Lossless image compression techniques: A state-of-the-art survey

MA Rahman, M Hamada - Symmetry, 2019 - mdpi.com
Modern daily life activities result in a huge amount of data, which creates a big challenge for
storing and communicating them. As an example, hospitals produce a huge amount of data …

DFuzzer: diversity-driven seed queue construction of fuzzing for deep learning models

H Dai, CA Sun, H Liu, X Zhang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In light of high-performance computer processing, massive datasets, and mighty algorithms,
we are rapidly entering an age where the advanced deep learning (DL) capabilities are …

Wavelet transform for signal compression in sparse algorithms

Rosalin, NK Rout, DP Das - Proceedings of International Conference on …, 2021 - Springer
In this paper, the proportionate normalized least mean square (PNLMS) and its variants, µ-
law PNLMS (MPNLMS), improved PNLMS (IPNLMS), and filter PNLMS (FPNLMS) …