Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...
IEEE

Cyclic Learning Rate-Based Co-Training for Image Classification With Noisy Labels

Abstract: Deep learning has excelled in image classification, but noisy labels in large datasets pose a significant challenge, impacting performance and generalization. To tackle this, we propose a ...
IEEE

Multi-Classification of Linguistic Steganography Driven by Large Language Models

Abstract: In linguistic steganalysis (LS), the fundamental requirement is to detect steganographic text (stego) effectively, and existing LS methods have shown excellent detection performance even in ...