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A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision
A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision
Summary
A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision is a scholarly article[1].
Key Facts
A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-predictive-analysis-and-classification-of-land-subsidence-vulnerability-mapping-based-on-gis-using-hybrid-optimi
MLA“A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-predictive-analysis-and-classification-of-land-subsidence-vulnerability-mapping-based-on-gis-using-hybrid-optimi.
BibTeX@misc{4ortxyz_a-novel-predictive-analysis-and-classification-of-land-subsidence-vulnerability-mapping-based-on-gis-using-hybrid-optimi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-predictive-analysis-and-classification-of-land-subsidence-vulnerability-mapping-based-on-gis-using-hybrid-optimi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Predictive Analysis and Classification of Land Subsidence Vulnerability Mapping based on GIS using Hybrid Optimized Machine Learning Techniques and Computer Vision — https://4ort.xyz/entity/a-novel-predictive-analysis-and-classification-of-land-subsidence-vulnerability-mapping-based-on-gis-using-hybrid-optimi (retrieved 2026-05-24)
