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Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera   +2 more
wiley   +1 more source

Kinematic analysis of an unrestrained passenger in an autonomous vehicle during emergency braking. [PDF]

open access: yesFront Bioeng Biotechnol
Santos-Cuadros S   +3 more
europepmc   +1 more source

Validation of inertial measurement units based on waveform similarity assessment against a photogrammetry system for gait kinematic analysis. [PDF]

open access: yesFront Bioeng Biotechnol
Blanco-Coloma L   +7 more
europepmc   +1 more source
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Kinematical analysis of Wunderlich mechanism

Mechanism and Machine Theory, 2013
Abstract We analyze the configuration space of Wunderlich mechanism using tools of computational algebraic geometry. We provide the complete description of the configuration space of the Wunderlich mechanism by computing the prime decomposition of the relevant variety and analyzing all of its prime components. We analyze also the effect of the choice
Tuomela Jukka   +2 more
openaire   +1 more source

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