A variety of advanced machine learning and deep learning algorithms achieve state-of-the-
art performance on various temporal processing tasks. However, these methods are heavily …

Low latency and low energy consumption are the indispensable characteristics of Edge
Computing applications. With the fusion of Edge Computing and Artificial Intelligence (AI) …

This paper is related to the study of the features of the neural technologies' application, in
particular, ResNet neural networks for the classification of objects in photographs. The work …

This paper is related to the recognition of certain components in images using machine
learning methods and mobile technologies. The main result of this work is a developed …

The anomaly detection of electrocardiogram (ECG) data is crucial for identifying deviations
from normal heart rhythm patterns and providing timely interventions for high-risk patients …

Currently, there are a large number of publications and systems for recognizing and
classifying objects in photos using neural technologies. Such objects can be cars, people …

In this difficult time, many companies and corporations have been able to properly adapt and
develop whole systems to preserve people's health and ensure their safety. Scientists and …