Editor's Note

  1. Juan Antonio Morente-Molinera
Revista:
IJIMAI

ISSN: 1989-1660

Año de publicación: 2020

Volumen: 6

Número: 1

Páginas: 4-5

Tipo: Artículo

DOI: 10.9781/IJIMAI.2020.02.003 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: IJIMAI

Resumen

Soft Computing is an AI branch that focuses on solving problems that have incomplete, inexact or fuzzy information. In other words, Soft Computing area includes algorithms and methods that are typically used when the imprecision or lack of the dealt data make other type of methods to become useless. Deep Learning, Machine learning and Fuzzy Systems related methods have achieved really good results even when the available data is not as good as desired. This success has converted the Soft Computing area in one of the most important ones inside the AI field. This special issue’s goal is to reunite some of the most recent research on the Soft Computing area. The selected research covers different aspects and problems on the AI area in an effort to provide a clear overview of the state of the art on the topic.

Referencias bibliográficas

  • E. Verdú and R. González, “Editor’s Note”, vol. 5, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 5, n. 7, pp. 4-5.
  • F. Mochón and A. Baldominos, “Editor’s Note”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 5, n. 6, pp. 4-5.
  • F. Mochón, “Editor’s Note”, International Journal of Interactive Multimedia and Artifical Intelligence, vol. 5, n. 4, pp. 4-5.
  • D. Burgos, R. Nikolov, C. M. Stracke, “Editor’s Note”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 5, n. 2, pp. 4-5.
  • M. Borhani, and N. Ghasemloo, “Soft Computing Modelling of Urban Evolution: Tehran Metropolis”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 7-15.
  • C. K. Roopa and B. S. Harish, “Automated ECG Analysis for Localizing Thrombus in Culprit Artery Using Rule Based Information Fuzzy Network”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 16-25.
  • S. S. Devi, N. H. Singh, and R. H. Laskar, “Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 26-31.
  • A. Selim, S. Kamel, L. S. Nasrat, F. Jurado, “Voltage Stability Assessment of Radial Distribution Systems Including Optimal Allocation of Distributed Generators”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 32-40.
  • N. A. Kumar, C. Sanjay, and M. Chakravarthy, “Mamdani Fuzzy Expert System Based Directional Relaying Approach for Six-Phase Transmission Line”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 41-50.
  • Y. Wu, Q. Wu, N. Dey, and R. S. Sherratt, “Learning Models for Semantic Classification of Insufficient Plantar Pressure Images”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n.1, pp. 51-61.
  • M. Mohammadpoor, M. G. Nooghabi, Z. Ahmedi, “An Intelligent Technique for Grape Fanleaf Virus Detection”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 62-67.
  • J. Bobadilla, F. Ortega, A. Gutiérrez and S. Alonso, “Classification-based deep neural network architecture for collaborative filtering recommender systems”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 68-77.
  • M. S. Maheshan, B. S. Harish, and N. Nagadarshan, “A Convolution Neural Network Engine for Sclera Recognition”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 78-83.
  • N. Saleem and M. I. Khattak, “Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 84-90.
  • R. Hans, and H. Kaur, “Binary Multi-Verse Optimization (BMVO) Approaches for Feature Selection”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 91-106.
  • S. Kumar, V. Kumar Solanki, S. Kumar Choudhary, A. Selamat, R. González Crespo, “Comparatively Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT)”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 107-116.
  • N. Manju, B. S. Harish and N. Nagadarshan, “Multilayer Feedforward Neural Network for Internet Traffic Classification”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 117- 122.
  • M. Borhani, K. Akbari, A. Matkan, M. Tanasan, “A Multicriteria Optimization for Flight Route Networks in Large-Scale Airlines Using Intelligent Spatial Information”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 123-131.
  • S.J. Fong, G. Li, N. Dey, R. Gonzalez-Crespo, and E. Herrera-Viedma, “Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak”, International Journal of Interactive Multimedia and Artificial Intelligence, vol. 6, n. 1, pp. 132- 140.
Fuente de los datos: Dialnet