Speech-in-noise perception is an important research problem in many real-world multimedia
applications. The noise-reduction methods contributed significantly; however rely on a priori …

Denoising a single-channel speech (recorded using one microphone) remains an open
problem in many speech-related applications. Recently, supervised deep learning methods …

Surface electromyography (sEMG) signals are often mixed with a large amount of noise
during the process of acquisition, and to accurately extract the signal characteristics, it is …

The Maclaurin symmetric mean (MSM) and dual Maclaurin symmetric mean (DMSM)
operators are two aggregation operators to aggregate the cubic Pythagorean linguistic fuzzy …

The estimation of the Ideal Binary Mask (IBM) based on speech cochleagram and visual
cues were carried out in this paper to improve the speech intelligibility and quality using an …

The issue whether return in the stock market is predictable remains ambiguous. This paper
attempts to establish new return forecasting models in order to contribute on addressing this …

The massive volume of data limits the use of data on portable devices like mobile phones,
as well as memory-limited devices like video game consoles. As a result, the demand for …

Face recognition is the most interesting and wide area of research over the past few
decades. This research work proposes the effective virtual image representation and …

The main function of the Spark system is to measure the storage capacity of the computer. It
uses the software inside the system to accelerate and upgrade. It runs under the influence of …

Artificial intelligence and its subparts (like evolutionary algorithms, machine learning, ...,…)
are search methods that can be used for solving optimization problems. A particular class of …