Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.4

Submission
Last date
28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  DETECTION AND EXTRACTION OF SEA MINES USING CNN
PaperId: :  17637
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17637
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sheethal SVidyavardhaka College of Engineering
Kiran GVidyavardhaka College of Engineering
Soundarya SVidyavardhaka College of Engineering
Vidhisha VVidyavardhaka College of Engineering

Abstract

Information Science and Engineering
FRCNN, Neural network, Image processing, Deep Learning, ResNet, TensorFlow, Python
The Conventional worry of navel asset is naval mines; these mines are stationary and were planted during war times and now they have been working as a threat to naval ships, and submarines. Detection of those naval mines has been one of the foremost risk-taking tasks, with modern technology various techniques are wont to detect these mines Using Ultrasonic signals, Symbolic pattern analysis of side-scan sonar images but detection through image processing has been one of the most challenging and efficient ones since it can solve the real-time problem with less error, the image classification model like uses FRCNN(Fast Region Convolutional Neural Network) algorithm to classify the objects as mine or not. The cloud platform is employed to watch the mine and as soon as the changes are observed the Android application will reflect the changes.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Sheethal S, Kiran G, Soundarya S, and Vidhisha V. "DETECTION AND EXTRACTION OF SEA MINES USING CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 5487-5495
MLA Sheethal S, Kiran G, Soundarya S, and Vidhisha V. "DETECTION AND EXTRACTION OF SEA MINES USING CNN." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 5487-5495.
APA Sheethal S, Kiran G, Soundarya S, & Vidhisha V. (2022). DETECTION AND EXTRACTION OF SEA MINES USING CNN. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 5487-5495.
Chicago Sheethal S, Kiran G, Soundarya S, and Vidhisha V. "DETECTION AND EXTRACTION OF SEA MINES USING CNN." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 5487-5495.
Oxford Sheethal S, Kiran G, Soundarya S, and Vidhisha V. 'DETECTION AND EXTRACTION OF SEA MINES USING CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 5487-5495. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DETECTION_AND_EXTRACTION_OF_SEA_MINES_USING_CNN_ijariie17637.pdf (Accessed : ).
Harvard Sheethal S, Kiran G, Soundarya S, and Vidhisha V. (2022) 'DETECTION AND EXTRACTION OF SEA MINES USING CNN', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 5487-5495IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DETECTION_AND_EXTRACTION_OF_SEA_MINES_USING_CNN_ijariie17637.pdf (Accessed : )
IEEE Sheethal S, Kiran G, Soundarya S, and Vidhisha V, "DETECTION AND EXTRACTION OF SEA MINES USING CNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 5487-5495, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/DETECTION_AND_EXTRACTION_OF_SEA_MINES_USING_CNN_ijariie17637.pdf [Accessed : ].
Turabian Sheethal S, Kiran G, Soundarya S, and Vidhisha V. "DETECTION AND EXTRACTION OF SEA MINES USING CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Sheethal S, Kiran G, Soundarya S, and Vidhisha V. DETECTION AND EXTRACTION OF SEA MINES USING CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 5487-5495. Available from: https://ijariie.com/AdminUploadPdf/DETECTION_AND_EXTRACTION_OF_SEA_MINES_USING_CNN_ijariie17637.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Blockchain-Based Smart Contract System for Transparent Salary TrackingComputer Application/Block chain/Smart ContractA.G.Ajith Download
Real-Time Face Recognition with Liveness and Semantic VerificationComputer EngineeringJay Mahesh Gurav Download
Multimodal ML Framework for Predictive Chronic Stress Assessment in Student Populationscomputer scienceAnusha B Download
Skin Cancer Detection through Neural Network on Federated LearningComputer ScienceKavya Shree A S Download
Analyzing Member Engagement through Business Intelligence: A Metabase-Driven Dashboard for Registrations, Redemptions, and TransactionsData AnalyticsAnusha S Download
Detection of fake news using Machine Learning techniquesComputer ApplicationsJanani S R Download
MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORSComputer Science and EngineeringAkash S K Download
Optimizing Resource Allocation and Task Offloading for Real-Time IoT ApplicationsComputer ApplicationsDhanush M Download
Examining Human-Computer Interaction in Social Media PlatformsComputer ApplicationsTanuja A Download
Interpretable Multimodal Machine Learning for Early Stroke Risk‬ ‭ Prediction in Atrial Fibrillation PatientsComputer Science and EngineeringAnand Hadapad Download
5G and IoT Integration for Smart CitiesComputer EngineeringYathish K J Download
Design and Development of Automated User Responsive Assistant (AURA) or Kinetically Responsive Intelligent Assistant (KRIA) RobotArtificial IntelligenceChandana S Download
Ethical Hacking: Proactive Security Against Cybercrimecomputer engineeringShahapuram Ritika Download
Cyber Security For Wearable Health Devicescomputer Engineering Jenitha H S Download
Artificial Intelligence in Integrated Circuit Design: Revolutionizing Productivity Amidst Practical ChallengesTechnologyKhanh Pham Duy Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.