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Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building
Research article (Sustainability, 2022) · cited 32× · AI/ML
Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building
Summary
Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building is a scholarly article[1].
Key Facts
Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building's instance of is recorded as scholarly article[2].
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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). Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building. Retrieved May 24, 2026, from https://4ort.xyz/entity/indoor-occupancy-detection-based-on-environmental-data-using-cnn-xgboost-model-experimental-validation-in-a-residential-
MLA“Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/indoor-occupancy-detection-based-on-environmental-data-using-cnn-xgboost-model-experimental-validation-in-a-residential-.
BibTeX@misc{4ortxyz_indoor-occupancy-detection-based-on-environmental-data-using-cnn-xgboost-model-experimental-validation-in-a-residential-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building}}, year = {2026}, url = {https://4ort.xyz/entity/indoor-occupancy-detection-based-on-environmental-data-using-cnn-xgboost-model-experimental-validation-in-a-residential-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Indoor Occupancy Detection Based on Environmental Data Using CNN-XGboost Model: Experimental Validation in a Residential Building — https://4ort.xyz/entity/indoor-occupancy-detection-based-on-environmental-data-using-cnn-xgboost-model-experimental-validation-in-a-residential- (retrieved 2026-05-24)
