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A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran
Research article (ISPRS International Journal of Geo-Information, 2025) · cited 14× · AI/ML
A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran
Summary
A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran is a scholarly article[1].
Key Facts
A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran'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 Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-evolutionary-deep-learning-approach-for-pm2-5-prediction-using-remote-sensing-and-spatialtemporal-data-a-case-st
MLA“A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-evolutionary-deep-learning-approach-for-pm2-5-prediction-using-remote-sensing-and-spatialtemporal-data-a-case-st.
BibTeX@misc{4ortxyz_a-novel-evolutionary-deep-learning-approach-for-pm2-5-prediction-using-remote-sensing-and-spatialtemporal-data-a-case-st_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-evolutionary-deep-learning-approach-for-pm2-5-prediction-using-remote-sensing-and-spatialtemporal-data-a-case-st}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Evolutionary Deep Learning Approach for PM2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran — https://4ort.xyz/entity/a-novel-evolutionary-deep-learning-approach-for-pm2-5-prediction-using-remote-sensing-and-spatialtemporal-data-a-case-st (retrieved 2026-05-24)
