| Type of Material: | Thesis |
| Title: | Passive Sonar Automated Target Classification using Deep Hierarchical Feature Learning Approaches |
| Researcher: | Kamal, Surej |
| Guide: | Supriya, M H |
| Department: | Department of Electronics |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2021 |
| Language: | English |
| Subject: | Deep Convolutional Neural Networks | Electronics Engineering | Engineering and Technology | Spectro-Temporal Feature Learning | Under Water Target Recognition | Electrical Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electronics, Cochin University of Science & Technology, Cochin, Cochin; 2021 |
| Fulltext: | Shodhganga |
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| 001 | 456515 | |
| 003 | IN-AhILN | |
| 005 | 2024-10-10 15:26:44 | |
| 008 | __ | 241010t2021||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456515 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aKamal, Surej|eResearcher |
| 110 | __ | |aDepartment of Electronics|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aPassive Sonar Automated Target Classification using Deep Hierarchical Feature Learning Approaches |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2021 |
| 300 | __ | |axxiv,279|dDVD |
| 502 | __ | |cDepartment of Electronics, Cochin University of Science & Technology, Cochin, Cochin|d2021|bPhD |
| 518 | __ | |d2022|oDate of Award |
| 518 | __ | |oDate of Registration|d2016 |
| 520 | __ | |aOceans cover a significant expanse of our planet than it is covered by the landmass. In all five dominions where human endeavours take place, land, sea, underwater, atmosphere and space, the underwater activities are the most hidden and perhaps the most difficult. Obviously naval forces take advantage of the covertness offered by the sea to carry out operations that are otherwise difficult to execute in open territories. The element of surprise and stealth make underwater warfare of paramount interest among the world s leading navies. Since the early efforts in probing the oceans, acoustics has remained as the predominant mode. The single most ubiquitous equipment referred to as SOund NAvigation and Ranging (SONAR), the underwater equivalent of RAdio Detection And Ranging (RADAR), in its many forms helped and is continuing to help in exploring the depths of the oceans. Passive acoustic target recognition stood at the vanguard of underwater acoustic research for several decades in the past while considering |
| 650 | __ | |aElectrical Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aDeep Convolutional Neural Networks |
| 653 | __ | |aElectronics Engineering |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aSpectro-Temporal Feature Learning |
| 653 | __ | |aUnder Water Target Recognition |
| 700 | __ | |eGuide|aSupriya, M H |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/458510|yShodhganga |
| 905 | __ | |afromsg |
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