This paper presents a description of a real-world, multivariate time series dataset collected
from an anonymized engine component (called Component X) of a fleet of trucks from …

The discrepancy in the distribution of source and target domains is usually referred to as a
domain shift. It is one of the reasons for the inferior performance of machine learning …

This paper presents SurvLoss, a novel asymmetric partial loss and error calculation function
for survival analysis and regression, enabling the inclusion of censored samples. An …

Active learning has received considerable attention as an approach to obtain high predictive
performance while minimizing the labeling effort. A central component of the active learning …

Аннотация В 2024 году будут отмечать трёхсотлетие Российской академии наук. В
связи с этим возрастает необходимость осмысления вклада советских учёных в …

Using In-Vehicle Monitoring Data to Assess Road Conditions of Traffic Flows Page 1 194
SCIENCE AND ENGINEERING ABSTRACT Using In-Vehicle Monitoring Data to Assess Road …

Abstract Regressive Remaining Useful Life Prediction and Survival Analysis are two lines of
research with similar goals but different origins; one from engineering and the other from …

Recent advancements in computing, telecommunications, and metrology have propelled
data-driven decision making across the industries. Industrial health management in …

The new advances in Vehicular Systems and Technologies have resulted in a sheer
increase in the number of connected vehicles. These connected vehicles use IoT …

Developments in adaptive systems for maintenance and repair of automotive vehicles set
the task of monitoring the conditions of their operation. One of the main factors determining …