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AITA 2023 : International Conference on Artificial Intelligence: Theory and Applications

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Link: https://scrs.in/conference/aita2023
 
When Aug 7, 2023 - Aug 8, 2023
Where IBS, Bangalore
Submission Deadline May 29, 2023
Notification Due Jul 8, 2023
Final Version Due Jul 23, 2023
Categories    artificial intelligence   applied intelligence   intelligent systems   machine learning
 

Call For Papers

ICFAI Business School (IBS) Bangalore, India is going to organize the International Conference on Artificial Intelligence: Theory and Applications (AITA 2023) in Hybrid Mode scheduled to be held from 07 to 08 August 2023. The conference is technically sponsored by the Soft Computing Research Society (SCRS). The AITA 2023 aims to bring together leading academicians, scientists, researcher scholars, UG/PG graduates from all over the world to exchange and share their research advancements. It targets to provide a state-of-the-art platform to discuss various aspects of Artificial Intelligence and its applications to solve the complex problems. The conference proceeding of the AITA 2023 will be published in Scopus indexed Springer Book Series, ‘Smart Innovation, Systems and Technologies’. The selected paper will be sent for publication in the special issue of peer-reviewed journals.


The topics covered (but are not limited to) in the conference are as follows:

Artificial Intelligence, Machine Learning and Big Data AI algorithms Artificial intelligence tools and applications, bioinformatics Natural language processing 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 Evolutionary Computing Combinatorial and numerical optimization Swarm Intelligence Artificial Immune Systems Fuzzy clustering algorithms and optimization techniques Support Vector Machines Artificial Neural Networks Hybrid Intelligent Systems Hybrid of soft computing and statistical learning techniques Nature Inspired Computing Techniques Machine Learning Ambient Intelligence Hybridizatiion with novel computing paradigms Image and Signal Processing Network Security Supply Chain Management Computational Biology and Bioinformatics Human Resource Management Finance and economics Internet of Things (IoT) AI for Smart City AI for Healthcare System Machine Vision Remote Sensing & GIS Aircraft Sensor Management Multidisciplinary aerospace design.

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