Titlebook: Information Technologies and Intelligent Decision Making Systems; Second International Arthur Gibadullin Conference proceedings 2023 The Ed

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Minimizing Defaultation in Lending Using Blockchain-Based Loan Management System,stems put lenders at risk of loan defaultation. However, in cryptocurrency lending, the value of the currency can fluctuate, resulting in the lender receiving less than the original lent amount when calculated in fiat or real-life currency. This research proposes using ERC-20 tokens as collateral to

污点

An Intelligent-Safe Network Traffic Distribution System in Cluster Mesh-Formations of Thermal-Technchnology systems. The rapid development of communications makes it possible to solve a number of automated exchange problems. However, insufficient development of intellectual separation cluster formations means and flexible traffic redirection leaves the safe management problem of technological com

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玩忽职守

Performance Analysis of Machine Learning Algorithm on Cloud Platforms: AWS vs Azure vs GCP,ne learning repository have been employed. This work utilizes the ML services of AWS Sage maker, Azure ML Studio and Google Big Query for conducting the experiments. Model evaluation criteria here include measuring R-squared values for each platform, calculating the error metrics (Mean Squared Error

Pde5-Inhibitors

bifurcate

Using Ensemble Machine Learning Methods for Regional Forecasting of Geocryological Manifestations (t into Biomod2, 4 algorithms were used: generalized linear model (GLM), generalized additive model (GAM), generalized boosting method (GBM), random forest (RF). Based on these algorithms, ensemble modeling was carried out. The results of predicting thermokarst activation for 2040 for ensemble models

coagulation

An Intelligent-Safe Network Traffic Distribution System in Cluster Mesh-Formations of Thermal-Techn of this system is the secure access to the required information due to direct p2p exchange between clients using a secure tunnel. Among other features of the system there is the encryption data approach using dynamic binary comparison in combination with methods of generating one-time pairs without

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Computer Research and Stabilization of Dynamic Models of Conveyor Systems,ng into account the parameters variability. The qualitative effects that arise as a result of changing the model parameters are studied. The software is developed in the Julia language using the Differential Equations and Plots libraries. The results of the article can be used in the problems of des