Title : Underwater object detection and tracking using hybrid deep convolutional neural network techniques

Type of Material: Thesis
Title: Underwater object detection and tracking using hybrid deep convolutional neural network techniques
Researcher: Vijiya Kumar,K
Guide: Govindasamy,V
Department: Pondicherry Engineering College
Publisher: Pondicherry University, Puducherry
Place: Kalapet
Year: 2022
Language: English
Subject: Computer Science
Computer Science Interdisciplinary Applications
Engineering and Technology
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Pondicherry Engineering College, Pondicherry University, Puducherry, Kalapet; 2022; 162106031
Fulltext: Shodhganga

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035__|a(IN-AhILN)th_455908
040__|aPNDI_605104|dIN-AhILN
041__|aeng
100__|aVijiya Kumar,K|eResearcher
110__|aPondicherry Engineering College|bPondicherry University, Puducherry|dKalapet|ein|0U-0369
245__|aUnderwater object detection and tracking using hybrid deep convolutional neural network techniques
260__|aKalapet|bPondicherry University, Puducherry|c2022
300__|a140 p.|dDVD
502__|bPhD|cPondicherry Engineering College, Pondicherry University, Puducherry, Kalapet|o162106031|d2022
518__|oDate of Award|d2023
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aComputer Science
653__|aComputer Science Interdisciplinary Applications
653__|aEngineering and Technology
700__|aGovindasamy,V|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/537129|yShodhganga
905__|afromsg

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