International Journal on Soft Computing ( IJSC )

Citations, h-index, i10-index of IJSC

Citations 1869 h-index 24 i10-index 42

Call for Papers

Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.

Topics of interest include but are not limited to, the following

• Fuzzy Systems
  
• Neural Networks
  
• Machine learning
  
• Probabilistic Reasoning
  
• Evolutionary Computing
  
• Pattern recognition
  
• Hybrid intelligent systems
  
• Software agents
  
• Morphic Computing
  
• Image processing,
  
• E-commerce, e-medicine
  
• Rough Sets
  
• Symbolic machine learning
  
• Wavelet
  
• Signal or Image Processing
  
• Vision Recognition
  
• Biomedical Engineering
  
• Telecommunications
  
• Reactive Distributed AI
  
• Nano & Micro-systems
  
• Data Visualization

Paper Submission:

Authors are invited to submit papers for this journal through Email: ijsc@aircconline.com or Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

Current Issue

August 2022, Volume 13, Number 3

Introduction of a Novel Anomalous Sound Detection Methodology
Xiao Tan and S M Yiu, University of Hong Kong, Hong Kong

May 2022, Volume 13, Number 1/2

Spatio-Temporal Characterization with Wavelet Coherence: Anexus between Environment and Pandemic
Iftikhar U. Sikder¹ and James J. Ribero², ¹Cleveland State University, USA, ²IBA, University of Dhaka, Bangladesh

November 2021, Volume 12, Number 2/3/4

An approach to Fuzzy clustering of the iris petals by using Ac-means Analysis
Nicolás Enrique Salgado Guitiérrez, Sergio Andrés Valencia Ramírez and José Soriano Méndez, District University FJDC, Colombia

AI Testing: Ensuring a Good Data Split Between Data Sets (Training and Test) using K-means Clustering and Decision Tree Analysis
Kishore Sugali, Chris Sprunger and Venkata N Inukollu, Purdue University, USA

Editorial Board Members

• Martin A, Sri Manakula Vinayagar Engineering College, India
• Abhishek Gupta, SardarSwaran Singh National Institute of Renewable Energy, India
• Amit Ganatra, Charotar University of Science & Technology, India
• Anjali Yeole ,Mumbai University , India
• Antonio DI NOLA ,University of Salerno, Italy
• Asha Gowda Karegowda, Siddaganga Institute of Technlogy , Karnataka
• Bharat Bhushan Agarwal, Institute of Foreign Trade and Management, University, India
• Carlos E. Otero, The University of Virginia's College at Wise, USA
• Debarati Bhunia Chakraborty, Indian Statistical Institute, India
• Ephzibah E.P, Vellore Institute of Technology, India
• Gaurang Panchal, Charotar University of Science and Technology, India

... More