DIAGNOSIS OF CONVEYOR EQUIPMENT USING NEURAL NETWORK ALGORITHMS

Authors

Publication Details

Journal
Research Result Information Technologies
Published
2025-06-30
DOI
https://doi.org/10.18413/2518-1092-2025-10-2-0-8
Primary Topic
Belt Conveyor Systems Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DIAGNOSIS OF CONVEYOR EQUIPMENT USING NEURAL NETWORK ALGORITHMS

S. V. Chentsov, P.G. Krinitsin
Research Result Information Technologies
Belt Conveyor Systems Engineering
article

DIAGNOSIS OF CONVEYOR EQUIPMENT USING NEURAL NETWORK ALGORITHMS

S. V. Chentsov, P.G. Krinitsin
article en

Abstract

No abstract available for this paper.
Research Result Information TechnologiesVol. 10(2)
Affordable and clean energy
Openalex Percentile: Top 82%
Belt Conveyor Systems Engineering
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DIAGNOSIS OF CONVEYOR EQUIPMENT USING NEURAL NETWORK ALGORITHMS — S. V. Chentsov, P.G. Krinitsin · Research Result Information Technologies (2025) | TGRS Research Map | TGRS