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). Cursive Handwritten Text Recognition using Bi-Directional LSTMs: A Case Study on Urdu Handwriting. Retrieved May 24, 2026, from https://4ort.xyz/entity/cursive-handwritten-text-recognition-using-bi-directional-lstms-a-case-study-on-urdu-handwriting
MLA“Cursive Handwritten Text Recognition using Bi-Directional LSTMs: A Case Study on Urdu Handwriting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cursive-handwritten-text-recognition-using-bi-directional-lstms-a-case-study-on-urdu-handwriting.
BibTeX@misc{4ortxyz_cursive-handwritten-text-recognition-using-bi-directional-lstms-a-case-study-on-urdu-handwriting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cursive Handwritten Text Recognition using Bi-Directional LSTMs: A Case Study on Urdu Handwriting}}, year = {2026}, url = {https://4ort.xyz/entity/cursive-handwritten-text-recognition-using-bi-directional-lstms-a-case-study-on-urdu-handwriting}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Cursive Handwritten Text Recognition using Bi-Directional LSTMs: A Case Study on Urdu Handwriting — https://4ort.xyz/entity/cursive-handwritten-text-recognition-using-bi-directional-lstms-a-case-study-on-urdu-handwriting (retrieved 2026-05-24)