Results 41 to 50 of about 14,342 (223)

Marine silicon for biomedical sustainability

BMEMat, EarlyView.
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han, Zhibo Yang, Wei Xia, Chengtie Wu   +3 more
wiley   +1 more source

Accurate Mapping of an Extended Shell Bed Area in the North Sea with Multi-spectral Multibeam Backscatter Data [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The multibeam echosounder (MBES) has been widely used in seabed mapping, considering its ability to collect continuous and broad-scale seabed measurements efficiently.
Q. Bai, S. Mestdagh, A. Amiri-Simkooei, T. van Dijk, M. Snellen   +4 more
doaj   +1 more source

Understanding the marine environment : seabed habitat investigations of the Dogger Bank offshore draft SAC [PDF]

, 2009
This report details work carried out by the Centre for Environment, Fisheries and Aquaculture Science (Cefas), British Geological Surveys (BGS) and Envision Ltd. for the Joint Nature Conservation Committee (JNCC).
Diesing, Markus, Forster, Rodney, Foster-Smith, Bob, Long, David, Morando, Angela, Stewart, Heather, Vanstaen, Koen, Ware, Susanne   +7 more
core  

Quantification of rheological parameters in deep‐sea mining plumes

Deep Underground Science and Engineering, EarlyView.
This study explores the variations in rheological properties observed during the propagation of deep‐sea mining plumes, utilizing rheological test data obtained from kaolin clay plumes. Subsequently, taking into account the differences in sediment properties, the effects of clay content and clay mineral composition on the rheological parameters of ...
Xiaolei Liu, Yihan Liu, Yonggang Jia, Xingsen Guo   +3 more
wiley   +1 more source

Picking Up the Pieces—Harmonising and Collating Seabed Substrate Data for European Maritime Areas

Geosciences, 2019
The poor access to data on the marine environment is a handicap to government decision-making, a barrier to scientific understanding and an obstacle to economic growth.
Anu Marii Kaskela, Aarno Tapio Kotilainen, Ulla Alanen, Rhys Cooper, Sophie Green, Janine Guinan, Sytze van Heteren, Susanna Kihlman, Vera Van Lancker, Alan Stevenson, the EMODnet Geology Partners   +10 more
doaj   +1 more source

A Precise Semantic Segmentation Model for Seabed Sediment Detection Using YOLO-C

Journal of Marine Science and Engineering, 2023
Semantic segmentation methods have been successfully applied in seabed sediment detection. However, fast models like YOLO only produce rough segmentation boundaries (rectangles), while precise models like U-Net require too much time.
Xin Chen, Peng Shi, Yi Hu
doaj   +1 more source

Acoustic signatures of the seafloor: Tools for predicting grouper habitat [PDF]

, 2006
Groupers are important components of commercial and recreational fisheries. Current methods of diver-based grouper census surveys could potentially benefit from development of remotely sensed methods of seabed classification.
Eklund, Anne-Marie, Gleason, Arthur C. R., Koch, Veronique, Reid, R. Pamela   +3 more
core  

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

Deep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

The estimation of geoacoustic properties from broadband acoustic data, focusing on instantaneous frequency techniques [PDF]

, 2002
The compressional wave velocity and attenuation of marine sediments are fundamental to marine science. In order to obtain reliable estimates of these parameters it is necessary to examine in situ acoustic data, which is generally broadband.
Best, A.I., Bull, J.M., Dix, J.K., Leighton, T.G., Robb, G.B.N., White, P.R.   +5 more
core  

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source