Results 91 to 100 of about 534,538 (278)

Contextual modulation via low-level vision processing [PDF]

open access: yes, 2012
Gabor wavelets are well established as being useful for modeling neuronal response properties of the primary visual cortex. However, current Gabor models do not account for long-range contextual modulation. This paper introduces a new model which extends
Thornton, Barry   +3 more
core   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Vision-based obstacle avoidance for a small, Low-cost robot. [PDF]

open access: yes, 2007
This paper presents a vision-based obstacle avoidance algorithm for a small indoor mobile robot built from low-cost, and off-the-shelf electronics.
Chau Nguyen Viet   +3 more
core  

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

Preference pattern of low vision aids in glaucoma-redefining guidelines

open access: yesJournal of Clinical Ophthalmology and Research, 2016
Context: Low vision is an important aspect of glaucoma care which required custom based prescription of low vision devices (LVDs) to suit the needs of the patient. Purpose: To evaluate preference pattern of LVDs in glaucoma patients.
Sirajum Monira   +2 more
doaj   +1 more source

Obesity and low vision as a result of excessive internet use, and television viewing [PDF]

open access: yes, 2011
The technological age has resulted in children spending prolonged hours in front of television (TV) and computer screens (on the Internet). The aim of this prospective cross-sectional study is to determine the effect of this phenomenon on both childhood ...
Bener, A.   +5 more
core   +1 more source

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle   +3 more
wiley   +1 more source

Low vision assessment and training materials for use in developing countries [PDF]

open access: yes, 1994
The problems faced by developing countries for low vision assessment and training include the size and distribution of the population in relation to available resources, the lack of appropriate assessment materials, and lack of skills and knowledge in ...
Lovie-Kitchin, Jan E.   +4 more
core  

Stagniert Applied Machine Vision in den USA? [PDF]

open access: yes, 2022
S.184Von 1.-4.Juni 1992 fand in Atlanta/USA die diesjährige Konferenz zur Thematik Applied Machine Vision statt. Wie in den Vorjahren waren die Veranstalter die Society of Manufacturing Engineers (SME) und die Machine Vision Association (MVA) des SME in ...
Nickolay, B.
core  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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