Andrey Nechaevskiy
YOU?
Author Swipe
View article: Development of advanced intrusion detection approach using machine and ensemble learning for industrial internet of things networks
Development of advanced intrusion detection approach using machine and ensemble learning for industrial internet of things networks Open
View article: Advancing Lymphoma Diagnosis in Histopathology Image Classification Using Multi Deep Learning Models
Advancing Lymphoma Diagnosis in Histopathology Image Classification Using Multi Deep Learning Models Open
View article: Development of a computational environment for mathematical modeling of superconducting nanostructures with a magnet
Development of a computational environment for mathematical modeling of superconducting nanostructures with a magnet Open
View article: ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research
ML/DL/HPC Ecosystem of the HybriLIT Heterogeneous Platform (MLIT JINR): New Opportunities for Applied Research Open
The work presents the possibilities for using the ML/DL/HPC ecosystem deployed on the HybriLIT Heterogeneous Platform (Meshcheryakov Laboratory of Information Technologies JINR) on top of JupyterHub, which provides opportunities for solvin…
View article: Deep learning for track recognition in pixel and strip-based particle detectors
Deep learning for track recognition in pixel and strip-based particle detectors Open
The reconstruction of charged particle trajectories in tracking detectors is a key problem in the analysis of experimental data for high-energy and nuclear physics. The amount of data in modern experiments is so large that classical tracki…
View article: VIRTUAL RESEARCH ENVIRONMENT NANOHLIT FOR HYBRID NANOSTRUCTURES RESEARCH ON THE HYBRILIT PLATFORM
VIRTUAL RESEARCH ENVIRONMENT NANOHLIT FOR HYBRID NANOSTRUCTURES RESEARCH ON THE HYBRILIT PLATFORM Open
The paper describes the main components of the NANOHLIT virtual research environment (VRE),developed as part of the joint MLIT and BLTP JINR project, for physical processes modeling incomplex systems based on Josephson Junctions. VRE is de…
View article: NEURAL NETWORK APPROACH TO THE PROBLEM OF IMAGE SEGMENTATION FOR MORPHOLOGICAL STUDIES
NEURAL NETWORK APPROACH TO THE PROBLEM OF IMAGE SEGMENTATION FOR MORPHOLOGICAL STUDIES Open
The report presents the results on the development of the algorithmic block of the Information System(IS) for radiobiological studies, created within a joint project of MLIT and LRB JINR, in terms ofsolving the segmentation problem for mor…
View article: DEEP LEARNING APPLICATION FOR IMAGE ENHANCEMENT
DEEP LEARNING APPLICATION FOR IMAGE ENHANCEMENT Open
Recently, deep learning has obtained a central position toward our daily life automation and deliveredconsiderable improvements as compared to traditional algorithms of machine learning. Enhancing ofimage quality is a fundamental image pro…
View article: One-shot learning with triplet loss for vegetation classification tasks
One-shot learning with triplet loss for vegetation classification tasks Open
Triplet loss function is one of the options that can significantly improve the accuracy of the One-shot Learning tasks. Starting from 2015, many projects use Siamese networks and this kind of loss for face recognition and object classifica…
View article: An effective segmentation approach for liver computed tomography scans using fuzzy exponential entropy
An effective segmentation approach for liver computed tomography scans using fuzzy exponential entropy Open
Accurate segmentation of liver plays important in contouring during diagnosis and the planning of treatment. Imaging technology analysis and processing are wide usage in medical diagnostics, and therapeutic applications. Liver segmentation…
View article: Deep learning methods for the plant disease detection platform
Deep learning methods for the plant disease detection platform Open
We introduce the Plant Disease Detection Platform (PDDP) that allows users to send photos of sick plant leaves or textual descriptions of their appearance to obtain information about an infection that hit the vegetation and treatment tips.…
View article: One-Shot Learning with Triplet Loss for Vegetation Classification Tasks
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks Open
Triplet loss function is one of the options that can significantly improve the accuracy of the One-shot Learning tasks. Starting from 2015, many projects use Siamese networks and this kind of loss for face recognition and object classifica…
View article: Tracking on the BESIII CGEM inner detector using deep learning
Tracking on the BESIII CGEM inner detector using deep learning Open
Реконструкция траекторий заряженных частиц в трековых детекторах является ключевой проблемой анализа экспериментальных данных для физики высоких энергий и ядерной физики. Поток данных в современных экспериментах растет день ото дня, и трад…
View article: Разработка виртуальной исследовательской среды для моделирования на платформе HybriLIT физических процессов в системах, основанных на джозефсоновских переходах
Разработка виртуальной исследовательской среды для моделирования на платформе HybriLIT физических процессов в системах, основанных на джозефсоновских переходах Open
В статье описывается разработка виртуальной исследовательской среды (ВИС) для решения задач математического моделирования сверхпроводниковой электроники и спинтроники, которые являются интенсивно развивающимися областями физики конденсиров…
View article: Deep Siamese Networks for Plant Disease Detection
Deep Siamese Networks for Plant Disease Detection Open
Crop losses are a major threat to the wellbeing of rural families, to the economy and governments, and to food security worldwide. The goal of our research is to develop a multi-functional platform to help the farming community to tilt aga…
View article: A Probabilistic Approach to the Simulation of Data Processing Centers
A Probabilistic Approach to the Simulation of Data Processing Centers Open
The simulation of a data center for the storage and processing of data from the NICA detectors is an important step towards the creation of the NICA computing system. A model developed in the frame of the probabilistic approach to the solu…
View article: Advanced Scheduling in IaaS Clouds
Advanced Scheduling in IaaS Clouds Open
The complexity of modern software libraries and applications makes it hard to predict possible workloads generated by the software that may lead to significant underutilization of hardware in Infrastructure-as-a-Service (IaaS) clouds. In t…
View article: Simulation approach for improving the computing network topology and performance of the China IHEP Data Center
Simulation approach for improving the computing network topology and performance of the China IHEP Data Center Open
The paper describes the project intended to improve the computing network topology and performance of the China IHEP Data Center taking into account growing numbers of hosts, experiments and computing resources. The analysis of the computi…
View article: Service for parallel applications based on JINR cloud and HybriLIT resources
Service for parallel applications based on JINR cloud and HybriLIT resources Open
Cloud computing has become a routine tool for scientists in many fields. The JINR cloud infrastructure provides JINR users with computational resources to perform various scientific calculations. In order to speed up achievements of scient…
View article: Simulation of interprocessor interactions for MPI-applications in the cloud infrastructure
Simulation of interprocessor interactions for MPI-applications in the cloud infrastructure Open
А new cloud center of parallel computing is to be created in the Laboratory of Information Technologies (LIT) of the Joint Institute for Nuclear Research JINR) what is expected to improve significantly the efficiency of numerical calculati…
View article: Optimization of Distributed Data Processing System for NICA BM@N Experiment by Using Simulation
Optimization of Distributed Data Processing System for NICA BM@N Experiment by Using Simulation Open
Superconducting accelerator complex NICA is now in a developing stage at the Joint Institute for Nuclear Research1 (JINR). The development of the NICA computing complex is carried out at the JINR's Laboratory of Information Technologies (L…
View article: Implementing, Evaluating and Extending the Model of LIT Cloud Infrastructure at JINR
Implementing, Evaluating and Extending the Model of LIT Cloud Infrastructure at JINR Open
The project is aimed at modelling of LIT Cloud Infrastructure at the Joint Institute for Nuclear Research (JINR) and solving a problem of effective migration algorithms considering virtual machines deployment at the facilities. The main in…
View article: The JINR Tier1 Site Simulation for Research and Development Purposes
The JINR Tier1 Site Simulation for Research and Development Purposes Open
Distributed complex computing systems for data storage and processing are in common use in the majority of modern scientific centers. The design of such systems is usually based on recommendations obtained via a preliminary simulated model…
View article: Synthesis of the simulation and monitoring processes for the development of big data storage and processing facilities in physical experiments
Synthesis of the simulation and monitoring processes for the development of big data storage and processing facilities in physical experiments Open
The paper presents a new grid and cloud services simulation system. This system is developed in LIT JINR, Dubna, and it is aimed at improving the efficiency of the grid-cloud systems development by using work quality indicators of some rea…
View article: Web-Service Development of the Grid-Cloud Simulation Tools
Web-Service Development of the Grid-Cloud Simulation Tools Open
A new system for grid and cloud services simulation is presented. The system is focused on improving efficiency of the grid/cloud systems development by using quality indicators of some real system to design and predict its evolution. For …