Results 101 to 110 of about 5,469 (282)

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

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

Remote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command, Shreya Nemani, Benjamin Misiuk, Mehrdad Hajibabaei, Nicole Fahner, Emily Porter, Greg Singer, Beverly McClenaghan, Katleen Robert   +8 more
wiley   +1 more source

Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean

Remote Sensing in Ecology and Conservation, EarlyView.
The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu, Grant van der Heever, Charles von der Meden, Hannah Truter, Stephen J. Lamberth, Ofer Gon   +5 more
wiley   +1 more source

An Efficient Topology Discovery Protocol with Node ID Assignment Based on Layered Model for Underwater Acoustic Networks. [PDF]

Sensors (Basel), 2020
Zhao R, Liu Y, Dobre OA, Wang H, Shen X.
europepmc   +1 more source

Conductive Hydrogel‐Enabled Electrode for Scalp Electroencephalography Monitoring

Small Methods, EarlyView.
Conductive hydrogels are emerging as effective EEG electrode‐scalp interfaces to overcome hair barriers. This review presents the demanding parameters for hair‐compatible hydrogel electrodes and summarizes their applications in healthcare and brain‐computer interfaces.
Zichong Ji, Leqi Li, Meiqiong Zheng, Xinyuan Ye, Wenqing Yan, Zonglei Wang, Yi Liu, Yuli Wang, Yujie Zhang, Pengcheng Zhou, Jiawei Yang, Mingzhe Wang, Shihong Lin, Hossam Haick, Yan Wang   +14 more
wiley   +1 more source

Deep Q-Network-Based Cooperative Transmission Joint Strategy Optimization Algorithm for Energy Harvesting-Powered Underwater Acoustic Sensor Networks [PDF]

, 2020
Song Han, Luo Li, Xinbin Li
openalex   +1 more source

Multiterminal High‐Voltage Direct Current Projects: A Comprehensive Assessment and Future Prospects

High Voltage, EarlyView.
ABSTRACT Multiterminal high‐voltage direct current (MT‐HVDC) systems are an important part of modern power systems, addressing the need for bulk power delivery and efficient renewable energy integration. This paper provides a comprehensive overview of recent advances in MT‐HVDC technology, including launched projects and ongoing initiatives.
Mohammad Hossein Mousavi, Hassan Moradi, Kumars Rouzbehi, Vijay K. Sood   +3 more
wiley   +1 more source

As above, so below: A perspective into the application of land‐forest monitoring methods for the assessment of marine animal forests

Methods in Ecology and Evolution, EarlyView.
Abstract Marine animal forests (MAFs) are benthic ecosystems dominated by vertically structuring filter‐ and suspension‐feeders. As terrestrial forests, they are considered biodiversity hotspots, forming canopies, serving as a refuge, nursery, reproduction and feeding shelters for many species.
Torcuato Pulido Mantas, Camilla Roveta, Martina Coppari, Cristina Gioia Di Camillo, Joaquim Garrabou, Nils Lucas Jacobsen, Marco Palma, Ubaldo Pantaleo, Manuja Promodya Hendawitharana, Carlo Cerrano   +9 more
wiley   +1 more source

Reinforcement Learning Based MAC Protocol (UW-ALOHA-Q) for Underwater Acoustic Sensor Networks [PDF]

, 2019
Sung Hyun Park, Paul Mitchell, David Grace   +2 more
openalex   +1 more source

CheckEM: An open‐source toolkit for standardising, cleaning and visualising stereo‐video fish survey data

Methods in Ecology and Evolution, EarlyView.
Abstract Effective research and monitoring requires accurate, interoperable and representative data. Stereo‐video based methods are commonly used to survey fish and are rapidly expanding globally due to their cost‐effectiveness, ability to provide accurate body size measurements, non‐destructive approach and capacity to create permanent data records ...
Brooke A. Gibbons, Claude Spencer, Jordan Goetze, Dianne McLean, Todd Bond, Jacquomo Monk, Matthew Navarro, Daniel Agnello, Charlotte Aston, Charlie Huveneers, Stephen J. Newman, Shaun Wilson, Andrew Hoey, Ben Radford, Conrad W. Speed, Daniel Ierodiaconou, Tim Langlois   +16 more
wiley   +1 more source