The electrocardiogram, also known as an electrocardiogram (ECG), is considered to be one
of the most significant sources of data regarding the structure and function of the heart. In …

Studies carried out by researchers show that data growth can be exploited in such a way
that the use of deep learning algorithms allow predictions with a high level of precision …

The potential of technology to revolutionize healthcare is exemplified by the synergy
between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the …

X‐ray images aid medical professionals in the diagnosis and detection of pathologies. They
are critical, for example, in the diagnosis of pneumonia, the detection of masses, and, more …

A machine vision system based on a convolutional neural network (CNN) was proposed to
sort Amomum villosum using X-ray non-destructive testing technology in this study. The …

Convolutional neural network (CNN) is the most widely used structure-building technique for
deep learning models. In order to classify chest x-ray pictures, this study examines a number …

The aim of this study is to demonstrate the effect of particle size on semiconductor
properties; artificial intelligence is being used for the research methods. As a result, we …

Tuberculosis is an infectious disease with symptoms similar to those of Covid-19, such as
fever, cough, and shortness of breath. Based on the existing cases, these two diseases …

Use of deep learning in medical healthcare is a rapidly developing sector. Training a deep
learning model requires huge amount of data. As individual Hospital does not have …

The choice of activation functions is very important in deep learning. This is because
activation functions are capable of capturing non-linear patterns in a data. The most popular …