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Titlebook: Data Science in Societal Applications; Concepts and Implica Siddharth Swarup Rautaray,Manjusha Pandey,Nhu Gia Book 2022 The Editor(s) (if

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發(fā)表于 2025-3-23 11:55:00 | 只看該作者
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發(fā)表于 2025-3-23 17:19:45 | 只看該作者
https://doi.org/10.1007/978-3-031-50495-2th decision-makers and planners. While QGIS Plug-in is coupled with Quantum GIS to invoke a Cloud GIS environment, the current model has relied on Quantum GIS for geospatial database development. The model‘s assumptions have been tested on a subset of the Odisha coast, specifically the Baleswar, Bhadrak, Kendrapara, and Jagatsinghpur coasts.
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發(fā)表于 2025-3-23 20:04:19 | 只看該作者
Cloud GIS Model for Coastal Geospatial Big Data Analytics,th decision-makers and planners. While QGIS Plug-in is coupled with Quantum GIS to invoke a Cloud GIS environment, the current model has relied on Quantum GIS for geospatial database development. The model‘s assumptions have been tested on a subset of the Odisha coast, specifically the Baleswar, Bhadrak, Kendrapara, and Jagatsinghpur coasts.
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發(fā)表于 2025-3-23 23:00:54 | 只看該作者
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發(fā)表于 2025-3-24 06:23:43 | 只看該作者
Kochen Helfer: An AI-Based Cooking Assistant, anyone to guide them. Kochen Helfer, an AI-based cooking assistant, is one such product that will be helpful to reach the quality of food desired through proper ?mage processing, classification and recommendation. Kochen Helfer is a proposed application of Deep Learning that can be used by novices in the domain of cooking.
16#
發(fā)表于 2025-3-24 09:55:32 | 只看該作者
Book 2022le approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating
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發(fā)表于 2025-3-24 14:28:18 | 只看該作者
18#
發(fā)表于 2025-3-24 16:45:04 | 只看該作者
Isabelle Bichindaritz,Lakhmi C. Jain inspired systems in this area by charting the insights and inspiration that have come to build our current state-of-the-art models and architecture. This work also presents a summary of similarities and contrasts of various such models to conclude on this evolution of deep learning in NLP.
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發(fā)表于 2025-3-24 20:38:57 | 只看該作者
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發(fā)表于 2025-3-25 01:39:10 | 只看該作者
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