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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: September 2023
Volume 8 | Issue 9
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 8
Issue Published : 88
Article Submitted : 8769
Article Published : 4490
Total Authors : 11663
Total Reviewer : 551
Total Countries : 86
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| Paper Title: | Underwater Object Detection Based On Improved CNN |
| Authors Name: | Nagaveni B Nimbal , Samrudh R , Rakshitha M V , Prakruthi P S |
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IJRTI_184883
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| Published Paper Id: | IJRTI2301001 |
| Published In: | Volume 8 Issue 1, January-2023 |
| DOI: | |
| Abstract: | Detection and analyzing underwater noise is crucial for companies working in the marine industry. The CNN model employs single forward propagation through a neural network to detect objects in real time, that is the entire image is predicted in a single algorithm run for training and validation. Thus, to overcome the overfitting problem due to these inherent problems in the domain-specific dataset,CNN model pre-trained by the public image dataset is usually adopted for its fine-tuning. For example, an autonomous ship equipped with an Automatic Identification System (AIS) requires safe navigation , which is achieved by the detection of surrounding objects. Therefore, this study aimed to develop a new optimized model using one of the network architectures for deep learning features that would learn automatically from the input data, eliminating the requirements and engineering effort. Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. In this work, we propose a solution for underwater object detection that uses a combination of Convolutional Neural Network and specific image pre-processing steps. The goal is to classify underwater objects into biodegradable and non-biodegradable. |
| Keywords: | Detecting underwater object and classifying objects into Biodegradable or Non biodegradable.. |
| Cite Article: | "Underwater Object Detection Based On Improved CNN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 1, page no.1 - 3, January-2023, Available :http://www.ijrti.org/papers/IJRTI2301001.pdf |
| Downloads: | 000202545 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2301001
Registration ID:184883
Published In: Volume 8 Issue 1, January-2023
DOI (Digital Object Identifier):
Page No: 1 - 3 Country: Bangalore, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2301001 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2301001 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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