2nd International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2021)

Saturday, Jul 10, 2021 at 9:00 AM to Sunday, Jul 11, 2021 at 6:00 PM AEST

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Saturday, Jul 10, 2021 at 9:00 AM to Sunday, Jul 11, 2021 at 6:00 PM AEST

 

2nd International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2021)

July 10 ~ 11, 2021, Toronto, Canada

https://acsit2021.org/saim/index

Call for Papers

2 nd  International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2021)  will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing, Machine Learning.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

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

  • Artificial Intelligence
  • AI Algorithms
  • Artificial Intelligence Tools & Applications
  • Automatic Control
  • Bioinformatics
  • Natural Language Processing
  • CAD Design & Testing
  • Computer Vision and Speech Understanding
  • Data Mining and Machine Learning Tools
  • Fuzzy Logic
  • Heuristic and AI Planning Strategies and Tools
  • Computational Theories of Learning
  • Hybrid Intelligent Systems
  • Information Retrieval
  • Intelligent System Architectures
  • Knowledge Representation
  • Knowledge-based Systems
  • Mechatronics
  • Multimedia & Cognitive Informatics
  • Neural Networks
  • Parallel Processing
  • Pattern Recognition
  • Pervasive Computing and Ambient Intelligence
  • Programming Languages
  • Reasoning and Evolution
  • Recent Trends and Developments
  • Geographical Information Systems / Global Navigation Satellite Systems (GIS / GNSS)
  • Robotics
  • Semantic Web Techniques and Technologies
  • Soft Computing Theory and Applications
  • Software & Hardware Architectures
  • Web Intelligence Applications & Search
  • Soft Computing
  • Fuzzy Systems
  • Neural Networks
  • Machine Learning
  • Probabilistic Reasoning
  • Evolutionary Computing
  • Pattern Recognition
  • Hybrid intelligent systems
  • Software Agents
  • Morphic Computing
  • Image processing
  • E-commerce and 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
  • Machine Learning Applications
  • Machine Learning in knowledge-intensive systems
  • Machine Learning Methods and analysis
  • Machine Learning Problems

Paper Submission

Authors are invited to submit papers through the conference  Submission System  by  April 03, 2021 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by  Computer Science Conference Proceedings  in  Computer Science & Information Technology (CS & IT)  series (Confirmed).

Selected papers from  SAIM 2021 , after further revisions, will be published in the special issue of the following journal.

Important Dates

  • Deadline Submission:  April 03, 2021
  • Authors Notification: May 10, 2021
  • Registration & camera - Ready Paper Due: May 28, 2021

Contact Us

Here's where you can reach us  saim@acsit2021.org  (or)  saim_conf@yahoo.com

Ronan R

2nd International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing, Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

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