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Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor

Research article (Biomedical Signal Processing and Control, 2025) · cited 16× · AI/ML
academia openalex:W4406096360
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Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor

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Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor is a scholarly article[1].

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  • Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor. Retrieved May 24, 2026, from https://4ort.xyz/entity/reinforcement-learning-based-sliding-mode-control-for-optimal-chemotherapy-drug-in-cancerous-tumor
MLA “Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reinforcement-learning-based-sliding-mode-control-for-optimal-chemotherapy-drug-in-cancerous-tumor.
BibTeX @misc{4ortxyz_reinforcement-learning-based-sliding-mode-control-for-optimal-chemotherapy-drug-in-cancerous-tumor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor}}, year = {2026}, url = {https://4ort.xyz/entity/reinforcement-learning-based-sliding-mode-control-for-optimal-chemotherapy-drug-in-cancerous-tumor}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reinforcement learning based sliding mode control for optimal chemotherapy drug in cancerous tumor — https://4ort.xyz/entity/reinforcement-learning-based-sliding-mode-control-for-optimal-chemotherapy-drug-in-cancerous-tumor (retrieved 2026-05-24)

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