Search Results - (( developing fish detection algorithm ) OR ( java implication based algorithm ))

Search alternatives:

  • Showing 1 - 12 results of 12
Refine Results
  1. 1
    Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar

    Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar by Azahar, Nur Adriana Qaisara

    Published 2024
    “…This study presents a fish detection system that uses Convolutional Neural Networks (CNNs) and advanced image processing techniques, with a flexible research approach directing the iterative development process. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    A pond-surface-based Biofloc-farm health-monitoring system for African catfish using deep learning methods

    A pond-surface-based Biofloc-farm health-monitoring system for African catfish using deep learning methods by Nizam Nordin

    Published 2022
    “…The objective of this research is; (i) To model a standard training database selection criterion on the fish behaviour in relation to their health, (ii) To develop an algorithm that can determine the health of the fish based on the behaviour of the fish, (iii) To implement and test the fish behaviour detection algorithm in a Biofloc fish pond to validate and evaluate the effectiveness of the system. …”
    Get full text
    Get full text
    Get full text
    Academic Exercise
    Save to List
    Saved in:
  3. 3
    Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif

    Enhance foreign body image using partitioned iterated function system (PIFS) in image enhancement technique / Hidayah Sharif by Sharif, Hidayah

    Published 2010
    “…This prototype is about image enhancement that can be used by doctors to detect fish bone. At the same time, this application can be used for doctors to train medical students. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN)

    Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) by Wan Nur Azhani, Wan Samsudin, Mohd Harizan, Zul, Mohd Zamri, Ibrahim, Rohana, Abdul Karim, Wan Norhamidah, Wan Ibrahim

    Published 2022
    “…To overcome the limitations, this works aims to develop an algorithm to elucidate the zebrafish larvae locomotor activity using Convolutional Neural Network (CNN). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm

    Optimizing high-density aquaculture rotifer Detection using deep learning algorithm by Alixson Polumpung, Kit Guan Lim, Min Keng Tan, Sitti Raehanah Muhamad Shaleh, Renee Ka Yin Chin, Kenneth Teo Tze Kin

    Published 2022
    “…In this paper, we present the method and performance to detect rotifer Brachionus plicatilis in 1ml sample automatically using deep learning algorithm YOLOv3. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceedings
    Save to List
    Saved in:
  6. 6
    Development of fish cupula inspired multi-fluidic sensor for liquid slosh detection

    Development of fish cupula inspired multi-fluidic sensor for liquid slosh detection by Ahmad, Mohd Ashraf, Musa, Zulkifli, Zawawi, Mohd Anwar, Mohd Falfazli, Mat Jusof, Mohd Rashid, Muhammad Ikram, Suid, Mohd Helmi, Zaharuddin, Mohamed

    “…Therefore, to decrease the number of accidents involving lorry carrying liquid, a liquid sloshing sensor is developed to carefully detect the slosh of the liquid and provide an accurate data to control the liquid slosh. …”
    Get full text
    Get full text
    Research Report
    Save to List
    Saved in:
  7. 7
    Malicious URL classification using artificial fish swarm optimization and deep learning

    Malicious URL classification using artificial fish swarm optimization and deep learning by Mustafa Hilal, Anwer, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, K. Nour, Mohamed, M. Asiri, Mashael, M. Al-Sharafi, Ali, Othman, Mahmoud, Motwakel, Abdelwahed

    Published 2023
    “…With this motivation, the current article develops an Artificial Fish Swarm Algorithm (AFSA) with Deep Learning Enabled Malicious URL Detection and Classification (AFSADL-MURLC) model. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)

    Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA) by Umar Farouk Mustapha, Abdul-Wadud Alhassan, Dong-Neng Jiang, Guang-Li Li

    Published 2025
    “…The best option left to produce enough fish to meet demand is relying on advanced aquaculture. …”
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    STEREO IMAGE PROCESSING FOR DISTANCE AND SIZE MEASUREMENT

    STEREO IMAGE PROCESSING FOR DISTANCE AND SIZE MEASUREMENT by Zulailee, Zaiful Hisham

    Published 2018
    Get full text
    Get full text
    Final Year Project
    Save to List
    Saved in:
  11. 11
    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method

    Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

    Published 2024
    thesis::doctoral thesis
    Save to List
    Saved in:
  12. 12
    Google the earth: what's next?

    Google the earth: what's next? by Mansor, Shattri

    Published 2010
    “…The scientific challenge is to develop retrieval algorithms that describe the physical measurement process in sufficient detail, yet are simple enough to allow robust inversion of the remotely sensed signals. …”
    Get full text
    Get full text
    Get full text
    Inaugural Lecture
    Save to List
    Saved in:

Search Tools: