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Praveen Kumar Sekharamantry

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Aug 2026

CAF-Net: A Convolution and Attention Fusion Network with RR Interval Context for Five-Class Arrhythmia Detection from Single-Lead ECG

Automatic arrhythmia detection from the electrocardiogram (ECG) is a central component of modern cardiac screening, yet accurate discrimination of rare beat types from a single lead remains difficult. This paper proposes CAF-Net, a convolution and attention fusion network that combines a residual convolutional encoder...

Praveen Kumar Sekharamantry · 5 citations
Jul 2026

Enhanced Image Captioning Using Sinusoidal Spatial Transform CNN and Fine-tuned BERT

Image caption generation is a significant area of study in artificial intelligence and computer vision, focusing on training systems to generate accurate textual descriptions of images. This paper presents an advanced framework for image captioning using a dataset sourced from Kaggle. The process begins with pre-proces...

Bhargavi Polepalli, Praveen Kumar Sekharamantry, K. S. Rao · 0 citations

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