Results 141 to 150 of about 1,006,834 (242)
MIDS (Multi‐frame Individual Distinctions by Size) is a new software package for improving how fish populations are assessed using stereo‐video data. By using the length, error and statistical inference of measurements, MIDS distinguishes individuals across multiple video frames and autonomously removes repeat observations, regardless of when the ...
Hayden Swift +4 more
wiley +1 more source
Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning. [PDF]
Liao X, Li L, Huang C, Zhao X, Tan S.
europepmc +1 more source
SAUV-A Bio-Inspired Soft-Robotic Autonomous Underwater Vehicle. [PDF]
Plum F, Labisch S, Dirks JH.
europepmc +1 more source
In this study, we developed AnuraSearch, an open‐source classifier for 11 Ukrainian amphibian species, by repurposing the avian BirdNET algorithm via transfer learning to process over 18,000 h of autonomous acoustic recordings. Although the model demonstrated high precision and successfully reconstructed detailed seasonal and diel vocal activity ...
Vasylyna Strus +5 more
wiley +1 more source
Insights into Flexible Bioinspired Fins for Unmanned Underwater Vehicle Systems through Deep Learning. [PDF]
Zhou B +4 more
europepmc +1 more source
This review examines cellulose as a sustainable platform for triboelectric nanogenerators, linking molecular structure, surface chemistry, and material engineering to charge generation, retention, and dissipation. Native, regenerated, and nanocellulose materials, functionalization strategies, scalable manufacturing, and diverse applications are ...
Renyun Zhang +3 more
wiley +1 more source
Learning-Based Discontinuous Path Following Control for a Biomimetic Underwater Vehicle. [PDF]
Wang Y +6 more
europepmc +1 more source
Correction Algorithm for the Navigation System of an Autonomous Unmanned Underwater Vehicle. [PDF]
Chen D, Neusypin KA, Selezneva MS.
europepmc +1 more source
This work uses high‐temperature dilatometry to examine how the tramp elements Cu, Ni, and Sn affect the deformability of non‐metallic inclusions and matrix in quench‐and‐temper steel. Mg‐bearing inclusions deform less than Mg‐free ones. Copper lowers formability. Nickel increases deformability.
Julian Cejka +3 more
wiley +1 more source
Underway measurement of cyanobacterial microcystins using a surface plasmon resonance sensor on an autonomous underwater vehicle. [PDF]
Ussler W +21 more
europepmc +1 more source

