Special Issue "Landscape Based Land Solutions and Big Data"
A special issue of Land (ISSN 2073-445X).
Deadline for manuscript submissions: 30 April 2024 | Viewed by 8112
Interests: big data; virtualization; AI; shipbuilding industry; shipping industry; Industry 4.0
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One of the most important issues in the development process of a city is creating a visually pleasing environment, and residents are increasingly demanding a high-quality landscape/urbanscape as well. Even though there have been a series of micro-perspective research works in city planning, civil engineering, and architecture, the necessity of research on satisfying the human sensibility land studies reflect is rising, providing a great effect.
Meanwhile, in the Landscape is defined as the features of a local environment created in residents’ daily lives and can be natural or artificial, whereas the dictionary definition states that it is the natural or cultural scenery characterizing the views above the surface.
Although the definition may vary between researchers depending on which area(s) they are placing academic significances, this Special Issue (SI) defines landscape as “The scenes or surrounding environment of space where people are living, including a physical environment embodying the structures, outdoor signboards, atmosphere, and surrounding environment.
Meanwhile, big data technology helps us to have an overview of the complex worldly affairs by deriving meaningful value from a huge dataset that was previously seemingly impossible to analyze, consisting of either structured or unstructured data, or both.
Thus, in this SI, we aim to start a discussion about a basic convergent study that would contribute to humanity by respecting human beings and their lives, while aiding and serving neglected or isolated people. For this purpose, this SI is open to receiving a variety of meaningful and valuable manuscripts concerning the purpose of solving this healthcare issue with electronic solutions. Participants may write about one of the subjects listed below, but need not be limited to them.
> Land solutions to artificial intelligence and big data;
> Land solutions respecting human beings and their lives;
> Means of aiding and serving neglected people such as the disabled or elderly;
> Landscape/urbanscape mathematical theories that deeply affect science and industry;
> Landscape/urbanscape intelligent media techniques and services for land systems;
> A public landscape/urbanscape system for future systems.
Prof. Dr. Jun-Ho Huh
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. Land is an international peer-reviewed open access monthly 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 2600 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.
- big data
- data science
- land solution
- future systems