Author

Adnan Nadeem

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Open access Aug 2026

CardioDiag: a machine learning approach for cardiovascular disease diagnosis using XAI-guided hybrid dimensionality reduction and optimized-based ensemble classifiers

Results underscore the effectiveness of the CardioDiag approach in enhancing diagnostic accuracy and reliability and support its utility in clinical decision-making and aid in the early diagnosis of CVD.

M. J. Khan, B. Raza, Adnan Nadeem · PeerJ Computer Science · 0 citations

Open access Jul 2026

Learning-driven MIMO channel estimation using a residual U-Net-BiLSTM-attention hybrid model.

This work introduces a hybrid residual U-Net-bidirectional long short-term memory with attention (ResUNet-BiLSTM-Attention) channel estimator that learns a nonlinear mapping from noisy pilot observations to MIMO channel coefficients and consistently outperforms both conventional and learning-based baselines.

Mohammad Zubair Khan, Ibrahim Aljubayri, C. Prabha et al. · Scientific Reports · 0 citations

Open access Jul 2026

A comparative and interpretable machine learning framework for reliable diabetes risk prediction.

It is indicated that a rigorously conducted methodology and interpretability in machine learning development are crucial in creating machine learning solutions in healthcare decision support, which is the pathway to real applications in diabetes risk assessment.

T. Khan, M. Saeed, Majid Hussain et al. · Scientific Reports · 0 citations