IPACS Electronic library

CONTENTS

CONTENTS

Alexander Arguchintsev and Daniil Kopylov
Numerical solution of the initial-boundary value problem describing separation processes in a distillation column . . . . . . . . . . 169
Bolotbek Biibosunov, Baratbek Sabitov, Saltanat Biibosunova Zhamin Sheishenov, Sharshenbek Zhusupkeldiev, and Zhyldyz Mamadalieva
Machine learning for crop yield forecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174
Firuz Kamalov, Zahra Sayari, and Mehdi Gheisari
Routing algorithms in internet of things complex network with the role of machine learning . . . . . . . . . . . . . . 182
Boris Melnikov, Yulia Terentyeva, and Dmitrii Chaikovskii
Pseudogeometric version of the traveling salesman problem: application in quantum physics models and a heuristic variant of point placement. 194
Ian Schmidt, Elena Kotina, and Pavel Buev
Deep learning muscle segmentation model for CT images in DICOM format . . . . . . . . . . . . . . . . . . . . . . . . . . . 201
Alexey Smirnov and Konstantin Sarvilov
Controlled motion modes of a gyroscopic pendulum in a gimbal suspension . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207
Yulia Tsyganova and Andrey Tsyganov
Parameter identification of the linear discrete-time stochastic systems with unknown exogenous inputs . . . . 219
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