Decision tree and support vector machine for anomaly detection in water distribution networks

D Jalal, T Ezzedine - 2020 International Wireless …, 2020 - ieeexplore.ieee.org
Drinking water quality monitoring is essential these days as the available water may be
affected by pollution and can cause several diseases. Hence, it's necessary to prevent any …

Design and implementation of a remote monitoring human health system

W Yue, LI Voronova, VI Voronov - … Processing in the Field of on …, 2020 - ieeexplore.ieee.org
Information technology of the Internet of things is actively implemented in all spheres of
human life. One of the main directions, in addition to IIoT and Smart City, is Smart …

Toward a smart real time monitoring system for drinking water based on machine learning

D Jalal, T Ezzedine - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Drinking-water distribution systems facilitate to carry portable water from water resources
such as reservoirs, river, and water tanks to industrial, commercial and residential …

Neural network classification of cardiac activity based on cardiogram data for driver support system

VR Brus, LI Voronova… - … processing in the field of on …, 2020 - ieeexplore.ieee.org
The article describes the use of neural network technologies for predicting humans heart
activity within healthcare wireless systems. Developing algorithm could become a part of …

[HTML][HTML] Designing a neural network identification subsystem in the hardware-software complex of face recognition

VI Voronov, IA Zharov, AD Bykov… - T-Comm …, 2020 - cyberleninka.ru
With the development of information technologies the popularity of access control systems
and personal identification systems is growing. One of the most common methods of access …

Web Application Development for Biometric Identification System Based on Neural Network Face Recognition

AD Bykov, VI Voronov, LI Voronova… - 2020 Systems of …, 2020 - ieeexplore.ieee.org
The article describes the structural analysis of the developed biometric identification
complex with a description of the architecture of the complex and its hardware and software …

Data-driven IoT-based water quality monitoring and potability classification system in rural areas

MI Alipio - 2020 International Conference on Information and …, 2020 - ieeexplore.ieee.org
Access to a safe and sustainable water source is a major problem especially in rural areas
of developing countries. Water monitoring in different water resources has been practiced to …

Performance analysis of machine learning algorithms for water quality monitoring system

D Jalal, T Ezzedine - … on Internet of Things, Embedded Systems …, 2019 - ieeexplore.ieee.org
Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with
the design and development of algorithms that allow computers to evolve behaviors based …

[HTML][HTML] Интеграция унаследованных приложений в экосистему научных исследований" ЭНИ"

АС Трунов, ВИ Воронов… - T-Comm …, 2020 - cyberleninka.ru
В статье описывается разработка цифровой платформы для экосистемы научных
исследований" Эни", основанной на микросервисном подходе, обеспечивающем …

Long-term evaluation of machine learning based methods for air emission monitoring

M Si, BM Wiens, K Du - Environmental Management, 2024 - Springer
Abstract Machine learning (ML) techniques have been researched and used in various
environmental monitoring applications. Few studies have reported the long-term evaluation …