Journal Overview

Intelligent Automation & Soft Computing

ISSN: 1079-8587 (Print)

ISSN: 2326-005X (Online)


Aims & Scope

An International Journal seeks to provide a common forum for the dissemination of accurate results about the world of intelligent automation, artificial intelligence, computer science, control, intelligent data science, modeling and systems engineering. It is intended that the articles published in the journal will encompass both the short and the long term effects of soft computing and other related fields such as robotics, control, computer, vision, speech recognition, pattern recognition, data mining, big data, data analytics, machine intelligence, cyber security and deep learning. It further hopes it will address the existing and emerging relationships between automation, systems engineering, system of systems engineering and soft computing. The journal will publish original and survey papers on artificial intelligence, intelligent automation and computer engineering with an emphasis on current and potential applications of soft computing. It will have a broad interest in all engineering disciplines, computer science, and related technological fields such as medicine, biology operations research, technology management, agriculture and information technology. Topics to be considered include but not limited to:
Intelligent Automation: Robotics, industrial inspection, design automation and rapid prototyping, scheduling, process control and automation, autonomous systems, computer integrated manufacturing, multi-agent systems, intelligent system of systems, nanotechnology, stochastic learning automation, autonomous control, cyber-physical (system of systems) systems, applications in space- and earth-bound systems.
Soft Computing: Neural networks, neuro computing, fuzzy logic, genetic algorithms, genetic programming, AI and expert systems, probabilistic reasoning, machine learning, learning control, fuzzy logic control, distributed intelligence, image processing and self-organizing systems, data mining, big data management, cyber security, clustering, and deep learning.


Publication Frequency

Monthly


Ownership

The journal is owned by Tech Science Press.

 

Open Access

All articles published will be Gold open access under the terms and conditions of the Creative Commons Attribution License 4.0 (CC-BY 4.0), and are made freely and permanently accessible online from the date of publication. For further information, please refer to the Open Access Pollicy.


Archiving

All journals published by TSP are archived in Portico, which provides permanent digital archiving for scholarly journals.


Ethics Statement

TSP takes the responsibility to enforce a rigorous peer-review together with strict ethical policies and standards to ensure adding the highest quality scientific works to the field of scholarly publication. TSP takes such publishing ethics issues very seriously on every level. Our staff are trained to identify and report any irregularities. Our editors proceed with a zero tolerance policy, to enforce COPE’s Core Practices and Guidelines and swiftly handle complex cases of plagiarism, data falsification, authorship credit, and the like.


Last updated: December 16, 2021