This book is a valuable resource for the increasing body of researchers and practitioners in the field of geospatial technologies. Written by leading researchers and experts it is designed in such a way that technical achievements and challenges of geospatial computing applications are followed by various applications developed for society. As such, they serve as a bridge between technologists and solution developers, which is critical in the context of developing countries. There have been significant advances in geospatial technologies in India in the last decade, including advances in spatial data infrastructures, geocomputation and spatial databases, and innovative applications in natural resource development. Ranging from LIDAR standards, to data integration using ontologies, and mobile computing, such progress enhances the utility of the technology for both urban and rural development. This book discusses these achievements and considers the way forward.

This book is composed by the papers accepted for presentation and discussion at The 2019 International Conference on Information Technology & Systems (ICITS'20), held at the Universidad Distrital Francisco José de Caldas, in Bogotá, Colombia, on 5th to 7th February 2020. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered are: information and knowledge management; organizational models and information systems; software and systems modelling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; information technologies in education.

Many organizations struggle to advance their businesses due to a lack of knowledge of innovative strategies and ways to transform their business to remain relevant. Innovation, Strategy, and Transformation Frameworks for the Modern Enterprise is a comprehensive guide that equips organizations with the necessary tools to thrive in today's complex and ever-changing business landscape. This book explores a wide range of frameworks and their applications, providing practical insights and theoretical discussions to facilitate successful innovation, strategic planning, and digital transformation. The book begins by introducing the concept of frameworks in contemporary businesses. It emphasizes their importance as organized and methodical techniques for solving difficulties, managing processes, and making informed decisions based on accurate information. These frameworks cover various domains, including enterprise architecture, IT service management, business process management, project management, IT governance, agile methodologies, and innovation. By incorporating these frameworks, organizations can establish a strong foundation and adapt effectively to the rapidly evolving business environment. Designed for a wide range of readers, including educators, policymakers, researchers, consultants, IT professionals, and students, this book serves as an invaluable resource for those seeking to harness the power of frameworks to drive innovation, implement effective strategies, and navigate the complexities of digital transformation in today's fast-paced business environment. It provides a comprehensive understanding of the various frameworks, their implementations, and their potential to shape the future of business, government, and academia.

The year 2022 has been declared by the United Nations as the "International Year of Basic Sciences for Sustainable Development". Sustainable development is focused on the UN's 17 Sustainable Development Goals. These require the use of basic sciences. This edited book of proceedings (volume 2) is a collection of ten invited and peer-reviewed contributions from environmental protection and water remediation.

This book is addressed to students and professionals, and it is aimed to cover as much as possible the broader region of topographic mapping as it has evolved into a modern field called geospatial information science and technology. More emphasis is placed on using scientific methods and tools materialized in algorithms and software to produce practical results. For this reason, beyond the written material, there are also many educational and professional software programs written by the first author to help comprehend the individual methodologies developed. The Target of this book is to provide the people who work in fields of applications of topographic mapping (environment, geology, geography, cartography, engineering, geotechnical, agriculture, forestry, geointelligence, etc.) a source of knowledge for the broader region so that to help them in facing relevant problems as well as in preparing contracts and specifications for such type of work assigned to professionals and evaluating such contracting results. It also aims to be a reference for theory and practice for professionals in Topographic Mapping. This book applies a didactics method where, with a relatively small effort, someone can digest a large volume of simple or complicated knowledge material at a desirable scientific depth within a relatively short time interval. The objective that educated people must be "smarter than the machine" and not treat the machine as a "black box" being "button pushers" has been achieved through the first author's experience in the USA and Greece, with relative success by adopting this didactics technique. There are 14 chapters, including Reference systems and Projections, Topographic instruments and Geometry of coordinates, Conventional construction of a topographic map, Design and reproduction of a thematic map, Digital Topographic mapping - GIS, Digital Terrain Models (DTM / DEM), GPS/GNSS, methods of Photogrammetry, Remote Sensing, new technologies LIDAR, IFSAR, Augmented reality, Mapping with UAS/UAV/Drones, the method of Least Squares adjustment, and Description of educational software accompanying the text.

This book aims to address emerging challenges in the field of agriculture and natural resource management using the principles and applications of data science (DS). The book is organized in three sections, and it has fourteen chapters dealing with specialized areas. The chapters are written by experts sharing their experiences very lucidly through case studies, suitable illustrations and tables. The contents have been designed to fulfil the needs of geospatial, data science, agricultural, natural resources and environmental sciences of traditional universities, agricultural universities, technological universities, research institutes and academic colleges worldwide. It will help the planners, policymakers and extension scientists in planning and sustainable management of agriculture and natural resources. The authors believe that with its uniqueness the book is one of the important efforts in the contemporary cyber-physical systems.

The COVID-19 pandemic has presented unprecedented challenges for individuals, societies, and economies around the world. But it has also presented opportunities for growth and improvement in various domains. In this book, Dr. Saeed Siyal, an expert in management science, provides a comprehensive explanation for why pandemics and similar crises are both detrimental and simultaneously prompt long-needed change. Through a thorough analysis of the impacts of the COVID-19 pandemic, Dr. Saeed Siyal explores the ways in which it has forced individuals, organizations, and governments to adapt and find new solutions to the problems we face, many of which were exacerbated by the crisis. Using Crises and Disasters as Opportunities for Innovation and Improvement covers a range of topics, including healthcare, remote work, education, environment, and social connections, and provides evidence-based insights and practical solutions for adapting to the challenges and opportunities of COVID-19. This book is a must-read for anyone interested in advancing the standards of their organizations and making a positive impact on society. It is designed for managers, leaders, corporate sectors, MNCs, SMEs, academicians, and policymakers.

This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.

This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi'an, China, from 19 to 21 December 2020. All papers were rigorously peer-reviewed by experts in the areas.

This book constitutes the proceedings of the 18th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2021, held in October 2021. Due to COVId-19 pandemic the conference was held virtually. The 25 full papers and 9 short papers presented were carefully reviewed and selected from 69 submissions. The achievement, progress and future challenges are reported in areas such as health care, industrial design, banking IT systems, cultural activities support, operational maritime cybersecurity assurance, emotion communication, and social network data analytics.