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 Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-feasibility-of-respiration-prediction-based-on-deep-bi-lstm-for-real-time-tumor-tracking
MLA“A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-feasibility-of-respiration-prediction-based-on-deep-bi-lstm-for-real-time-tumor-tracking.
BibTeX@misc{4ortxyz_a-feasibility-of-respiration-prediction-based-on-deep-bi-lstm-for-real-time-tumor-tracking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking}}, year = {2026}, url = {https://4ort.xyz/entity/a-feasibility-of-respiration-prediction-based-on-deep-bi-lstm-for-real-time-tumor-tracking}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Feasibility of Respiration Prediction Based on Deep Bi-LSTM for Real-Time Tumor Tracking — https://4ort.xyz/entity/a-feasibility-of-respiration-prediction-based-on-deep-bi-lstm-for-real-time-tumor-tracking (retrieved 2026-05-24)
