Opportunities for seagrass research derived from remote sensing: A review of current methods
Seagrass communities provide critical ecosystem and provisioning services for both human
populations and a wide range of associated species globally. However, it has been reported …
populations and a wide range of associated species globally. However, it has been reported …
Semantic segmentation of major macroalgae in coastal environments using high-resolution ground imagery and deep learning
Macroalgae are a fundamental component of coastal ecosystems and play a key role in
shaping community structure and functioning. Macroalgae are currently threatened by …
shaping community structure and functioning. Macroalgae are currently threatened by …
Dense convolutional networks for semantic segmentation
Recent studies have greatly promoted the development of semantic segmentation. Most
state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in …
state-of-the-art methods adopt fully convolutional networks (FCNs) to accomplish this task, in …
Combined use of FCN and Harris corner detection for counting wheat ears in field conditions
Accurate counting of wheat ears in field conditions is vital to predict yield and for crop
breeding. To quickly and accurately obtain the number of wheat ears in a field, we propose …
breeding. To quickly and accurately obtain the number of wheat ears in a field, we propose …
[HTML][HTML] Path planning for underwater information gathering based on genetic algorithms and data stochastic models
Recent technological developments have paved the way to the employment of Autonomous
Underwater Vehicles (AUVs) for monitoring and exploration activities of marine …
Underwater Vehicles (AUVs) for monitoring and exploration activities of marine …
[HTML][HTML] Improving accuracy and efficiency in seagrass detection using state-of-the-art AI techniques
Seagrasses provide a wide range of ecosystem services in coastal marine environments.
Despite their ecological and economic importance, these species are declining because of …
Despite their ecological and economic importance, these species are declining because of …
[HTML][HTML] Seagrass classification using unsupervised curriculum learning (UCL)
Seagrass ecosystems are pivotal in marine environments, serving as crucial habitats for
diverse marine species and contributing significantly to carbon sequestration. Accurate …
diverse marine species and contributing significantly to carbon sequestration. Accurate …
BAOS-CNN: A novel deep neuroevolution algorithm for multispecies seagrass detection
MK Noman, SM Shamsul Islam, SM Jafar Jalali… - Plos one, 2024 - journals.plos.org
Deep learning, a subset of machine learning that utilizes neural networks, has seen
significant advancements in recent years. These advancements have led to breakthroughs …
significant advancements in recent years. These advancements have led to breakthroughs …
Adaptive visual information gathering for autonomous exploration of underwater environments
This work presents the development and field testing of a novel adaptive visual information
gathering (AVIG) framework for autonomous exploration of benthic environments using …
gathering (AVIG) framework for autonomous exploration of benthic environments using …
Automatic annotation of subsea pipelines using deep learning
A Stamoulakatos, J Cardona, C McCaig, D Murray… - Sensors, 2020 - mdpi.com
Regulatory requirements for sub-sea oil and gas operators mandates the frequent
inspection of pipeline assets to ensure that their degradation and damage are maintained at …
inspection of pipeline assets to ensure that their degradation and damage are maintained at …