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Author

Zia Ullah

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Review Open access Aug 2026

An Explainable Machine Learning Framework for Early Detection of Brain Tumours with Statistical Analysis of Clinical and Imaging Data

An explainable machine learning framework that integrates clinical and imaging data for early detection of brain tumors is proposed and supports the feasibility of trustworthy AI-assisted diagnostics in neuro-oncology, particularly for resource-constrained settings.

Mehran Ali, Zia Ullah, M. Ullah et al. · 0 citations
#edge computing Review Aug 2026

Enhancing Stable Behavioral Imitation through Adaptive Reward Weighting in TD3-SAC-GAIL

The results demonstrate the potential of adaptive reward weighting to provide a systematic mechanism for controlling the exploration–imitation trade-off and enhancing the stability and robustness of GAIL-based policy learning while retaining the exploration advantages of the TD3-SAC hybrid framework.

Mehran Ali, Zia Ullah, Aliza Ashfaq · 0 citations

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