Search Results - automated data processing series
Suggested Topics within your search.
Suggested Topics within your search.
- Automation 11
- Data processing 8
- Libraries 6
- Library science 5
- Microcomputers 3
- Office practice 3
- Electronic data processing 2
- Library information networks 2
- Accounting 1
- Business 1
- Chemical process control 1
- Computer networks 1
- Computers 1
- Data transmission systems 1
- Distributed processing 1
- Downloading 1
- Electronic equipment 1
- Library applications 1
- Machine-readable bibliographic data 1
- Mathematical models 1
- Metallurgical plants 1
- Metallurgy 1
- Mines and mineral resources 1
- On-line data processing 1
- Online catalogs 1
- Online data processing 1
- Uploading 1
-
1
-
2
-
3
-
4
-
5
-
6
RESEARCH OF TECHNICAL DATA MANAGEMENT AUTOMATION METHODS FOR DESIGN-ENGINEERING PREPARATION OF PRODUCTION AT LOW-VOLUME AND SERIES PRODUCTION ENTERPRISES
Published 2022-05-01“…This article is dedicated to solve the problem of automation of technical data management at low-volume and series production enterprises. …”
Get full text
Article -
7
-
8
-
9
-
10
-
11
-
12
-
13
-
14
Development of a Thermal Infrared Network for Volcanic and Environmental Monitoring: Hardware Design and Data Analysis Software Code
Published 2025-07-01“…The processing of TIR imagery is carried out using ASIRA (Automated System of InfraRed Analysis), a free software package, now developed for GNU Octave. …”
Get full text
Article -
15
Automated Monitoring of Human Physiological Parameters While Being in Virtual Reality
Published 2023-10-01Get full text
Article -
16
Application of business analysis tools in company management
Published 2023-05-01Get full text
Article -
17
-
18
-
19
Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach
Published 2025-12-01Get full text
Article -
20
MagPySV: A Python Package for Processing and Denoising Geomagnetic Observatory Data
Published 2018-09-01“…Abstract Measurements obtained at ground‐based observatories are crucial to understanding the geomagnetic field and its secular variation (SV). However, current data processing methods rely on piecemeal closed‐source codes or are performed on an ad hoc basis, hampering efforts to reproduce data sets underlying published results. …”
Get full text
Article