Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science

F Yang, R Zuo, OP Kreuzer - Earth-Science Reviews, 2024 - Elsevier
The massive accumulation of available multi-modal mineral exploration data for most
metallogenic belts worldwide provides abundant information for the discovery of mineral …

Towards equity and justice in ocean sciences

A de Vos, S Cambronero-Solano, S Mangubhai… - npj Ocean …, 2023 - nature.com
The global scientific community is currently going through a self-reckoning in which it is
questioning and re-examining its existing practices, many of which are based on colonial …

Exposing inequities in deep-sea exploration and research: results of the 2022 Global Deep-Sea Capacity Assessment

KLC Bell, MC Quinzin, D Amon, S Poulton… - Frontiers in Marine …, 2023 - frontiersin.org
The 2022 Global Deep-Sea Capacity Assessment is a baseline assessment of the technical
and human capacity for deep-sea exploration and research in every coastal area with deep …

Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef

R Deo, CM John, C Zhang, K Whitton, T Salles… - Scientific Data, 2024 - nature.com
Understanding and preserving the deep sea ecosystems is paramount for marine
conservation efforts. Automated object (deep-sea biota) classification can enable the …

Generative adversarial networks with multi-scale and attention mechanisms for underwater image enhancement

Z Wang, L Zhao, T Zhong, Y Jia, Y Cui - Frontiers in Marine Science, 2023 - frontiersin.org
The images captured underwater are usually degraded due to the effects of light absorption
and scattering. Degraded underwater images exhibit color distortion, low contrast, and …

COBRA Master Class: Providing deep-sea expedition leadership training to accelerate early career advancement

RD Rotjan, KLC Bell, JA Huber, CG Wheat… - Frontiers in Marine …, 2023 - frontiersin.org
Leading deep-sea research expeditions requires a breadth of training and experience, and
the opportunities for Early Career Researchers (ECRs) to obtain focused mentorship on …

FathomGPT: A natural language interface for interactively exploring ocean science data

N Khanal, CM Yu, JC Chiu, A Chaudhary… - Proceedings of the 37th …, 2024 - dl.acm.org
We introduce FathomGPT, an open source system for the interactive investigation of ocean
science data via a natural language interface. FathomGPT was developed in close …

[HTML][HTML] Maka Niu: A low-cost, modular imaging and sensor platform to increase observation capabilities of the deep ocean

D Novy, L Kawasumi, J Ferguson, M Sullivan… - Frontiers in Marine …, 2022 - frontiersin.org
The deep sea (> 200 m) is vast, covering 92.6% of the seafloor (Eakins & Sharman, 2012)
and largely unexplored. Imaging and sensor platforms capable of surviving the immense …

Iterative mapping of marine ecosystems for spatial status assessment, prioritization, and decision support

KJ Sink, LA Adams, ML Franken, LR Harris… - Frontiers in Ecology …, 2023 - frontiersin.org
South Africa has taken an iterative approach to marine ecosystem mapping over 18 years
that has provided a valuable foundation for ecosystem assessment, planning and decision …

Designing Ocean Vision AI: An investigation of community needs for imaging-based ocean conservation

A Crosby, EC Orenstein, SE Poulton, KLC Bell… - Proceedings of the …, 2023 - dl.acm.org
Ocean scientists studying diverse organisms and phenomena increasingly rely on imaging
devices for their research. These scientists have many tools to collect their data, but few …