Results 241 to 250 of about 166,051 (304)
Influence of simulated traffic on foundation pit deformation via machine vision technology. [PDF]
Wu X +6 more
europepmc +1 more source
CMOS‐Integrated Synaptic Photoreceptor Chip Inspired by Insect Visual Processing
CMOS‐integrated Si QDs/ReS2 synaptic photoreceptor array mimics the parallel processing and wavelength‐selective strategy of insect vision. By combining intrinsic ultraviolet‐violet sensitivity with synaptic plasticity, the chip enables frontend sensory redundancy reduction without external filters, offering a scalable pathway toward lowpower ...
Jian Chai +25 more
wiley +1 more source
Corrigendum to 'Dedicated dataset of Sapota (Manilkara zapota) fruit for machine vision applications' [Data in Brief 61 (2025) 111896]. [PDF]
Bhatt A, Joshi M.
europepmc +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Design and Development of a Precision Spraying Control System for Orchards Based on Machine Vision Detection. [PDF]
Luo Y +5 more
europepmc +1 more source
Silicon hot‐carrier photodetectors offer a CMOS‐compatible pathway for SWIR detection but suffer from intrinsically low quantum efficiency. Here, we introduce a quasi‐generalized antireflection coating (QARC) that universally enhances optical absorption and quantum efficiency, enabling the first CMOS‐compatible SWIR imaging with silicon hot‐carrier ...
Eui‐Hyoun Ryu +11 more
wiley +1 more source
A deep learning model with machine vision system for recognizing type of the food during the food consumption. [PDF]
Bohlol P, Hosseinpour S, Firouz MS.
europepmc +1 more source
Machine vision-based frailty assessment for genetically diverse mice. [PDF]
Sabnis GS, Churchill GA, Kumar V.
europepmc +1 more source

