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Workshops

The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.

Workshop proposals are accepted until:

June 26, 2024


If you wish to propose a new Workshop please kindly fill out and submit this Expression of Interest form.

WORKSHOPS LIST

ECDL 2024Workshop on Exploring Evolutionary Computation and Deep Learning for Maritime Management Applications (IJCCI)
Chair(s): Youcef Djenouri, Ahmed Nabil Belbachir, Anis Yazidi and Gautam Srivastava

Workshop on
Exploring Evolutionary Computation and Deep Learning for Maritime Management Applications
 - ECDL 2024

Paper Submission: September 20, 2024
Authors Notification: October 4, 2024
Camera Ready and Registration: October 14, 2024

Co-chairs

Youcef Djenouri
University of South-Eastern Norway
Norway
 
Ahmed Nabil Belbachir
Norwegian Research Center
Norway
 
Anis Yazidi
OsloMet
Norway
 
Gautam Srivastava
Computer Science, Brandon University
Canada
 
Scope

This workshop aims to explore the intersection of evolutionary computation and deep learning within the context of maritime management. Participants will gain insights into how these advanced computational techniques can address complex challenges in the maritime industry, including optimization of shipping routes, predictive maintenance, and vessel tracking. Attendees will learn to apply evolutionary algorithms and deep learning models to real-world maritime problems, fostering innovation and efficiency in maritime operations.


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