Machine Learning Research

Volume 1, Issue 1, December 2016

  • SMS Spam Filtering Using Machine Learning Techniques: A Survey

    Hedieh Sajedi, Golazin Zarghami Parast, Fatemeh Akbari

    Issue: Volume 1, Issue 1, December 2016
    Pages: 1-14
    Received: 28 September 2016
    Accepted: 5 November 2016
    Published: 5 December 2016
    DOI: 10.11648/j.mlr.20160101.11
    Abstract: Objective: To report a review of various machine learning and hybrid algorithms for detecting SMS spam messages and comparing them according to accuracy criterion. Data sources: Original articles written in English found in,,, IEEE explorer, and the ACM library. Study selection: Those articles dealing... Show More
  • Non Linear Cellular Automata Enhanced with Active Learning for Pattern Classification in Highly Dense Images

    P. Kiran Sree, Sssn Usha Devi N.

    Issue: Volume 1, Issue 1, December 2016
    Pages: 15-18
    Received: 27 November 2016
    Accepted: 17 December 2016
    Published: 16 January 2017
    DOI: 10.11648/j.mlr.20160101.12
    Abstract: This paper introduces a new approach to classify several high density images based on the properties of Non Linear Cellular Automata. We use a state-transition which consists of a set of disjoint trees rooted at cyclic states of unit cycle length thus forming a natural classifier. The framework proposed is strengthened with genetic algorithm to fin... Show More
  • A Novel Approach to Detect Text in Various Dynamic-Colour Images

    S. Kannadhasan, R. Rajesh Baba

    Issue: Volume 1, Issue 1, December 2016
    Pages: 19-32
    Received: 24 November 2016
    Accepted: 24 December 2016
    Published: 19 January 2017
    DOI: 10.11648/j.mlr.20160101.13
    Abstract: Detecting text in multi-colour images is an important prerequisite. The RBG image is converted into YUV image, after that the multidimensional filter is used to reduce the noise in the YUV image. Canny edge detection is used to measure the continuity of the edges in the images. A efficient text detection is proposed using stroke width transformatio... Show More
  • Adaptive Fuzzy Sliding Modes Observer for Phenol Biodegradation

    Marco Antonio Márquez-Vera, Julo César Ramos-Fernández, Blanca Diana Balderrama-Hernández

    Issue: Volume 1, Issue 1, December 2016
    Pages: 33-41
    Received: 6 December 2016
    Accepted: 6 January 2017
    Published: 31 January 2017
    DOI: 10.11648/j.mlr.20160101.14
    Abstract: There exist processes difficult to control as the chemical ones, in this work the bacterial grow rate in a biotechnological process is controlled, to make it, a fuzzy model was proposed, this control uses the clustering technique to improve the membership functions for the antecedents rules and least squares for the consequents; the control work in... Show More