Convolutional Bidirectional Long Short-Term Memory for Deception Detection With Acoustic Features
Despite the widespread use of multi-physiological parameters for deception detection, they have been severely restricted due to the high degree of cooperation in contacting-detection.
Yue Xie +4 more
doaj +1 more source
Automatic Modulation Classification for Underwater Acoustic Communication Signals Based on Deep Complex Networks. [PDF]
Yao X, Yang H, Sheng M.
europepmc +1 more source
AUV/ASC cooperative survey [PDF]
In this paper we describe a solution to perform autonomous surveys taking advantage of a cooperative multivehicle setup. In the proposed configuration, an ASC provides –through an USBL- absolute positioning and communications to an AUV.
Carreras, Marc +2 more
core
The transition of cetaceans from a terrestrial to an aquatic environment involved a crucial sensory adaptation to environments with limited visibility. Vibrissae, important mechanoreceptors, undergo an ontogenetic transformation in odontocetes. This research describes the histomorphology of vibrissae and crypts at different developmental stages ...
Cecilia Mariana Krmpotic +10 more
wiley +1 more source
Modulation Recognition Method for Underwater Acoustic Communication Signals Based on Passive Time Reversal-Autoencoder with the Synchronous Signals. [PDF]
Hu Y, Bao J, Sun W, Fu X.
europepmc +1 more source
A new acoustic telemetry tag that identifies carrier mortality by monitoring activity level
Abstract We present a new acoustic telemetry tag capable of detecting whether its carrier stops moving for long enough to presume the organism has died, and of reporting the time elapsed since movement ceased. The tag uses existing environmental sensor technology together with an algorithm with user‐specifiable thresholds, and importantly, can separate
Karl P. Phillips +7 more
wiley +1 more source
Modulation Signal Recognition of Underwater Acoustic Communication Based on Archimedes Optimization Algorithm and Random Forest. [PDF]
Wang M, Zhu Z, Qian G.
europepmc +1 more source
Emerging applications of large language models in ecology and conservation science
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Northern cod (Gadus morhua) movement: insights from acoustic telemetry and genomics
Abstract Knowledge of the timing and diversity of fish movements within a commercially exploited stock complex is required to ensure the sustainability of fisheries. Although migration can be driven by environmental factors, genomic mechanisms also play an important role in this complex life‐history trait. The northern cod (Gadus morhua) stock complex,
M. Lisette Delgado +10 more
wiley +1 more source
Abstract Passive acoustic monitoring (PAM) is a useful non‐destructive tool for evaluating species presence, diversity and abundance. However, in marine environments, a dearth of tools and methods for identifying wild, species‐specific fish calls makes quantitative PAM assessments for specific fish species challenging.
Darienne Lancaster +3 more
wiley +1 more source

