Automation, Operation and Maintenance of Control and Communication Systems-Reference-Cited by-同舟云学术

Automation, Operation and Maintenance of Control and Communication Systems

Published:2023-07-18 Issue:14 Volume:12 Page:3119
ISSN:2079-9292
Container-title:Electronics
language:en
Short-container-title:Electronics

Author:

Szymak Piotr¹^ORCID,Piskur Paweł¹^ORCID,Hożyń Stanisław¹^ORCID

Affiliation:

1. Polish Naval Academy, Federation of Military Academies, 81-127 Gdynia, Poland

Abstract

The special issue is devoted to selected papers, which results of the research were presented during the XVIII Conference on Automation, Operation and Maintenance of Control and Communication Systems ASMOR 2022. The conference was conducted from the 12th to the 14th of October 2022 in Władysławowo, Poland. The scope of the conference is quite wide, focusing mainly on automation and exploitation aspects of the control and communications systems. Due to the specified scope of the Electronics, only the papers selected by the ASMOR Scientific Committee and the Electronics Editors were published after an extensive reviewing and revising process.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Link

https://www.mdpi.com/2079-9292/12/14/3119/pdf

Reference14 articles.

1. Kot, R. (2022). Review of Collision Avoidance and Path Planning Algorithms Used in Autonomous Underwater Vehicles. Electronics, 11.

2. Gąsiorowski, M., Szymak, P., Patryn, A., and Naus, K. (2022). Monitoring Time-Non-Stable Surfaces Using Mobile NIR DLP Spectroscopy. Electronics, 11.

3. Buratowski, T., Garus, J., Giergiel, M., and Kudriashov, A. (2022). Real-Time 3D Mapping in Isolated Industrial Terrain with Use of Mobile Robotic Vehicle. Electronics, 11.

4. Lazarowska, A., and Żak, A. (2022). A Concept of Autonomous Multi-Agent Navigation System for Unmanned Surface Vessels. Electronics, 11.

5. Praczyk, T. (2022). Hill-Climb-Assembler Encoding: Evolution of Small/Mid-Scale Artificial Neural Networks for Classification and Control Problems. Electronics, 11.

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