Analysis of Deep Learning Algorithms for Prawn Aquaculture in a Challenging Environment-Reference-Cited by-同舟云学术

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Analysis of Deep Learning Algorithms for Prawn Aquaculture in a Challenging Environment

Published:2023-10-23 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS)
language:
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Author:

Zariful Wafiq¹,Tashim Najeebah Az-Zahra¹,Lim Tiong Hoo¹,Basri Aida Maryam²,Chuprat Suriayati³,Putra Seno Adi⁴,Liu Pengcheng⁵,Fakhrurroja Hanif⁶

Affiliation:

1. Universiti Teknologi Brunei,Electrical and Electronic Engineering,Bandar Seri Begawan,Brunei

2. Universiti Teknologi Brunei,School of Applied Sciences and Mathematics,Bandar Seri Begawan,Brunei

3. Universiti Teknologi Malaysia,Razak Faculty of Technology and Informatics,Johor Bahru,Malaysia

4. Telkom Universiti,School of Industrial and System Engineering,Bandung,Indonesia

5. University of York,Department of Computer Science,York,United Kingdom

6. Telkom University,Research Center for Smart Mechatronics National Research and Innovation Agency,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10367208/10367220/10367401.pdf?arnumber=10367401

Reference20 articles.

1. Comparison of faster R-CNN models for object detection

2. A Treatise on Electricity and Magnetism

3. Comparison on Object Detection Algorithms: A Taxonomy

4. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

5. Object Detection Techniques: Overview and Performance Comparison

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