Call for Papers |
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The Fourth International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2024 will be held at Mahindra University, Hyderabad on Aug 22-24, 2024. This aims to highlight the evolution of topics, frontline research and multiple applications, in the domain of Computational Intelligence from the mainstream foundations to novel investigations and applications. The conference comprises of one day of tutorial sessions and workshops followed by two days of Keynote Lectures by invited international experts from Industry and Academia, and technical paper presentations. Also, the conference hosts several special sessions on emerging technologies and applications in computational intelligence. The Conference is supported by industry relevant tutorials conducted by various organizations.
More information on the Conference may be found at http://ietcint.com/ ICETCI 2024 invites submissions that are original, previously unpublished innovative work in any area of Computational Intelligence, both emerging topics which form the theme of the conference as well as more foundational areas.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 Unsupervised and Semi-supervised Learning Generative Models Large Language Models Hybrid Models 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 Remote Sensing Computational Finance Computer Vision Sentiment Analysis Condition Monitoring and Control Autonomous Systems Creation of Art and Music Paper Submission Manuscripts for ICETCI 2024 should be submitted electronically at https://edas.info/N31894 Authors should submit manuscripts up to 8 A4-size pages in length, including figures, tables and references, prepared using the provided templates. At most two extra pages can be included at $50.0 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. Paper Templates The paper size should be A4 and must be prepared in two-column format. They should be formatted according to standard templates for IEEE Conference Proceedings, available for Microsoft Word and LaTeX at https://www.ieee.org/conferences/publishing/templates.html |
Summary |
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ICETCI 2024 : 4th International Conference on Emerging Techniques in Computational Intelligence will take place in Hyderabad, India. It’s a 3 days event starting on Aug 22, 2024 (Thursday) and will be winded up on Aug 24, 2024 (Saturday). ICETCI 2024 falls under the following areas: DEEP LEARNING, COMPUTATIONAL INTELLIGENCE, SEQUENCE MODELLING, BAYESIAN METHODS, etc. Submissions for this Conference can be made by Mar 23, 2024. Authors can expect the result of submission by Jun 20, 2024. Upon acceptance, authors should submit the final version of the manuscript on or before Jun 30, 2024 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the ICETCI 2024
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Credits and Sources |
| [1] ICETCI 2024 : 4th International Conference on Emerging Techniques in Computational Intelligence |
