Titlebook: Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems; Tanupriya Choudhury,Bappaditya Koley,Atul

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https://doi.org/10.1007/978-3-322-88549-4Deep convolution neural network (CNN), which has lately revived the neural network, has achieved significant success in the fields of artificial intelligence, image processing, and signal processing. Here, we provide a systematic, thorough, and modest analysis of deep neural network-boosted image co

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Die Entwicklungsaufgabe kulturelle Identitätto their deaths and disrupting the ecosystem. Approximately eight metric tons of plastic enter the oceans annually, contaminating drinking water with harmful microplastics. Cleaning up this waste remains a major challenge. This paper presents an autonomous underwater vehicle (AUV) designed to addres

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978-3-031-53765-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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An Introduction to Artificial Intelligence and Its Applications Towards Remote Sensing, behaviour, thinking and decision-making. It has a tremendous impact in all sectors. In short, it replicates human intelligence. The main aim of artificial intelligence is to mimic the human brain through reasoning, learning and problem-solving. Artificial intelligence is achieved by machine learnin

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Application of Geospatial Technologies and AHP Technique in the Identification of Soil Erosion-Pronted in the Southern Ethiopian Rift Valley. Consequently, land becomes degraded, biodiversity declines, and agricultural production decreases. Identification of susceptible soil erosion zones is highly needed to develop effective soil erosion management and conservation plans. The present study mainl