The open wireless communication environment is vulnerable to various malicious attacks.
Wireless communication hardware devices have unique physical layer characteristics. As an …

The goal of this study is todetect Covid-19 by innovative speech recognition using Support
Vector Machine (SVM) and comparing its accuracy with Random Forest (RF). Speech …

The objective of the research aims to detect Covid-19 patients by innovative speech
recognition using a Support Vector Machine (SVM) and comparing accuracy with …

Speech recognition plays an important role in the field of human‐computer interaction
through the use of acoustic sensors, but speech recognition is technically difficult, has …

Human throat and mouth anatomy attribute to the uniqueness of a human voice, speech
patterns or in Mel Scale is called spectral centroids. In general, speeches frequencies differ …

The intensive computation of existing sound feature extraction and recognition algorithms
makes it difficult to work on edge computing devices with limited computation power. To …

Artificial neural networks (ANNs) is an exponentially growing field, mainly because of its
wide range of applications to everyday life such as pattern recognition or time series …

Sažetak Emotion is fundamental to interpersonal interactions since it assists mutual
understanding. Developing human-computer interactions and a related digital product …

The present paper studies the use of genetic algorithm to optimize the tuning of the
Proportional, Integral and Derivative (PID) controller. Two control criteria were considered …

Automatic classification of animal vocalizations, especially for estrus identification, plays a
crucial role in wildlife monitoring and conservation efforts. A comprehensive study on the …