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  • Books  (2)
  • Geographical Information System.  (2)
  • Human geography.
  • Cham :Springer International Publishing :  (2)
  • 006.3  (2)
  • 1
    Online Resource
    Online Resource
    Sustainability Challenges and Delivering Practical Engineering Solutions : Resources, Materials, Energy, and Buildings (2023)
    Cham :Springer International Publishing :
    Details
    Keywords: Artificial intelligence. ; Project management. ; Sustainability. ; Biotechnology. ; Geographic information systems. ; Artificial Intelligence. ; Project Management. ; Sustainability. ; Biotechnology. ; Geographical Information System.
    Description / Table of Contents: Introduction -- An Assessment of Dry Animal Dung to Power Generation and Investigation of A Possible Solar-Biogas Synergy -- An Assessment of the effects of Environmental factors on postharvest storage of some crops cultivated in Kaduna -- Analysis of Garment Manufacturing Process: A Case study (SUR Military and Civil clothing Factory) -- Application of Fuzzy Analytical Hierarchy Process for Replan of Omdurman Islamic University Main Campus to ensure Sustainable Environment -- Biological Nitrogen Removal of Monoethanolamine (MEA) from Petrochemical Wastewater using Activated Sludge Process -- Biological Organic Removals of Monoethanolamine (MEA) in an Activated Sludge System -- Bioremediation of Domestic Wastewater Using Pistia Stratiotes and Lemna Minor Plants -- Comparative Review of Global and Malaysian Green Building Rating Systems: Literature review -- Determination of Quality Parameters of Biodiesel from Feedlot Manure for Optimization of Production Process Conditions -- Developing performance dashboard for operational KPIs of water distribution network -- Development of Artificial Intelligence Techniques in Predicting Water Quality Parameters for Effective Project Management in A Complex River System.
    Abstract: This book highlights the recent findings and advances in science engineering technology and sustainability issues. It aims to discuss, reflect and share experience in addressing the findings in science engineering technology and sustainability. The book aims to report the various interrelated disciplines from different institutions to discuss, reflect and share technology and experience in addressing new findings and strategies. This book presents the proceedings of the Science Engineering Technology and Sustainability International Conference (SETS2021) which was held virtually—as sustainable virtual conferences become the new normal—during December 23–25, 2021. This book is presenting latest research findings, and it is suitable for researchers, postgraduate students, professionals and experts. The book includes interesting and top research in fuzzy modeling and decision-making applications in computer science. Several chapters address trending research about bioremediation and phytoremediation. There are mainly three research findings that cover artificial intelligence, sustainability and new technologies.
    Type of Medium: Online Resource
    Pages: XIII, 210 p. 138 illus., 122 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031265808
    Series Statement: Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
    URL: https://doi.org/10.1007/978-3-031-26580-8
    DOI: 10.1007/978-3-031-26580-8
    DDC: 006.3
    Language: English
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  • 2
    Online Resource
    Online Resource
    Artificial Intelligence Techniques for Satellite Image Analysis (2020)
    Cham :Springer International Publishing :
    Details
    Keywords: Artificial intelligence. ; Geographic information systems. ; Computer vision. ; Pattern recognition systems. ; Artificial Intelligence. ; Geographical Information System. ; Computer Vision. ; Automated Pattern Recognition.
    Description / Table of Contents: 1. Heightening satellite image display via mobile augmented reality - a cutting-edge planning model -- 2. Multithreading Approach for clustering of Multi-Plane Satellite Images -- 3. Classification of field level crop types with a time series satellite data using Deep Neural Network -- 4. Detection of ship from satellite images using deep convolutional neural networks with improved median filter -- 5. Artificial Bee Colony optimized contrast enhancement for satellite image fusion -- 6. Effective transform domain denoising of oceanographic sar images for improved target characterization -- 7. Fused segmentation algorithm for the detection of nutrient deficiency in crops using SAR images -- 8. Detection of natural features and objects in satellite images by semantic segmentation using neural networks -- 9. Change Detection of Tropical Mangrove Ecosystem with Subpixel Classification of Time Series Hyperspectral Imagery -- 10. Crop Classification and Mapping for Agricultural Land from Satellite Images -- 11. Next Generation Artificial Intelligence Techniques for Satellite Data Processing -- 12. A wavelet transform applied spectral index for effective water body extraction from moderate resolution satellite images.
    Abstract: The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing. .
    Type of Medium: Online Resource
    Pages: VIII, 274 p. 150 illus., 100 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030241780
    Series Statement: Remote Sensing and Digital Image Processing, 24
    URL: https://doi.org/10.1007/978-3-030-24178-0
    DOI: 10.1007/978-3-030-24178-0
    DDC: 006.3
    Language: English
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