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Machine Learning and Nature Inspired Computing based Innovative Applications Special Issue

Editorial Board
Editors in Chief:
  • Matei Mancas (University of Mons (UMONS))
Scope

The emergence of new developments of machine learning and nature inspired computing such as deep learning is radically transforming the design and performance of the computer based systems. Machine learning (ML) assists in designing and developing artificial intelligent applications so that a machine can perform a task without intervention of the humans.

It has the ability to adapt to new circumstances and to detect and extrapolate patterns. Nature inspired computing algorithms are optimization techniques which are effectively used to solve NP hard problems. The major objective of this special issue is to gather manuscripts in which machine learning, deep learning and nature inspired computing techniques play key role in the designing innovative applications in different domain areas.

Topics
  • Design of novel classification, clustering and regression techniques.
  • Deep learning
  • Use of Machine Learning in text processing
  • Semantic analysis
  • Role of data preprocessing
  • Healthcare system using machine learning
  • Disease diagnosis using nature inspired algorithms
  • Hybrid and ensemble techniquesModels and methods for big data analysis
  • Visualization of data
  • Knowledge-based maintenance using Machine Learning and Data Mining
Keywords
Manuscript submission deadline:
31.08.2018
Notification of acceptance:
14.09.2018
Submission of final revised paper:
30.09.2018
Publication of special issue (tentative):
October 2018

Journal:
Creative Technologies