Despite significant advances in image denoising, most algorithms rely on supervised learning, with their performance largely dependent on the quality and diversity of training data.It is widely assumed that digital image distortions are caused by spatially invariant Additive White Gaussian Noise (AWGN).However, the Cutters analysis of real-world da

The COVID-19 pandemic Axle;Idler has led the world to undertake the largest vaccination campaign in human history.In record time, unprecedented scientific and governmental efforts have resulted in the acquisition of immunizers utilizing different technologies (nucleotide acids, viral vectors, inactivated and protein-based vaccines).Currently, 33 va

This study presents advancements in audio signal processing techniques, specifically in enhancing the efficiency of guitar chord recognition.It is a continuation of the previous studies, which also aim at minimizing the feature extraction length with the intended performance.This study adopted two signal processing techniques that are common: Discr

In this research, computational models of masonry arch bridges were constructed, Womens Jackets taking into account distinctive features such as span dimensions, height, and arch thickness, while the arch width was maintained as a constant parameter throughout the modeling process.The finite element analysis software, ANSYS version 16, was utilized