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A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov–Smirnov bounds
Kovalev M.S.
for explaining machine learning survival models. The algorithm is developed to ensure robustness to cases of a
Joint decision-making of parallel machine scheduling restricted in job-machine release time and preventive maintenance with remaining useful life constraints
He, X., Wang, Z., Li, Y., Khazhina, S., Du, W., Wang, J., Wang, W.
The machine remaining useful life (RUL), the job-machine release time and the correlation between
Машиночитаемое право и его роль в функционировании маркетплейсов
Аксенов В.А., Одинцов С.В.
at developing approaches to the legal understanding of the phenomenon of machine-readable law. The article
On Quantum Fingerprinting and Quantum Cryptographic Hashing,
Ablayev Farid Mansurovich, Ablayev Marat Faridovich
Machine learning and lambda architecture methods application to optimize postgresql database performance
Sharayeu, Y.
Here is described the application of methods of optimizing POSTGRESQL database using machine
Comparative analysis of Machine and deep Learning Algorithms in semantic analysis
Staradubets, A.
The article compare different approaches as machine learning and deep learning in semantic analysis
Machine learning: future innovations
Abu Halawa, I. M.
The paper explores machine learning impact across sectors like healthcare, digital experiences
Heavy tails and asymmetry of returns in the Russian stock market
Ankudinov A., Ibragimov R., Lebedev O.
Log-log rank-size regression
Accounting for the influence of logging tool decentering in acoustic logging data processing
Kosarev V., Gorgun V., Gorbachev V., Mikheev M.
It was carried out the processing of research results of acoustic logging sector equipment
Features and methodological aspects of well logging for natural bitumen
Petrov S., Borisov A., Mukhametshin R., Borovskiy M.
logging techniques for investigating of the Permian hydrocarbons deposits in the deep wells. We consider

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