Vignan's Foundation for Science, Technology & Research

Dynamic interaction and energy redistribution in shared DC-link multi-output CC–CV flyback converters fed by an MPC-controlled boost PFC

Abstract Multi-output Constant Current–Constant Voltage (CC–CV) power conversion systems are increasingly employed in battery charging applications because they enable multiple charging channels to operate from a common Direct Current (DC)-link. However, the dynamic interaction a...

Parallel spatial cross attention ensembled deep learning model for lung cancer diagnosis and classification using computed tomography images

Lung cancer is considered one of the deadliest cancer types, which affects the respiratory system severely. Globally, the rate of morality is increasing every year due to the lack of diagnosis of lung cancer at its early stage. Thus, lung cancer detection and classification are e...

A Transmuted Half-logistic Distribution with Trigonometric Transformation: Properties and Applications

This article introduces a novel transmuted half-logistic distribution by incorporating trigonometric functions into its transformation structure. The proposed distribution extends the classical half-logistic model, enhancing its effectiveness in capturing skewness and heavy-tail...

Swin-DAFU: denoising-augmented feature fusion unit for breast lesion segmentation and classification in 2D mammograms

Breast lesion segmentation and benign/malignant classification from 2D mammographic images remain challenging because lesion boundaries are often subtle, irregular, and affected by variations in breast density, image contrast, and acquisition conditions. This study presents Swin-...

Digital-twin-enabled reinforcement learning for energy-efficient and reliability-aware software-defined electric vehicles

Software-defined electric vehicles (SDEVs) require intelligent control frameworks that simultaneously optimize energy efficiency and powertrain reliability. However, existing studies typically treat reinforcement learning, digital twins, and predictive health monitoring as separa...