Author

A. Khandakar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

Can the Quantum Fisher Effective Dimension Judge a Hybrid Quantum Neural Network?

Hybrid quantum neural networks (QNNs) pair a classical feature extractor with a variational quantum circuit, and the effective dimension of the circuit's quantum Fisher information matrix (QFIM) is widely used to assess such models. This scalar is often interpreted as an indicator of trainability or accuracy, although...

M. Mia, A. Khandakar, M. Ayari · 0 citations

Open access Oct 2026

HierTAC-Net: a robust and explainable hierarchical attention network for multi-configuration gastrointestinal endoscopic image classification

HierTAC-Net is proposed, a six-stage convolutional classifier that combines inverted residual blocks, triple attention at three resolution levels, and ConvNeXt-style refinement that is suitable for real-time deployment and remains stable under common artifacts and across two clinical collections.

M. Mia, A. Khandakar, Sawal Hamid Bin Mohd Ali et al. · Scientific Reports · 0 citations

Open access 2026

Adaptive BitFit: Gradient-Driven Sparse Bias Fine-Tuning for Efficient Cancer Classification

Accurate histopathological classification is essential for early cancer diagnosis, yet deep learning models often require extensive computational resources, limiting their deployment in real-world clinical settings. Parameter-Efficient Fine-Tuning (PEFT) strategies offer a promising alternative, but existing methods su...

Nafisa Binte Ghulam Kibria, M. Mia, Hafsa Binte Kibria et al. · IEEE Access · 0 citations