eScripts is currently undergoing an upgrade and heavy maintenance that may cause instability to the service and unsolicited emails going out to users in the upcoming few days. We apologize for any inconvenience that his may cause you and we appreciate your understanding as we continue to improve your experience.
If you encounter significant issues with eScripts, please let us know at

Machine Learning and Nature Inspired Computing based Innovative Applications Special Issue

Editorial Board

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.

  • 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
Manuscript submission deadline:
Notification of acceptance:
Submission of final revised paper:
Publication of special issue (tentative):
October 2018

Creative Technologies