Convolutional neural networks (CNNs) are one of the main types of neural networks used for
image recognition and classification. CNNs have several uses, some of which are object …

In recent years, deep learning technology has been used in various sectors. Deep learning
has developed human-like abilities, such as knowledge learning, problem-solving, and …

There are several methods that have been discovered to improve the performance of Deep
Learning (DL). Many of these methods reached the best performance of their models by …

Анотація This paper explores the potential of using convolutional neural networks (CNN) for
emotion recognition in marketing research of advertising. Discusses how CNN can be …

Анотація The paper deals with the actual tasks of computer vision–recognition and
classification of objects in images. Deep learning methods based on neural networks are …

Анотація This paper explores the possibility of using various convolutional neural network
models to recognize handwritten Arabic characters. It discusses which of the existing …

The demand for noncontact breathing and heart rate measurement is increasing. In addition,
because of the high demand for medical services and the scarcity of on-site personnel, the …

With the dramatic progress of wearable devices, continuous collection of single lead ECG
wave is able to be implemented in a comfortable fashion. Data mining on single lead ECG …

In recent years, artificial intelligence (AI) has piqued the curiosity of researchers.
Convolutional Neural Networks (CNN) is a deep learning (DL) approach commonly utilized …

Over the last several years, the impact of Artificial Intelligence on the world and on society
has been undeniable. More specifically, a subfield, known as Machine Learning (ML), is …