Arundhati sharma (10 Ergebnisse)

Paperback. Zustand: New.

Paperback. Zustand: New.

Zustand: New.

Zustand: New. pp. xi + 333 Figures, Illus. (Some Col.).

Zustand: New. pp. xi + 333.

Hardcover. Zustand: New. Zustand des Schutzumschlags: New. 1st Edition. Internet has emerged as a powerful medium for storage, retrieval and dissemination of information on the web and the user of the information growing rapidly. Information Communication ant Technology has changed the concept of library, where the print and paper media are the main components to the new system called digital library.Digital libraries can be viewed as a new form of information institution or as an extension of the services of libraries currently provided. Multimedia is one of the components ofthe information technology that is being used in digital libraries in the handling and dissemination of information. The librarian needs to be aware of the many characteristicsof the multitude of communication forms available. This book organizes and investigates the prevalent information communication technologies and multimedia for themanagement of digital library is an effort to assist the professionals in becoming more knowledgeable about them.…

Paperback. Zustand: New.

Paperback. Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - Machine Learning and Spatial Optimisation is an exploration positioned at the intersection of environmental science, geospatial technology, and data analytics, exploring how advanced computational methods and spatial data analysis can address critical environmental challenges. The chapters progress from foundational concepts to practical case studies in spatial data and GIS workflows to real-world applications, including air quality monitoring, water resource management, land-use analysis, biodiversity conservation, and disaster risk assessment. With a strong focus on real-world implementation, the book bridges theory and practice by offering methodological insights, policy relevance, and data-driven strategies for sustainable environmental management. Key Features: -Integration of machine learning with GIS and spatial analysis.-Coverage of major environmental challenges and applications.-Real-world case studies for monitoring, prediction, and planning.-Focus on decision support, policy insights, and sustainability.-Practical approaches to data-driven environmental management.…