Can artificial intelligence accelerate fluid mechanics research?

D Drikakis, F Sofos - Fluids, 2023 - mdpi.com
The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …

An in situ digital synthesis strategy for the discovery and description of ocean life

JA Burns, KP Becker, D Casagrande, J Daniels… - Science …, 2024 - science.org
Revolutionary advancements in underwater imaging, robotics, and genomic sequencing
have reshaped marine exploration. We present and demonstrate an interdisciplinary …

replicAnt: a pipeline for generating annotated images of animals in complex environments using Unreal Engine

F Plum, R Bulla, HK Beck, N Imirzian… - Nature …, 2023 - nature.com
Deep learning-based computer vision methods are transforming animal behavioural
research. Transfer learning has enabled work in non-model species, but still requires hand …

Particle separation mechanisms in suspension-feeding fishes: key questions and future directions

SL Sanderson - Frontiers in Marine Science, 2024 - frontiersin.org
Key unresolved questions about particle separation mechanisms in suspension-feeding
fishes are identified and discussed, focusing on areas with the potential for substantial future …

[HTML][HTML] Marine mammal morphometrics: 3D modeling and estimation validation

C Zhang, H Zhou, F Christiansen, Y Hao… - Frontiers in Marine …, 2023 - frontiersin.org
Techniques of 3D modeling have earned increasing popularity in scientific studies as they
offered unprecedented traits in representing objects. As with all mathematical models, the …

New method for rapid 3D reconstruction of semi-transparent underwater animals and structures

J Daniels, G Sainz, K Katija - Integrative Organismal Biology, 2023 - academic.oup.com
Morphological features are the primary identifying properties of most animals and key to
many comparative physiological studies, yet current techniques for preservation and …

replicAnt - generating annotated images of animals in complex environments with Unreal Engine

F Plum, R Bulla, H Beck, N Imirzian, D Labonte - bioRxiv, 2023 - biorxiv.org
Deep learning-based computer vision methods are transforming animal behavioural
research. Transfer learning has enabled work in non-model species, but still requires hand …

[引用][C] A three‐dimensional, dynamic blue whale model for research and scientific communication

PS Segre, J Martin, DJ Irschick… - Marine Mammal …, 2023 - Wiley Online Library
With the proliferation of scanning hardware and photogrammetry software, three-
dimensional models of animals have become an increasingly important tool in the study of …