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A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas
Research article (Remote Sensing, 2023) · cited 38× · AI/ML
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas
Summary
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas is a scholarly article[1].
Key Facts
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas'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 New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-approach-based-on-tensorflow-deep-neural-networks-with-adam-optimizer-and-gis-for-spatial-prediction-of-forest-fir
MLA“A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-approach-based-on-tensorflow-deep-neural-networks-with-adam-optimizer-and-gis-for-spatial-prediction-of-forest-fir.
BibTeX@misc{4ortxyz_a-new-approach-based-on-tensorflow-deep-neural-networks-with-adam-optimizer-and-gis-for-spatial-prediction-of-forest-fir_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-approach-based-on-tensorflow-deep-neural-networks-with-adam-optimizer-and-gis-for-spatial-prediction-of-forest-fir}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas — https://4ort.xyz/entity/a-new-approach-based-on-tensorflow-deep-neural-networks-with-adam-optimizer-and-gis-for-spatial-prediction-of-forest-fir (retrieved 2026-05-24)
