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). Novel concept-based image captioning models using LSTM and multi-encoder transformer architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/novel-concept-based-image-captioning-models-using-lstm-and-multi-encoder-transformer-architecture
MLA“Novel concept-based image captioning models using LSTM and multi-encoder transformer architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/novel-concept-based-image-captioning-models-using-lstm-and-multi-encoder-transformer-architecture.
BibTeX@misc{4ortxyz_novel-concept-based-image-captioning-models-using-lstm-and-multi-encoder-transformer-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Novel concept-based image captioning models using LSTM and multi-encoder transformer architecture}}, year = {2026}, url = {https://4ort.xyz/entity/novel-concept-based-image-captioning-models-using-lstm-and-multi-encoder-transformer-architecture}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Novel concept-based image captioning models using LSTM and multi-encoder transformer architecture — https://4ort.xyz/entity/novel-concept-based-image-captioning-models-using-lstm-and-multi-encoder-transformer-architecture (retrieved 2026-05-24)