A Rapid Prediction Method for Underwater Vehicle Radiated Noise Based on Feature Selection and Parallel Residual Neural Network. [PDF]
Ji F, Li Z, Feng W, Shi M, Ji X.
europepmc +1 more source
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao +10 more
wiley +1 more source
Biomimetic propulsion system efficiency for unmanned underwater vehicle. [PDF]
Szymak P +4 more
europepmc +1 more source
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge +7 more
wiley +1 more source
Analysis of Direction-Finding Performance of Vector Hydrophones Based on Unmanned Underwater Vehicle Platforms and Application Research of Embodied Cognition Theory. [PDF]
Zhang H, Zhang H, Zhang L, Tang B.
europepmc +1 more source
Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter. [PDF]
Shaukat N +4 more
europepmc +1 more source
Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite +8 more
wiley +1 more source
A maneuverable underwater vehicle for near-seabed observation. [PDF]
Liu K +7 more
europepmc +1 more source
Towards the Design and Implementation of an Image-Based Navigation System of an Autonomous Underwater Vehicle Combining a Color Recognition Technique and a Fuzzy Logic Controller. [PDF]
Lin YH, Yu CM, Wu CY.
europepmc +1 more source
Discovery and fine‐scale mapping of a hadal xenophyophore field: submersible video transects and photogrammetry enable semi‐automated delineation of xenophyophores, revealing their abundance, spatial organisation, structural complexity and contribution to habitat heterogeneity at ~8000 m depth.
Denise J. B. Swanborn +5 more
wiley +1 more source

