Results 231 to 240 of about 40,646 (281)

Three-Dimensional Observations of a Mesoscale Eddy in the Kuroshio Extension Based on Multiple Platforms. [PDF]

Sci Data
Du T, Zhang Y, Su W, Jing Z, Chen Z, Qiu Y, Zhang H, Yang S, Ma W.   +8 more
europepmc   +1 more source

Employing feedforward backpropagated neural network for Doppler scale estimation in underwater acoustic CP-OFDM communication. [PDF]

Sci Rep
Muzzammil M, Saleem S, Ahmed N, Qiao G, Alharbi A.   +4 more
europepmc   +1 more source

Dense extreme inception network-based edge detection with deep reinforcement learning for object localization in an underwater environment. [PDF]

Sci Rep
Praveena S, Sripada RN, Laxmi Lydia E, Gudikandhula K, Dash BB, Rout SK, Bala K.   +6 more
europepmc   +1 more source

Covert underwater communication through cepstrum modulation mimicking Pseudorca crassidens whistles using machine learning. [PDF]

Sci Rep
Bilal M, Zuberi HH, Jaffar A, Riaz W, Khan MA, Alharbi A, Miyajan A, Liu S.   +7 more
europepmc   +1 more source

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Dataset on underwater change detection

OCEANS 2016 MTS/IEEE Monterey, 2016
The detection of moving objects in a scene is a well researched but depending on the concrete research still often a challenging computer vision task. Usually it is the first step in a whole pipeline and all following algorithms (tracking, classification etc.) are dependent on the accuracy of the detection.
Radolko, Martin, Lukas, Uwe von, Farhadifard, Fahimeh   +2 more
openaire   +1 more source

Underwater Object Tracking Benchmark and Dataset

2019 IEEE International Symposium on Technologies for Homeland Security (HST), 2019
While there has been tremendous advancement in object tracking for open air visual data, much less work has been done for underwater object tracking. This is due to the low quality of underwater visual data. Underwater visual data suffers distortions in contrast and sharpness, as a result of refraction and absorption of light, and particles, which all ...
Landry Kezebou, Victor Oludare, Karen Panetta, Sos S Agaian   +3 more
openaire   +1 more source

Underwater Acoustic Target Recognition on ShipsEar Dataset

2023
The task of classifying underwater audio source has various marine-oriented applications, including maritime and environmental monitoring, detection of marine life, and underwater surveillance. However, Underwater Acoustic Target Recognition (UATR) remains challenging due to several factors.
Tam Phi, David Han
openaire   +1 more source