Ichthyoplankton Classification Tool using Generative Adversarial Networks and Transfer Learning

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

The study and the analysis of marine ecosystems is a significant part of the marine science research. These systems are valuable resources for fisheries, improving water quality and can even be used in drugs production. The investigation of ichthyoplankton inhabiting these ecosystems is also an important research field. Ichthyoplankton are fish in their early stages of life. In this stage, the fish have relatively similar shape and are small in size. The currently used way of identifying them is not optimal. Marine scientists typically study such organisms by sending a team that collects samples from the sea which is then taken to the lab for further investigation. These samples need to be studied by an expert and usually end needing a DNA sequencing. This method is time-consuming and requires a high level of experience. The recent advances in AI have helped to solve and automate several difficult tasks which motivated us to develop a classification tool for ichthyoplankton. We show that using machine learning techniques, such as generative adversarial networks combined with transfer learning solves such a problem with high accuracy. We show that using traditional machine learning algorithms fails to solve it. We also give a general framework for creating a classification tool when the dataset used for training is a limited dataset. We aim to build a user-friendly tool that can be used by any user for the classification task and we aim to give a guide to the researchers so that they can follow in creating a classification tool.

روابط وملفات

التعريف والنوع

رقم الوثيقة

fd5e7d96-fdb7-4abc-ac74-17571898ebc2

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

1699164_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Aljaafari, Nura","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Kalnis, Panos","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Ichthyoplankton Classification Tool using Generative Adversarial Networks and Transfer Learning

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Deep learning , ichthyoplankton, transfer learning

إشراف وإعداد

الإشراف

Kalnis, Panos

الإعداد

Aljaafari, Nura

الاقتباسات الببليوغرافية