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  Published Paper Details:

  Paper Title

A FAST AND ADAPTABLE ALGORITHM TO OPTIMIZE SHIP ROUTING USING MACHINE LEARNING TECHNIQUES

  Authors

  Meghana G R,  Gagan H,  Mohammed Faisal D,  Suhas S C,  Varun V S

  Keywords

Ship Routing Optimization, Machine Learning, Maritime Navigation, Adaptive Routing Algorithm.

  Abstract


The report presents a fast and adaptable ship routing algorithm leveraging machine learning techniques to optimize maritime navigation, considering real-time environmental factors. It addresses limitations of traditional rigid routing methods by incorporating dynamic data such as weather, sea currents, and vessel load to improve fuel efficiency, safety, and operational costs. The developed system demonstrates enhanced route planning performance, contributing towards sustainable and intelligent maritime transportation.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2512696

  Paper ID - 299215

  Page Number(s) - g216-g227

  Pubished in - Volume 13 | Issue 12 | December 2025

  DOI (Digital Object Identifier) -    https://doi.org/10.56975/ijcrt.v13i12.299215

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Meghana G R,  Gagan H,  Mohammed Faisal D,  Suhas S C,  Varun V S,   "A FAST AND ADAPTABLE ALGORITHM TO OPTIMIZE SHIP ROUTING USING MACHINE LEARNING TECHNIQUES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 12, pp.g216-g227, December 2025, Available at :http://www.ijcrt.org/papers/IJCRT2512696.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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