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System Engineering Development and Sustainability Applications

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 3114

Special Issue Editors

Department of Computer Architecture and Automation, University Complutense of Madrid, 28224 Madrid, Spain
Interests: artificial intelligence; computer vision; accessibility; climate change
Department of Computer Architecture and Automation, University Complutense of Madrid, 28224 Madrid, Spain
Interests: artificial intelligence; computer vision; accessibility; climate change
Department of Earth Physics and Astrophysics, University Complutense of Madrid, 28224 Madrid, Spain
Interests: polar vortex; polar night jet; climate change; stratospheric dynamics
Computer Science Faculty, University Complutense of Madrid, 28224 Madrid, Spain
Interests: artificial intelligence; computer vision; accessibility; climate change

Special Issue Information

Dear Colleagues,

The purpose of this Special Issue is to provide a discussion forum on the most recent and innovative works in the area of climate change and artificial intelligence (AI).

Studying the impact of climate change is of particular relevance not only for climate knowledge but also for tropospheric projections. Artificial intelligence provides a way to extract information from different climate models and combine the data in a such way that patterns are clearer, so that predictions can be inducted by machine learning, big data, IoT, computer vision, and so on.

Both academic researchers and industry practitioners are welcome to a forum where the focus will be on the discussion and exchange of ideas.

The topic attracts a great deal of attention, as shown by its continuous presence in prestigious conferences and journals.

Dr. María Guijarro Mata-García
Dr. Joaquín Recas
Dr. Blanca Ayarzaguena
Ms. María Rodríguez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate change
  • stratosphere
  • troposphere
  • sea ice loss
  • AI
  • machine learning
  • computer vision
  • IOT
  • big data

Published Papers (2 papers)

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Research

13 pages, 1203 KiB  
Article
Geometric and Topological Bases of a New Classification of Wood Vascular Tissues, Part 2: Classification of Vessels According to Their Grouping
by Nikolai Bardarov, Nicole Christoff and Vladislav Todorov
Sustainability 2022, 14(4), 2031; https://0-doi-org.brum.beds.ac.uk/10.3390/su14042031 - 11 Feb 2022
Viewed by 1252
Abstract
The arrangement of vessels and their grouping is unique in most tree species. When observing tiny, microscopic samples of wood, the arrangement of the wood vessels forms a characteristic and repetitive pattern, which is largely determined by the tree species, but it is [...] Read more.
The arrangement of vessels and their grouping is unique in most tree species. When observing tiny, microscopic samples of wood, the arrangement of the wood vessels forms a characteristic and repetitive pattern, which is largely determined by the tree species, but it is also influenced by the site conditions as well as its location in the tree. The present study is part of a project aimed at applying computer vision and computer recognition methods to present a more general and comprehensive group classification of wood vessels. Quantitative descriptions of the grouping of vessels, as a rule, have so far been used mainly to reveal characteristic deviations from the typical structure of wood, for example, due to extreme site conditions. Therefore, they are applicable but not sufficient for the present study and need in-depth revision. A classification of vessels is presented depending on their mutual position, and more precisely, the groups of adjacent vessels are determined using quantitative methods. The quantitative indicators used for this purpose are based on the diameter and other quantitative indicators of the vessels’ arrangements. The proposed classification, although based on a long-known classification scheme in structural wood science, allows for the more precise definition of the classes of a grouping of adjacent vessels in a cross-section as a necessary step towards the wider use of the methods of machine recognition of wood. Full article
(This article belongs to the Special Issue System Engineering Development and Sustainability Applications)
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13 pages, 3128 KiB  
Article
Geometric and Topological Bases of a New Classification of Wood Vascular Tissues Part 1: Shape and Arrangement Classifications of Vessels
by Nikolai Bardarov, Vladislav Todorov and Nicole Christoff
Sustainability 2021, 13(14), 7545; https://0-doi-org.brum.beds.ac.uk/10.3390/su13147545 - 06 Jul 2021
Cited by 2 | Viewed by 1321
Abstract
The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. [...] Read more.
The need to identify wood by its anatomical features requires a detailed analysis of all the elements that make it up. This is a significant problem of structural wood science, the most general and complete solution of which is yet to be sought. In recent years, increasing attention has been paid to the use of computer vision methods to automate processes such as the detection, identification, and classification of different tissues and different tree species. The more successful use of these methods in wood anatomy requires a more precise and comprehensive definition of the anatomical elements, according to their geometric and topological characteristics. In this article, we conduct a detailed analysis of the limits of variation of the location and grouping of vessels in the observed microscopic samples. The present development offers criteria and quantitative indicators for defining the terms shape, location, and group of wood tissues. It is proposed to differentiate the quantitative indicators of the vessels depending on their geometric and topological characteristics. Thus, with the help of computer vision technics, it will be possible to establish topological characteristics of wood vessels, the extraction of which would be used to develop an algorithm for the automatic classification of tree species. Full article
(This article belongs to the Special Issue System Engineering Development and Sustainability Applications)
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