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Symmetry
Special Issues
Information Technologies and Electronics: Volume 3
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Information Technologies and Electronics: Volume 3

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 1463

Special Issue Editor

Prof. Dr. Alexander Shelupanov

E-Mail Website
Guest Editor
Department of Complex Information Security of Computer Systems, University of Control Systems and Radioelectronics, Lenin Ave, 40, Tomskaya Oblast, 634050 Tomsk, Russia
Interests: theory and practice of complex information security systems; information security, mathematical modeling of difficult systems; algorithms of processing of big data
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is intended as a natural extension of the previous Special Issues, entitled, "Information Technologies and Electronics", and "Information Technologies and Electronics Ⅱ" , aims to highlight recent advances in:

  • mathematical modeling in control systems;
  • information security;
  • the Internet of Things (IoT);
  • robotics;
  • big data;
  • machine learning;
  • artificial intelligence;
  • automated systems for data processing and control;
  • telecommunications;
  • next-generation communication and telecommunication systems;
  • electronics;
  • and other areas of interest associated with Information Technologies and Electronics.

We welcome articles that present good mathematical or experimental outcomes and a strong substantiation of conclusions and results, and analytical reviews of relevant scientific topics. Submissions are expected to contain original content and have clear scientific novelty. 

Prof. Dr. Alexander Shelupanov
Guest Editor

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. Symmetry 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 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.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

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Research

34 pages, 10825 KiB  
Article
POI Route Recommendation Model Based on Symmetrical Naive Bayes Classification Spatial Accessibility and Improved Cockroach Swarm Optimization Algorithm
by Xiao Zhou, Zheng Zhang, Xinjian Liang and Mingzhan Su
Symmetry 2024, 16(4), 424; https://doi.org/10.3390/sym16040424 - 3 Apr 2024
Cited by 1 | Viewed by 900
Abstract
The commonly used POI route recommendation methods usually ignore the effects of tourists’ interests and transportation geographical conditions, and so may not output the optimal results. To solve the problems, we propose a POI route recommendation model based on symmetrical Naive Bayes classification [...] Read more.
The commonly used POI route recommendation methods usually ignore the effects of tourists’ interests and transportation geographical conditions, and so may not output the optimal results. To solve the problems, we propose a POI route recommendation model based on symmetrical Naive Bayes classification spatial accessibility (NBCSA) and an improved cockroach swarm optimization algorithm (ICSOA), aiming to recommend POI routes that satisfy tourists’ interests and have the lowest travel costs under tourism transportation geographical conditions. Using the historical POIs visited by tourists as the training set, we construct an improved symmetrical Naive Bayes classification algorithm (NBCA), and the POIs in the destination city are divided into categories by tourists’ preferences. Then we propose an improved NBCSA model to calculate the spatial accessibility field strength (SAFS) for each category’s POIs. Based on the recommended POIs, we propose the ICSOA to recommend optimal POI routes. The experiment verifies that the proposed algorithm can effectively classify the POIs and recommend POIs that best match the tourists’ interests and produce the lowest travel costs. Compared with the TCA and GDA method, the proposed algorithm can output the POI routes with lower travel costs and has higher algorithm execution efficiency. Among the output optimal routes, the proposed algorithm can reduce costs by 5.62% at the lowest and 52.25% at the highest. Full article
(This article belongs to the Special Issue Information Technologies and Electronics: Volume 3)
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