Results 51 to 60 of about 20,770 (204)

Assessing the potential of autonomous submarine gliders for ecosystem monitoring across multiple trophic levels (plankton to cetaceans) and pollutants in shallow shelf seas [PDF]

open access: yes, 2014
A combination of scientific, economic, technological and policy drivers is behind a recent upsurge in the use of marine autonomous systems (and accompanying miniaturized sensors) for environmental mapping and monitoring.
Allan, Ian J.   +13 more
core   +5 more sources

Development of a fusion adaptive algorithm for marine debris detection within the post-Sandy restoration framework [PDF]

open access: yes, 2014
Recognition of marine debris represent a difficult task due to the extreme variability of the marine environment, the possible targets, and the variable skill levels of human operators.
Calder, Brian R., Masetti, Giuseppe
core   +1 more source

Game Theory-Based Cooperation for Underwater Acoustic Sensor Networks: Taxonomy, Review, Research Challenges and Directions. [PDF]

open access: yes, 2018
Exploring and monitoring the underwater world using underwater sensors is drawing a lot of attention these days. In this field cooperation between acoustic sensor nodes has been a critical problem due to the challenging features such as acoustic channel ...
Anh   +17 more
core   +2 more sources

Guiding the underwater acoustic target recognition with interpretable contrastive learning

open access: yesOCEANS 2023 - Limerick, 2023
Recognizing underwater targets from acoustic signals is a challenging task owing to the intricate ocean environments and variable underwater channels. While deep learning-based systems have become the mainstream approach for underwater acoustic target recognition, they have faced criticism for their lack of interpretability and weak generalization ...
Xie, Yuan, Ren, Jiawei, Xu, Ji
openaire   +2 more sources

Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks

open access: yes, 2016
Forward-looking sonar can capture high resolution images of underwater scenes, but their interpretation is complex. Generic object detection in such images has not been solved, specially in cases of small and unknown objects.
Valdenegro-Toro, Matias
core   +1 more source

Underwater Multi-Robot Convoying using Visual Tracking by Detection

open access: yes, 2017
We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments.
Chang, Wei-Di   +9 more
core   +1 more source

Use of stereo camera systems for assessment of rockfish abundance in untrawlable areas and for recording pollock behavior during midwater trawls [PDF]

open access: yes, 2010
We describe the application of two types of stereo camera systems in fisheries research, including the design, calibration, analysis techniques, and precision of the data obtained with these systems. The first is a stereo video system deployed by using
Rooper, Christopher N.   +2 more
core  

Electrophysiologic assessment of (central) auditory processing disorder in children with non-syndromic cleft lip and/or palate [PDF]

open access: yes, 2012
Session 5aPP - Psychological and Physiological Acoustics: Auditory Function, Mechanisms, and Models (Poster Session)Cleft of the lip and/or palate is a common congenital craniofacial malformation worldwide, particularly non-syndromic cleft lip and/or ...
Ma, L, Ma, X, McPherson, B
core   +1 more source

Sea otter, Enhydra lutris, containment management: field studies and feasibility assessment [PDF]

open access: yes, 1996
Limiting sea otter geographic distribution in California (containment management) has long been recognized as being necessary to preserve human recreational and commercial uses of shellfish resources. However, passage of federal legislation that focused
Harris, Michael   +2 more
core  

Design of Siamese Network for Underwater Target Recognition with Small Sample Size

open access: yesApplied Sciences, 2022
The acquisition of target data for underwater acoustic target recognition (UATR) is difficult and costly. Although deep neural networks (DNN) have been used in UATR, and some achievements have been made, the performance is not satisfactory when ...
Dali Liu   +4 more
doaj   +1 more source

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