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Rana Fayyaz Ahmad

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#artificial intelligence Preprint Jun 2026

Integrating Triaxial IMU Sensors and Ensemble Learning for Effective Parkinson Disease Severity Classification

A comparative system using artificial intelligence to detect Parkinsons disease by analyzing the motion and tremor data captured by an inertial measurement unit IMU shows that the proposed machine learning approach offers an accurate and effective predictive capability in the classification of PD severity.

R. Khan, M. J. Asif, Rana Fayyaz Ahmad · 0 citations
#artificial intelligence Preprint Aug 2026

Efficient Adaptation of LLMs for Hate Speech Detection in Low-Resource Languages: A Comparative Study on Roman Urdu

It is challenging to detect hate speech in Low Resource Languages (LRLs) because of the absence of annotated data, the informality of its language structure, and the lack of standardized grammar. A good example of such a challenge is Roman Urdu which is broadly used by South Asians on social media and has a high variat...

Toneema Zubair, Muhammad Asif, F. Kamiran et al. · 0 citations

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