Results 11 to 20 of about 20,966 (203)
Study on Small Samples Active Sonar Target Recognition Based on Deep Learning
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
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
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
ARTMAP-FTR: A Neural Network For Fusion Target Recognition, With Application To Sonar Classification [PDF]
ART (Adaptive Resonance Theory) neural networks for fast, stable learning and prediction have been applied in a variety of areas. Applications include automatic mapping from satellite remote sensing data, machine tool monitoring, medical prediction ...
Carpenter, Gail A. +2 more
core +2 more sources
HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals [PDF]
Publication in the conference proceedings of EUSIPCO, Barcelona, Spain ...
Bae, Keun Sung, Kim, Taehwan
openaire +1 more source
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
core +1 more source
Efficient Approach for OS-CFAR 2D Technique Using Distributive Histograms and Breakdown Point Optimal Concept applied to Acoustic Images [PDF]
In this work, a new approach to improve the algorithmic efficiency of the Order Statistic-Constant False Alarm Rate (OS-CFAR) applied in two dimensions (2D) is presented.
Acosta, Gerardo Gabriel +3 more
core +2 more sources
Artificial lateral lines are fluid flow sensor arrays, bio-inspired by the fish lateral line organ, that measure a local hydrodynamic environment. These arrays are used to detect objects in water, without relying on light, sound, or on an active beacon ...
Ben J. Wolf +3 more
doaj +1 more source
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
Size constancy in bat biosonar? [PDF]
Perception and encoding of object size is an important feature of sensory systems. In the visual system object size is encoded by the visual angle (visual aperture) on the retina, but the aperture depends on the distance of the object. As object distance
AH Holway +44 more
core +2 more sources

