Search Results for author:
Found 8 papers, 2 papers with code
Detecting the presence of sperm whales echolocation clicks in noisy environments
To distinguish between noise transients and to handle simultaneous emissions from multiple sperm whales, our approach clusters a time series of MPS measures while removing potential clicks that do not fulfil the limits of inter-click interval, duration and spectrum.
Underwater object classification combining SAS and transferred optical-to-SAS Imagery
Combining synthetic aperture sonar (SAS) imagery with optical images for underwater object classification has the potential to overcome challenges such as water clarity, the stability of the optical image analysis platform, and strong reflections from the seabed for sonar-based classification.
An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields
In this paper, we consider a common approach for water current prediction that uses Lagrangian floaters for water current prediction by interpolating the trajectory of the elements to reflect the velocity field.
Automated Detection of Dolphin Whistles with Convolutional Networks and Transfer Learning
Effective conservation of maritime environments and wildlife management of endangered species require the implementation of efficient, accurate and scalable solutions for environmental monitoring.
Machine Learning-Based Distributed Authentication of UWAN Nodes with Limited Shared Information
We propose a technique to authenticate received packets in underwater acoustic networks based on the physical layer features of the underwater acoustic channel (UWAC).
Sonar Point Cloud Processing to Identify Sea Turtles by Pattern Analysis
In this paper, we offer a pattern analysis-based detection approach to serve as a warning system for the existence of nearby sea turtles.
Design of an Optimal Testbed for Tracking of Tagged Marine Megafauna
In this work, we aim to optimize the locations of receivers for best tracking of acoustically tagged marine megafauna.
Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales
We posit that machine learning will be the cornerstone of future collection, processing, and analysis of multimodal streams of data in animal communication studies, including bioacoustic, behavioral, biological, and environmental data.
