Abstract: Proper maintenance of Induction Machines (IM) is essential to ensure suitable performance, extend their service lifespan, and minimize the risk of catastrophic failures. Bearing failures are ...

In modern machine learning workflows, most signal processing tasks rely on Python's SciPy utilities. However, there is no Java library that replicates SciPy's behavior with comparable completeness and ...

Quantum computing is no longer a theoretical curiosity. It represents a paradigm shift in how information is processed, secured, and transmitted. As research advances from the noisy intermediate-scale ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

Abstract: Using the orthogonal transformation method, this paper presents the performance analysis of FFT, DHT, DCT, and DST for ECG data compression. When the heart muscle contracts or expands as a ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT. Zafar ...

In physiological signal analysis, identifying meaningful relationships and inherent patterns in signals can provide valuable information regarding subjects' physiological state and changes. Although ...