• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2019
    • vol. 5, nº 7, december 2019
    • Ver ítem
    •   Inicio
    • UNIR REVISTAS
    • Revista IJIMAI
    • 2019
    • vol. 5, nº 7, december 2019
    • Ver ítem

    Editor’s Note

    Autor: 
    González-Crespo, Rubén
    ;
    Verdú, Elena
    Fecha: 
    12/2019
    Palabra clave: 
    editors note; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/12663
    DOI: 
    http://doi.org/10.9781/ijimai.2019.10.006
    Dirección web: 
    https://www.ijimai.org/journal/bibcite/reference/2739
    Open Access
    Resumen:
    The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI (ISSN 1989 - 1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. After its recent tenth anniversary, the journal has achieved an important milestone. From 2015 to 2018 IJIMAI was indexed at Web of Science through Emerging Science Citation Index. This meant a great increase in visibility and number of received papers. This year, Clarivate Analytics has accepted the inclusion of IJIMAI in the Journal Citation Reports. Specifically, IJIMAI is being indexed and abstracted in Science Citation Index Expanded, Journal Citation Reports/Science Edition and Current Contents®/Engineering Computing and Technology. The Web of Science Categories in which IJIMAI is included are “Computer Science, Artificial Intelligence” and “Computer Science, Interdisciplinary Applications”. This way, IJIMAI is indexed in Science Citation Index Expanded beginning with vol.4(3) March 2017 so that the journal will be listed in the 2019 Journal Citation Reports with a Journal Impact Factor when released in June 2020. Given this great achievement, IJIMAI Editorial Board has to thank authors for all the papers sent and all the papers published, as well as reviewers for their support to obtain high-quality in papers, and specially our readers because without them this milestone would not have been possible. The present regular issue includes research works based on different AI methods such as convolutional neural networks, genetic algorithms, lightning attachment procedure optimization, or those of multi-agent systems. These methods are applied into various fields as video surveillance, gesture recognition, sentiment analysis, territory planning, search engines, epidemiological surveillance or robotics.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: ijimai20195_7_0_pdf_15825.pdf
    Tamaño: 107.2Kb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • vol. 5, nº 7, december 2019

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    2023
    2024
    2025
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    34
    35
    62
    44
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    32
    28
    31
    19

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • A Nondisturbing Service to Automatically Customize Notification Sending Using Implicit-Feedback 

      López Hernández, Fernando ; Verdú, Elena ; Rainer, J Javier ; González-Crespo, Rubén (Scientific Programming, 2019)
      This paper addresses the problem of automatically customizing the sending of notifications in a nondisturbing way, that is, by using only implicit-feedback. Then, we build a hybrid filter that combines text mining content ...
    • Fuzzy logic expert system for selecting robotic hands using kinematic parameters 

      Cobos-Guzmán, Salvador ; Verdú, Elena ; Herrera-Viedma, Enrique; González-Crespo, Rubén (Journal of Ambient Intelligence and Humanized Computing, 01/04/2020)
      Industry 4.0 is the current industrial revolution and robotics is an important factor for carrying out high dexterity manipulations. However, mechatronic systems are far from human capabilities and sophisticated robotic ...
    • Performance analysis of six meta-heuristic algorithms over automated test suite generation for path coverage-based optimization 

      Khari, Manju; Sinha, Anunay; Verdú, Elena ; González-Crespo, Rubén (Soft Computing, 10/2019)
      There exists a direct need to automate the process of test suite generation to get the most optimal results as testing accounts for more than 40% of total cost. One method to solve this problem is the use of meta-heuristic ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioContacto: reunir@unir.net

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja