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Soft Computing Methods for Intelligent Automation Systems

Soft Computing Methods for Intelligent Automation Systems

Journal
Impact Score 0.99

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Special Issue Information

Submission Deadline: 31-10-2021
Journal Impact Score: 0.99
Journal Name: Intelligent Automation and Soft Computing
Publisher: Intelligent Automation and Soft Computing

Special Issue Call for Papers

In recent decades, a need has arisen for predicting approaches and techniques to provide real-time solutions to some problems by integrating the modes from the rapidly developing fields of Artificial Intelligence, Machine Learning, Blockchain, Cyber Security, Data Analytics, Big Data, IoT and Cloud Computing. Intelligent systems will not only improve productivity and efficiency, but can also cope with unpredictable and imprecise issues such as variability, downtime and human factors. Soft computing methodologies use a combination of heuristics, approximation models, stochastic and non-deterministic algorithmic behavior to address the imprecision, uncertainty and partial truths that are often present in complex manufacturing systems. This special issue of Soft Computing Methods for Intelligent Automation Systems will showcase the application of soft computing methods for intelligent automation systems.

Topics (But not limited too)
Keywords
Artificial Intelligence
Big Data
Blockchain
Cloud Computing
Cyber Security
Data Analytics
Deep Learning
Digital Image Processing
Fuzzy Logics
Internet of Things
Machine Learning
Optimization Algorithm
Robotics


Dates to Remember:
Submissions Deadline: October 31, 2021

Revision Due: December 15, 2021

Notification of Final Decision: Jan 31, 2022

Publication Date: As per Journal Decision

Profile of guest editors:
Dr. Prakash Mohan
Karpagam College of Engineering
[email protected]


Prakash Mohan, Data Scientist is working as a Professor in the Department of Computer Science and Engineering & Data Science and Analytics Center, Karpagam College of Engineering, Coimbatore, Tamil Nadu, India. Dr. Prakash Mohan has completed his Bachelor of Engineering (Computer Science and Engineering) in 2001 from University of Madras, Master of Engineering (Computer Science and Engineering) in 2007 from Sathyabama University and Doctor of Philosophy (Computer Science and Engineering) in 2014 from Jawaharlal Nehru Technological University Hyderabad. He has more than 19+ years of experience in teaching and research. His area of interest includes Data Analytics, Big Data and Machine Learning. He has published more than 50 research papers in International Journals. He has received awards from Computer Society of India towards Highest hosting CSI Events and Active CSI member in Coimbatore Chapter. He is a member in IEEE, ACM, Computer Society of India, ISTE and IAENG.

Dr. Nithiyananthan Kannan,
Professor/EEE
King Abdulaziz University, KSA.

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Soft Computing Methods for Intelligent Automation Systems

Soft Computing Methods for Intelligent Automation Systems

Intelligent Automation and Soft Computing
Closing date: 31-10-2021 G2R Score: 0.99