Results 21 to 30 of about 1,080 (154)

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance

open access: yesSensors, 2022
This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels from passive sonar data and the ...
Lucas C. F. Domingos   +4 more
doaj   +1 more source

Sequential Classification Of Active Sonar Returns [PDF]

open access: yesOCEANS 92 Proceedings@m_Mastering the Oceans Through Technology, 2005
n ...
Dwyer, R. F., Radlinski, R. P.
openaire   +2 more sources

Multi-Layer Perceptron Training Optimization Using Nature Inspired Computing

open access: yesIEEE Access, 2022
Although the multi-layer perceptron (MLP) neural networks provide a lot of flexibility and have proven useful and reliable in a wide range of classification and regression problems, they still have limitations.
Ali Al Bataineh   +2 more
doaj   +1 more source

Feature Extraction and Classification of Simulated Monostatic Acoustic Echoes from Spherical Targets of Various Materials Using Convolutional Neural Networks

open access: yesJournal of Marine Science and Engineering, 2023
Active sonar target classification remains an ongoing area of research due to the unique challenges associated with the problem (unknown target parameters, dynamic oceanic environment, different scattering mechanisms, etc.).
Bernice Kubicek   +2 more
doaj   +1 more source

Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications

open access: yes한국해양공학회지, 2020
Underwater acoustics, which is the study of phenomena related to sound waves in water, has been applied mainly in research on the use of sound navigation and range (SONAR) systems for communication, target detection, investigation of marine resources and
Haesang Yang   +4 more
doaj   +1 more source

Study on Small Samples Active Sonar Target Recognition Based on Deep Learning

open access: yesJournal of Marine Science and Engineering, 2022
Underwater target classification methods based on deep learning suffer from obvious model overfitting and low recognition accuracy in the case of small samples and complex underwater environments.
Yule Chen, Hong Liang, Shuo Pang
doaj   +1 more source

Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik   +8 more
wiley   +1 more source

Integrated Reconstruction of Late Quaternary Geomorphology and Sediment Dynamics of Prokljan Lake and Krka River Estuary, Croatia

open access: yesRemote Sensing, 2023
The upper part of the Krka River estuary and Prokljan Lake are a specific example of a well-stratified estuarine environment in a submerged river canyon.
Ozren Hasan   +5 more
doaj   +1 more source

Feature of Echo Envelope Fluctuation and Its Application in the Discrimination of Underwater Real Echo and Synthetic Echo

open access: yesApplied Sciences, 2018
Discriminating a real underwater target echo from a synthetic echo is a key challenge to identifying an underwater target. The structure of an echo envelope contains information which closely relates to the physical parameters of the underwater target ...
Yunfei Chen   +4 more
doaj   +1 more source

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