Results 151 to 160 of about 107,993 (282)
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
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
A Multi-Strategy Visual SLAM System for Motion Blur Handling in Indoor Dynamic Environments. [PDF]
Huai S, Cao L, Zhou Y, Guo Z, Gai J.
europepmc +1 more source
Cortical Visual Performance Test Setup for Parkinson's Disease Based on Motion Blur Orientation. [PDF]
Isenkul ME.
europepmc +1 more source
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley +1 more source
Quantifying motion blur by imaging shock front propagation with broadband and narrowband X-ray sources. [PDF]
Harke KJ +4 more
europepmc +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Virtual simulator for cystoscopy containing motion blur and bladder debris to aid the development of clinical tools. [PDF]
Eimen R, Scarpato KR, Bowden AK.
europepmc +1 more source
This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating multiscale attention module and an attention‐guided dual‐path fusion module to strengthen multiscale perception and cross‐layer feature interaction.
Yi Liu +4 more
wiley +1 more source
Motion blur microscopy: in vitro imaging of cell adhesion dynamics in whole blood flow. [PDF]
Goreke U +9 more
europepmc +1 more source

