M. Vanitha

SpectroRes-Former: A Spectral–Spatial Residual Transformer with Quantum–Fisher Feature Selection for Hyperspectral Land-Cover Classification

Proper land-cover and deforestation classification is crucial in environmental protection, sustainable land use, and climate change. Nevertheless, the current deep learning and remote sensing models are usually limited by poor spectral-spatial feature integration, high computational complexity, and poor feature selecti...

A Multi-Scale Residual Learning-Based Sequential Model for Hepatocellular Carcinoma Detection

An efficient HCC diagnosis model called MS-ResNet is designed by combining the proficiencies of deep learning and CT imaging in its process to detect HCC, but unlike other approaches, the new method can take advantage of multi-scale features to improve the overall efficiency of the diagnostic framework with the DL tech...

Designing of Secured and Optimized Routing Algorithm for Improving Network Lifetime in IIoT