Lip-reading classification has received a lot of interest in recent decades because it is widely
used in a variety of fields. It plays an important role in interpreting spoken words in noisy …

In this paper, we propose a new convolutional neural network (CNN) architecture for
improving document-image quality through decreasing the impact of distortions (ie, blur …

The electrocardiogram (ECG) signal is a kind of time-varying signal, which has the
characteristics and difficulties of variability, instability, and noise. Aiming at that, this paper …

One study whose importance has significantly grown in recent years is lipreading,
particularly with the widespread of using deep learning techniques. Lip reading is essential …

To increase the error tolerance when recognizing images, there must be some methods for
image filtering in the recognition network. Modern GPUs are very powerful at processing …

The significant computational costs and time associated with accurate simulation of physical
phenomena make the simulation of nonlinear systems based on differential equations …

This work aims to lip-read Bengali words from talking faces without using audio. Lip reading
for English words and sentences is well explored in literature. However, to our knowledge …

Aiming at the problem of pseudo-random sequence generation, this paper innovatively
introduces the generative confrontation network (GAN) into the pseudo-random sequence …

In this study of this research is to improve in accuracy for blast disease in rice crops using K-
Nearest Neighbour Algorithm and compared with Random Forest Algorithm. To predict the …

The purpose of the study is to evaluate how well two different edge detection techniques
differentiate between different guava leaf disease kinds. More specifically, a sample size of …