Md Omor Faruk

TAHAF architecture: dual encoders, three-scale attention fusion and five trait outputs.

Trait-Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems

Volume: 252; Pages: 112101; Article: 112101. The journal version is linked above. An earlier preprint used the title Task-Adaptive Hierarchical Attention Fusion.

md-mahbubur-rahman

• Sep 2026 • 1 min read

Alzheimer's prediction workflow, Figure 5.

Performance-optimized Alzheimer’s detection using machine learning with SMOTE and randomized hyperparameter tuning

Volume: 6; Issue: 1; Article: 95.

jahanur-biswas

• Jan 2026 • 1 min read

Adaptive Correspondence Learning for Multi-View Fusion of 3D Gaussian Reconstructions for Non-Invasive Strawberry Plant Phenotyping

This record links to the publicly available preprint.

md-omor-faruk

• Jan 2026 • 1 min read

Brain-tumor detection architecture, Figure 1.

An integrated deep learning approach for enhancing brain tumor diagnosis

Volume: 8; Pages: 100421; Article: 100421.

rabeya-bashri-sumona

• Dec 2025 • 1 min read

Trending Searches

No results found

Md Omor Faruk

Trait-Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems

Performance-optimized Alzheimer’s detection using machine learning with SMOTE and randomized hyperparameter tuning

Adaptive Correspondence Learning for Multi-View Fusion of 3D Gaussian Reconstructions for Non-Invasive Strawberry Plant Phenotyping

An integrated deep learning approach for enhancing brain tumor diagnosis