Pankhi Kashyap
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View article: Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance Open
Long-tailed problems in healthcare emerge from data imbalance due to variability in the prevalence and representation of different medical conditions, warranting the requirement of precise and dependable classification methods. Traditional…
View article: FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch Open
Federated learning faces a critical challenge in balancing communication efficiency with rapid convergence, especially for second-order methods. While Newton-type algorithms achieve linear convergence in communication rounds, transmitting …
View article: Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device Open
Fueled by the rapid development of machine learning (ML) and greater access to cloud computing and graphics processing units, various deep learning based models have been proposed for improving performance of ultrasonic guided wave structu…
View article: Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device
Unsupervised deep learning framework for temperature-compensated damage assessment using ultrasonic guided waves on edge device Open
Fueled by the rapid development of machine learning (ML) and greater access to cloud computing and graphics processing units (GPUs), various deep learning based models have been proposed for improving performance of ultrasonic guided wave …
View article: The effect of temperature on guided wave signal characteristics in presence of disbond and delamination for health monitoring of a honeycomb composite sandwich structure with built-in PZT network
The effect of temperature on guided wave signal characteristics in presence of disbond and delamination for health monitoring of a honeycomb composite sandwich structure with built-in PZT network Open
Guided wave (GW) based structural health monitoring (SHM) techniques being developed by researchers frequently use amplitude and group velocity variations between healthy and damage-affected GW modes to detect and localise damage. Nonethel…