Emerging Trends Techniques And Applications In Geospatial Data Science
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| Author | : Gaur, Loveleen |
| Publisher | : IGI Global |
| Total Pages | : 324 |
| Release | : 2023-04-24 |
| Genre | : Technology & Engineering |
| ISBN | : 1668473216 |
With the emergence of smart technology and automated systems in today’s world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians.
| Author | : Loveleen Gaur |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023 |
| Genre | : Big data |
| ISBN | : 9781668473191 |
"This book provides an overview of basic concepts of data science, related tools & technologies, and algorithms for handling the relevant challenges in real-time applications domains. The book covers a detailed description to the readers with practical ideas of using AI, IoT, machine learning to deal with the analysis, modeling and predications from big data. This book comprises of topics which provide in depth understanding of various latest tools and techniques used in the analysis of geospatial big data for real-time applications, as well as to deal with the relevant challenges for future applications. Overall this publication 'The Geospatial Data Science: Emerging Trends, Techniques and Applications', would help the readers to understand the value and importance of big data to individuals as well as homes and organizations. In addition, it will provide insights to undertake research work in future challenging areas"--
| Author | : Galety, Mohammad Gouse |
| Publisher | : IGI Global |
| Total Pages | : 364 |
| Release | : 2024-05-16 |
| Genre | : Technology & Engineering |
| ISBN | : |
Academics and researchers currently grapple with a pressing issue; the demand for precise and insightful geographical information has surged across various fields, encompassing urban planning, environmental monitoring, agriculture, and disaster management. This surge has revealed a substantial knowledge gap, underscoring the need for effective applications that can bridge the gap between cutting-edge technologies and practical usage. Geospatial Application Development Using Python Programming emerges as the definitive solution to this challenge. This comprehensive book equips academics, researchers, and professionals with the essential tools and insights required to leverage the capabilities of Python programming in the realm of spatial analysis. It goes beyond merely connecting these two realms; it actively fosters their collaboration. By advancing knowledge in spatial sciences and highlighting Python's pivotal role in data analysis and application development, this book plays a crucial part in addressing the challenge of effectively harnessing geographical data.
| Author | : Chetan Sharma |
| Publisher | : Springer Nature |
| Total Pages | : 295 |
| Release | : |
| Genre | : |
| ISBN | : 3031656830 |
| Author | : Galety, Mohammad Gouse |
| Publisher | : IGI Global |
| Total Pages | : 359 |
| Release | : 2024-04-29 |
| Genre | : Technology & Engineering |
| ISBN | : |
In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book’s meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.
| Author | : Vohra, Rubeena |
| Publisher | : IGI Global |
| Total Pages | : 311 |
| Release | : 2024-03-18 |
| Genre | : Technology & Engineering |
| ISBN | : |
Today, the relentless depletion of natural resources has reached a critical juncture, demanding innovative solutions. Advanced Geospatial Practices in Natural Environment Resource Management dives into the intricate tapestry of issues jeopardizing ecosystems. This book systematically dissects the fundamental drivers, traces the historical evolution, and elucidates the underlying causes that have led to this precarious point. From deforestation to pollution, from climate change to habitat destruction, these challenges are multifaceted. By harnessing the power of data-driven decision-making and predictive modeling, this book advocates for a profound shift in the approach to environmental issues. This book also explores the complexities of water, soil, and air-related challenges, offering technically sound solutions that strike a balance between legislative, economic, social, and political considerations. The holistic approach championed in these pages holds the potential to benefit governments, businesses, and communities alike. This book is ideal for a diverse audience, including students, scholars, and researchers, as well as environmental science enthusiasts, geospatial technology professionals, and AI/ML practitioners. Policymakers, environmental engineers, and professionals engaged in governmental and corporate sustainability initiatives will also discover practical solutions to address the pressing challenges.
| Author | : Gaur, Loveleen |
| Publisher | : IGI Global |
| Total Pages | : 422 |
| Release | : 2023-11-24 |
| Genre | : Medical |
| ISBN | : 1668498243 |
Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already shown great potential in assisting with diagnosis, treatment, and patient care. The metaverse, with its immersive virtual environments, has the potential to revolutionize healthcare by making it more accessible, efficient, and personalized. This book introduces various applications of the metaverse in healthcare, including virtual consultations, remote patient monitoring, and virtual rehabilitation. The book discusses how the metaverse can be used to provide immersive experiences that empower patients and providers, while also offering unique learning opportunities. The book is ideal for researchers, practitioners, healthcare professionals, scholars, and students who are interested in exploring the cutting-edge technology of AI and the metaverse in healthcare. It offers insights into the future of healthcare, and how these technologies can be used to provide better care to patients. By combining the latest research in AI and the metaverse, this book provides a comprehensive overview of the potential applications of these technologies in healthcare.
| Author | : Atiku, Sulaiman Olusegun |
| Publisher | : IGI Global |
| Total Pages | : 396 |
| Release | : 2024-06-05 |
| Genre | : Business & Economics |
| ISBN | : |
In the era of Industry 5.0, the world faces a critical juncture where technological advancement collides with escalating socio-environmental challenges. Climate change, energy consumption, and threats to public health are exacerbated by the rapid embrace of Industry 4.0 technologies. As businesses pursue efficiency, the compromise on human and social sustainability becomes inevitable. The need for a holistic approach to sustainable development is urgent, where economic growth aligns seamlessly with environmental, social, and human well-being. Eco-Innovation and Sustainable Development in Industry 5.0 serves as a guide in the pursuit of sustainable development within Industry 5.0. This book dissects the intricate challenges posed by socio-environmental issues and seamlessly offers a multidisciplinary approach to achieving sustainable development goals. The detrimental impact of Industry 4.0 on sustainable development necessitates the paradigm shift proposed within the book. Economic pursuits can no longer overshadow the crucial pillars of human, social, and environmental sustainability. The delicate balance required for a sustainable future is at risk, demanding a multidisciplinary approach to reconcile these seemingly conflicting objectives. This book is a call to action, to bridge the knowledge gap and provide tangible solutions for achieving sustainability in Industry 5.0.
| Author | : Jhanjhi, Noor Zaman |
| Publisher | : IGI Global |
| Total Pages | : 664 |
| Release | : 2024-09-13 |
| Genre | : Computers |
| ISBN | : |
The constantly changing digital environment of today makes cybersecurity an ever-increasing concern. With every technological advancement, cyber threats become more sophisticated and easily exploit system vulnerabilities. This unending attack barrage exposes organizations to data breaches, financial losses, and reputational harm. The traditional defense mechanisms, once dependable, now require additional support to keep up with the dynamic nature of modern attacks. Reshaping CyberSecurity With Generative AI Techniques offers a transformative solution to the pressing cybersecurity dilemma by harnessing the power of cutting-edge generative AI technologies. Bridging the gap between artificial intelligence and cybersecurity presents a paradigm shift in defense strategies, empowering organizations to safeguard their digital assets proactively. Through a comprehensive exploration of generative AI techniques, readers gain invaluable insights into how these technologies can be leveraged to mitigate cyber threats, enhance defense capabilities, and reshape the cybersecurity paradigm.
| Author | : Hassan A. Karimi |
| Publisher | : CRC Press |
| Total Pages | : 314 |
| Release | : 2014-02-18 |
| Genre | : Mathematics |
| ISBN | : 1466586516 |
Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.
