Author

Muhammad Hamid

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Open access Aug 2026

LEXF-ATT-XLM: A hybrid lexicon-enhanced attention model for hate speech detection in low-resource language Roman Urdu

A novel hybrid deep learning architecture that synergizes contextual language modeling with explicit domain knowledge and integrates a domain specific Roman Urdu hate lexicon as an auxiliary regression supervision signal within a multi task learning framework to guide the model’s focus.

Jaweria Jalil Awan, Muhammad Hamid, T. Alshalali · PLoS ONE · 0 citations

Open access Jul 2026

Air quality index prediction using machine learning regression models: A comparative analysis

This research’s novelty lies in using the latest AQI datasets for Karachi and Peshawar and applying standard scaling for AQI normalization, highlighting the importance of using standard scalers to achieve optimal model performance.

F. Majeed, Sana Saleha, Laraib Abbas et al. · PLoS ONE · 0 citations