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What is human-centered about human-centered AI? A map of the research landscape
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …
high expectations of its benefits and dire predictions of misuse. While AI systems have …
Close-range underwater photogrammetry for coral reef ecology: A systematic literature review
Close-range underwater photogrammetry, hereafter referred to as photogrammetry, is
rapidly emerging as a new standard in measuring and monitoring coral reefs due to its …
rapidly emerging as a new standard in measuring and monitoring coral reefs due to its …
Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef
Understanding and preserving the deep sea ecosystems is paramount for marine
conservation efforts. Automated object (deep-sea biota) classification can enable the …
conservation efforts. Automated object (deep-sea biota) classification can enable the …
CNet: A novel seabed coral reef image segmentation approach based on deep learning
Achieving underwater coral seabed image segmentation involves dividing an image into
meaningful regions or segments, which, in this case, could represent different types of …
meaningful regions or segments, which, in this case, could represent different types of …
Seeing the forest for the trees: Map** cover and counting trees from aerial images of a mangrove forest using artificial intelligence
Mangrove forests provide valuable ecosystem services to coastal communities across
tropical and subtropical regions. Current anthropogenic stressors threaten these ecosystems …
tropical and subtropical regions. Current anthropogenic stressors threaten these ecosystems …
A survey on underwater coral image segmentation based on deep learning
Image-based coral reef survey technologies have revolutionized the monitoring of coral
reefs by offering a cost-effective and noninvasive method for collecting data across large …
reefs by offering a cost-effective and noninvasive method for collecting data across large …
Human-in-the-loop segmentation of multi-species coral imagery
Broad-scale marine surveys performed by underwater vehicles significantly increase the
availability of coral reef imagery however it is costly and time-consuming for domain experts …
availability of coral reef imagery however it is costly and time-consuming for domain experts …
A test for evaluating performance in human-computer systems
The Turing test for comparing computer performance to that of humans is well known, but,
surprisingly, there is no widely used test for comparing how much better human-computer …
surprisingly, there is no widely used test for comparing how much better human-computer …
Applying deep learning to predict SST variation and tropical cyclone patterns that influence coral bleaching
Abstract South Penghu Marine National Park, Taiwan experienced severe coral bleaching in
2020 that may lead to coral mortality. Corals are important animals that enrich marine …
2020 that may lead to coral mortality. Corals are important animals that enrich marine …
[HTML][HTML] Quantifying the loss of coral from a bleaching event using underwater photogrammetry and AI-assisted image segmentation
Detecting the impacts of natural and anthropogenic disturbances that cause declines in
organisms or changes in community composition has long been a focus of ecology …
organisms or changes in community composition has long been a focus of ecology …