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APA4ort.xyz Knowledge Graph. (2026). Deep neural network approach to estimation of power production for an organic Rankine cycle system. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-neural-network-approach-to-estimation-of-power-production-for-an-organic-rankine-cycle-system
MLA“Deep neural network approach to estimation of power production for an organic Rankine cycle system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-neural-network-approach-to-estimation-of-power-production-for-an-organic-rankine-cycle-system.
BibTeX@misc{4ortxyz_deep-neural-network-approach-to-estimation-of-power-production-for-an-organic-rankine-cycle-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep neural network approach to estimation of power production for an organic Rankine cycle system}}, year = {2026}, url = {https://4ort.xyz/entity/deep-neural-network-approach-to-estimation-of-power-production-for-an-organic-rankine-cycle-system}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep neural network approach to estimation of power production for an organic Rankine cycle system — https://4ort.xyz/entity/deep-neural-network-approach-to-estimation-of-power-production-for-an-organic-rankine-cycle-system (retrieved 2026-05-24)
