Titlebook: Reliability and Statistics in Transportation and Communication; Selected Papers from Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis Confe

拉開這車床

Augmented Reality Data Analysis for Human Needs: Subsistence, Protection, and Leisurety experiences based on human needs. An experiment is conducted, data analysis and predictive modelling techniques are applied to the Context-Aware Personalization for Augmented Reality (CAP-AR) dataset to achieve the research objectives. A reflection on the data requirements to predict human needs

CT-angiography

不易燃

Intellectual Analysis of Data on Defective Vehicle Units Using Association Rules useful nontrivial rules. Some rules obtained, which can be used by a repair worker promptly during the direct diagnostic process to identify possible breakdowns in associated parts. In addition, highly supported rules can be used by the supply chain to develop tactical solutions to select the most

legacy

The Neural Network Based Ontology Detection on Unstructured Data Flow work will be used in the future process of automation of railway management processes, which will eventually completely abandon manual labor in defectoscopy and move to a fully automated process to identify defects in the railway.

myelography

Urban Traffic Fingerprints: Identification of Forecasting-Critical Road Segmentsffic data from 1,915 road segments, which can be efficiently forecasted by traffic values from less than a hundred forecasting-critical segments. Obtained results allow comparing different approaches to select forecasting-critical road segment selection in terms of the predictor’s accuracy for diffe

Celiac-Plexus

Sum of Dependent Variables Generated by Alternating Poisson Flowflow with alternating intensity. It allows us apply Cohen’s results and get the expectation and the variance of the sum of dependent variables, having such number of the summands. Numerical calculations illustrate gotten results.

HEED

明確

Statistics and Investigation of CF6 Jet Engines Hot Section Failuresture (EGT) margin as one of the most important engines’ performance deterioration indicators. All available and possible engine parameters were used throughout the analysis, such as but not limited to engine fan speeds, engine oil pressure and temperature, fuel flow, vibration, and EGT. The analysis

fiction

Models of Decision Support for Aircraft Maintenance Related to Repainting Processd safety for aircraft maintenance related to repainting process. Based on the experiments performed, the search of optimal decision support model regarding the paint removal method selection is provided in conclusion of this article.

Spinal-Fusion

Comparative Statistical Analysis of Airport Flight Delays for the Period 2019–2020. Almaty Internativer their hidden reserves. This enables air operators to minimize losses associated with downtime, the damage to corporate reputation and financial losses paid against delay in accordance with The Montreal Convention and/or EU Regulation No. 261/2004.