The electrochemical biosensors are a class of biosensors which convert biological
information such as analyte concentration that is a biological recognition element …

Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …

This study proposes two techniques: Deep Learning (DL) and Ensemble Deep Learning
(EDL) to predict groundwater level (GWL) for five wells in Malaysia. Two scenarios were …

Modern speech enhancement algorithms achieve remarkable noise suppression by means
of large recurrent neural networks (RNNs). However, large RNNs limit practical deployment …

Obfuscated Memory Malware (OMM) presents significant threats to interconnected systems,
including smart city applications, for its ability to evade detection through concealment …

A smart city is a city that binds together technology, society, and government to enable the
existence of a smart economy, smart mobility, smart environment, smart living, smart people …

In real-time applications, the aim of speech enhancement (SE) is to achieve optimal
performance while ensuring computational efficiency and near-instant outputs. Many deep …

Speech enhancement based on statistical models has been studied for several decades.
Recently, the speech enhancement adopting a speech power spectral density (PSD) …

Many studies on deep learning-based speech enhancement (SE) utilizing the computational
auditory scene analysis method typically employs the ideal binary mask or the ideal ratio …

Improving subjective sound quality of enhanced signals is one of the most important
missions in speech enhancement. For evaluating the subjective quality, several methods …