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Integrated approach for monitoring of sagd wells efficiency basing on the optical fiber temperature sensing and geochemical monitoring of production. In this paper, the joint use of the results of DTS and an innovative approach based on geochemical monitoring

A Machine Learning-Based Intelligent Vehicular System (IVS) for Driver’s Diabetes Monitoring in Vehicular Ad-Hoc Networks (VANETs) a novel approach to the health care of drivers’ diabetes monitoring using wearable sensors, machine

THE MANAGEMENT STRUCTURE OF DIGITAL EDUCATIONAL DATA SYSTEMS AND ORGANIZATIONAL APPROACHES TO MODELING AND ANALYSIS OF EDUCATIONAL DATA IN THE COUNTRIES OF THE WORLDTHE MANAGEMENT STRUCTURE OF DIGITAL EDUCATIONAL DATA SYSTEMS AND ORGANIZATIONAL APPROACHES

Service Business Model - a New Approach to Improving Efficiency in the Digital EconomyService Business Model - a New Approach to Improving Efficiency in the Digital Economy

Diurnal Monitoring of Moisture Content of Scots Pine and Small-Leaved Lime Trunks Using Ground Penetrating Radar (GPR) and Increment Cores tomography approach to estimate moisture content within two small-leaved lime (Tilia cordata) and two Scots

New approach to comparing nsaid efficacy by long-term monitoring of experimental inflammation models of formalin edema (in contrast to carrageenan edema) in mice. We propose a new approach to evaluation

Economic Optimization and Evolutionary Programming When Using Remote Sensing Data can be used for the methods of the evaluation of remote sensing approaches. Remote sensing approaches

METHODOLOGY FOR STAFF MONITORING OF TRADITIONAL AND NEW ECONOMIC SECTORS OF THE REGION. The purpose of the study is to justify the parameters for monitoring of staffing needs for making management

METHODOLOGY FOR STAFF MONITORING OF TRADITIONAL AND NEW ECONOMIC SECTORS OF THE REGION. The purpose of the study is to justify the parameters for monitoring of staffing needs for making management

Determination of moment tensor and location of microseismic events under conditions of highly correlated noise based on the maximum likelihood method of strongly correlated noise. This is a typical problem occurring in monitoring of microseismic events from a

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