Urdu Lip Reading Systems for Digits in Controlled and Uncontrolled Environment by Amanullah Baloch, Mushtaq Ali, Lal Hussain, Touseef Sadiq, Badr S. Alkahtani

“…Despite advancements in lip reading for several languages, there has been limited success in developing an effective model for Urdu lip reading due to the lack of an appropriate dataset and the challenges faced by earlier models, such as the unsuccessful adaptation of the LipNet model to Urdu. …”
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The Turki-Language Diary of Insha Allah Khan Insha as a Literary Monument by Iskander R.Saitbattalov

“…Insha Allah Khan Insha was a key author of Urdu literature at the turn of the nineteenth centuries. …”
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TepiSense: A Social Computing-Based Real-Time Epidemic Surveillance System Using Artificial Intelligence by Bilal Tahir, Muhammad Amir Mehmood

“…TepiSense compares the performance of 3 feature extraction techniques, 9 machine/deep learning models, and 3 Large Language Models (LLMs). To test the performance of our system, we build a dataset of Twitter Epidemic Surveillance Corpus (TESC) containing 23.9K English and 13K labelled Urdu tweets related to six diseases: COVID19, hepatitis, malaria, flu, dengue, and HIV/AIDS. …”
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