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Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network

Research article (Electronics, 2022) · cited 26× · AI/ML
academia openalex:W4295592456
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Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network

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Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network is a scholarly article[1].

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  • Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/stress-detection-system-for-working-pregnant-women-using-an-improved-deep-recurrent-neural-network
MLA “Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/stress-detection-system-for-working-pregnant-women-using-an-improved-deep-recurrent-neural-network.
BibTeX @misc{4ortxyz_stress-detection-system-for-working-pregnant-women-using-an-improved-deep-recurrent-neural-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network}}, year = {2026}, url = {https://4ort.xyz/entity/stress-detection-system-for-working-pregnant-women-using-an-improved-deep-recurrent-neural-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Stress Detection System for Working Pregnant Women Using an Improved Deep Recurrent Neural Network — https://4ort.xyz/entity/stress-detection-system-for-working-pregnant-women-using-an-improved-deep-recurrent-neural-network (retrieved 2026-05-24)

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