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IJSC 2024 : International Journal on Soft Computing


When N/A
Where N/A
Submission Deadline Jun 20, 2024
Notification Due Jul 20, 2024
Final Version Due Jul 27, 2024
Categories    machine learning   soft computing   soft computing   pattern recognition

Call For Papers

International Journal on Soft Computing ( IJSC )

Citations, h-index, i10-index of IJSC

Citations 1974   h-index 25   i10-index 44

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: 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

Submission Deadline:June 20, 2024
Authors Notification: July 20, 2024
Final Manuscript Due: July 27, 2024
Publication Date:Determined by the Editor-in-Chief

Current Issue

November 2023, Volume 14, Number 4

A Review of Data Intelligence Applications Within Healthcare Sector in the United States
Clement Odooh, Regina Robert and Efijemue Oghenekome Paul, Austin Peay State University, USA

Analytic Approach in Accessing Trends and Impacts of Medicaid-Medicare Dual Enrollment in the United States
Clement Odooh, Regina Robert and Efijemue Oghenekome Paul, Austin Peay State University, USA

August 2023, Volume 14, Number 3

Cybersecurity Strategies for Safeguarding Customer’s Data and Preventing Financial Fraud in the United States Financial Sectors
Efijemue Oghenekome Paul1, Obunadike Callistus1, Olisah Somtobe1, Taiwo Esther1, Kizor-Akaraiwe Somto2, Odooh
Clement1 and Ifunanya Ejimofor1, 1Austin Peay State University, Clarksville USA, 2University of Washington, Seattle USA

Insider Threat Prevention in the US Banking System
Oghenekome Efijemue1, Ifunanya Ejimofor1 and Omoshola Simon Owolabi2, 1Austin Peay State University, Clarksville USA, 2Carolina University, USA

May 2023, Volume 14, Number 2

Texts Classification with the usage of Neural Network based on the Word2vec’s Words Representation
D. V. Iatsenko, Southern Federal University, Russia

February 2023, Volume 14, Number 1

Exploring Sentiment Analysis Research: A Social Media Data Perspective
Zahra Dahish1,2 and Shah J Miah1, 1University of Newcastle, Australia, 2Jazan University, Saudi Arabia

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

February 2021, Volume 12, Number 1

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

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