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Y. Manu

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Open access Aug 2026

An Attention-Based Multi-Modal Network Framework for Cardiovascular Disease Detection and Grading

A novel Hierarchical Attention-based Representation learning with Multi-modal Network (HARM-Net) framework to grade the severity of CVD and the significance of each component and the specific contribution of cross-attention fusion to improved model performance for accurate, multimodal diagnosis of CVD is demonstrated.

S. Shwetha, Y. Manu · 0 citations
Open access Aug 2026

AI-Based 3D Brain Tumor Segmentation and Tissue Quantification Using Multi-Modal MRI

An AI-based 3D brain tumor segmentation system based on a 3D U-Net architecture to segment brain tumors based on multi-classes with multi-modal MRI volumetric data to enhance interpretability and practical usability is introduced.

D. U. Latha, M. Padma, D. Rajeshwari et al. · 0 citations
Open access Sep 2026

A Lightweight CNN-GRU Model for Human Activity Recognition with Efficient Edge Deployment Using TFLite

A resource-constrained CNN-GRU hybrid model for HAR on the WISDM dataset that uses convolutional layers for spatial learning and gated recurrent units (GRU) for sequence learning, enabling real-time HAR on edge devices.

H. S. Ganesha, K. G. Harsha, Roshini P et al. · 0 citations

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