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ICETCI 2023 : 3rd International Conference on Emerging Techniques in Computational Intelligence

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Link: https://ietcint.com/
 
When Sep 21, 2023 - Sep 23, 2023
Where Hyderabad, India
Submission Deadline Apr 15, 2023
Notification Due Jun 5, 2023
Final Version Due Jun 21, 2023
Categories    neural networks   deep learning   computational intelligence   smart cities
 

Call For Papers

The Third International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2023 will be held at Mahindra University, Hyderabad, India, from September 21 to 23, 2023. The conference will consist of one day of tutorial sessions followed by two days of keynote lectures by invited experts and technical paper presentations by practitioners. We invite submission of papers from all areas of Computational Intelligence, both emerging topics which form the theme of the conference as well as more established areas, presenting developments in algorithms as well as applications. All papers will pass through a multiple peer-review process, and accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements.

A 1-page PDF flyer is available at:
https://ietcint.com/assets/images/IEEE_conference_Flyer_2023_NEW.pdf


IMPORTANT DATES
Special Session Proposal Deadline: Jan 05, 2023
Tutorial Proposal Deadline: Mar 08, 2023
Last Date for Paper Submission: Mar 08, 2023
Mar 30, 2023
Apr 15, 2023
Final Notification of Review Outcomes: Jun 05, 2023
Submission of Final paper: Jun 21, 2023
Early Registration Deadline: Jun 21, 2023
Final Registration Deadline: Sep 20, 2023
Conference Dates: Sep 21-23, 2023


ICETCI 2023 invites submissions that are original, previously unpublished innovative work in any area of Computational Intelligence, both emerging topics which form the theme of the conference as well as more foundational areas.

The three main tracks of the Conference are:

Deep Learning
Sequence Modelling and
General Topics in Computational Intelligence
LIST OF TOPICS

MODELS
Neural Networks
Evolutionary Algorithms
Fuzzy Logic
Rough Sets
Bayesian Methods
Reinforcement Learning
Cognitive Learning
Quantum Computing
Learning Paradigms
Memory Paradigms
Reasoning Models
Deep Learning
Explainable AI
Physics Informed Neural Networks
Adversarial Machine Learning
Game Theory
Extreme Learning Machines
Intelligent Agents
Multi-Objective Optimization

APPLICATIONS
Natural Language Processing
Computational Genomics
Recommendation Systems
Music Information Retrieval
Generative Adversarial Models
Blockchain
Augmented & Virtual Reality
Industry 4.0
Cybersecurity
Social and Crowd Computing
Big Data Analytics
Robotic Process Automation
5G/6G Communications
Renewable Energy Systems
Structural Health Monitoring
Smart Cities
Intelligent Transportation Systems
Neuroscience
Healthcare
Graphical Models
Climate Science
Unsupervised Learning
Remote Sensing
Computational Finance
Computer Vision
Sentiment Analysis
Paper Submission

Manuscripts for ICETCI 2023 should be submitted electronically at https://edas.info/N30369

Authors should submit manuscripts up to 8 A4-size pages in length, including figures, tables and references, prepared using the IEEE 2-column template. At most two extra pages can be included at $50 each.

All submitted manuscripts will be subjected to four or more reviews. Accepted and presented papers are expected to be submitted to IEEE Xplore for digital publication.

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