Pharmaceutical companies that manufacture, ship and supply products face difficulties in tracking their products, allowing counterfeiters to inject counterfeit drugs into the system. This situation is observed, particular, Russian market of turnover pharmaceutical although problem has long been global. The ability blockchain systems pinpoint origin data makes them particularly suitable for chain applications. stored distributed register on identification produced by plant, as well records...

AIM: to estimate the implementation of original method that uses artificial intelligence (AI) detect colorectal neoplasms. MATERIALS AND METHODS: we selected 1070 colonoscopy videos from our archive with 5 types lesions: hyperplastic polyp, serrated adenoma, adenoma low-grade dysplasia, high-grade dysplasia and invasive cancer. Then 9838 informative frames were selected, including 6543 Lesions annotated obtain data set was finally used for training a convolution al neural network (YOLOv5)....

The paper considers a problem of determining the user preferred stops in public transport recommender system. effectiveness using various machine learning methods to solve this system personalized recommendations is compared, including support vector method, decision tree, random forest, AdaBoost, k-nearest neighbors algorithm, and multi-layer perceptron. described traditional are also compared with method proposed herein based on an estimate calculation algorithm. efficiency confirmed work.

Autonomous vehicle development is one of many trends that will affect future transport demands and planning needs. vehicles management in the context an intelligent transportation system could significantly reduce traffic congestion level decrease overall travel time a network. In this work, we investigate route reservation architecture to manage road within urban area. The routing decomposes segments into spatial slots for every vehicle, it makes appropriate on selected route. This approach...

The paper presents the theoretical and algorithmic aspects for making a personalized recommender system (mobile service) designed public route transport users. main focus is on identifying formalizing concept of "user preferences", which basis modern systems. Informal (verbal) formal (mathematical) formulations corresponding problems determining preferences" in specific spatial-temporal context are presented: preferred stops definition "transport correspondence" definition. first task can be...

In this paper, we consider an anticipatory vehicle routing problem. We investigate the architecture of a multiagent system wherein each is represented by agent that interacts with road infrastructure. use route reservation approach, whereby reserves space-time slot on segments included in route. It makes it possible to predict load and estimate travel time higher accuracy. To time, proposed take into account stochastic properties network. not only average but also its variance. The approach...

The present work is devoted to comparing the accuracy of known qualification algorithms in task recognizing local objects on radar images for various image preprocessing methods. Preprocessing involves speckle noise filtering and normalization object orientation by method moments a based Hough transform. In comparison, following classification are used: Decision tree; Support vector machine, AdaBoost, Random forest. principal component analysis used reduce dimension. research carried out...

This work is aimed at comparing the classification algorithms and methods of machine learning with various preliminary processing radar images. Preprocessing step includes speckle noise filtering object orientation normalization on image. In comparison, following were considered: Decision Tree, Support Vector Machine, K Nearest-Neighbor method, Random Forest, AdaBoost where decision tree was used as a weak classifier, Convolutional Neural Network Residual Network. The principal component...

Recommender systems are becoming an intrinsic part of our lives. Currently, more and people using recommender to receive product or service recommendations. This became possible with the increasing power mobile devices, widespread use Internet accumulation data about user activity. The selection a suitable machine learning algorithm for system is difficult task due large number algorithms described in literature. even complicated specific systems, such as travel by public transport small...

Synthetic Aperture Radar (SAR) is an active microwave imaging radar to obtain target image. Due the character of robust performance under all-weather conditions and features reflection radio waves from various surfaces, SAR widely used in military civilian fields. In contrast optical images, due physical principle operation radar, multiplicative noise present images. This noise, also called speckle, significantly complicates classification objects The object orientation normalization applied...

Nowadays transport systems becomes more and complex. Therefore, passengers have difficulty with route planning due to the variety of possible ways get from starting point destination one. Since travel time often not considered as single main criteria by passengers, it is important ake into account their own preferences which may be very different. In this paper, we proposed a stochastic algorithm, considers user individual preferences. This method based on modified Dijkstra’s algorithm. The...