervised classification of raster data. This book is ideal for users who do not have access to expensive paid software for GIS and digital image processing. An additional DVD with sample data for practice is included, allowing users to gain hands-on experience with the R-codes provided in the book. This book can also serve as a useful training manual for performing digital image analysis and GIS operations using R software.

This book describes various methods and recent advances in predictive computing and information security. It highlights various predictive application scenarios to discuss these breakthroughs in real-world settings. Further, it addresses state-of-art techniques and the design, development and innovative use of technologies for enhancing predictive computing and information security. Coverage also includes the frameworks for eTransportation and eHealth, security techniques, and algorithms for predictive computing and information security based on Internet-of-Things and Cloud computing. As such, the book offers a valuable resource for graduate students and researchers interested in exploring predictive modeling techniques and architectures to solve information security, privacy and protection issues in future communication.

In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model.

This book describes various methods and recent advances in predictive computing and information security. Coverage also includes the frameworks for eTransportation and eHealth, security techniques, and algorithms for predictive computing and information security based on Internet-of-Things and Cloud computing.

This compilation has been designed to provide a comprehensive source of theoretical and practical update for scientists working in the broad field of soil science.

This compilation has been designed to provide a comprehensive source of theoretical and practical update for scientists working in the broad field of soil science.

This book comprises select papers presented at the International Conference on Trends and Recent Advances in Civil Engineering (TRACE 2020).