Results 51 to 60 of about 1,166,366 (314)

Synthetic worlds, synthetic strategies: attaining creativity in the metaverse [PDF]

open access: yes, 2009
This text will attempt to delineate the underlying theoretical premises and the definition of the output of an immersive learning approach pertaining to the visual arts to be implemented in online, three dimensional synthetic worlds.
Ayiter, Elif
core  

Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes

open access: yes, 2017
The success of deep learning in computer vision is based on availability of large annotated datasets. To lower the need for hand labeled images, virtually rendered 3D worlds have recently gained popularity. Creating realistic 3D content is challenging on
Alhaija, Hassan Abu   +4 more
core   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Early Fire Detection System by Using Automatic Synthetic Dataset Generation Model Based on Digital Twins

open access: yesApplied Sciences
Fire is amorphous and occurs differently depending on the space, environment, and material of the fire. In particular, the early detection of fires is a very important task in preventing large-scale accidents; however, there are currently almost no ...
Hyeon-Cheol Kim   +3 more
doaj   +1 more source

Synthetic worlds, synthetic strategies: attaining creativity in the metaverse [PDF]

open access: yes, 2011
This text will attempt to delineate the underlying theoretical premises and the definition of the output of an immersive learning approach pertaining to the visual arts to be implemented in online, three dimensional synthetic worlds.
Ayiter, Elif
core  

How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change

open access: yes, 2018
Direct visual localization has recently enjoyed a resurgence in popularity with the increasing availability of cheap mobile computing power. The competitive accuracy and robustness of these algorithms compared to state-of-the-art feature-based methods ...
Clement, Lee, Kelly, Jonathan
core   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova   +25 more
wiley   +1 more source

Modeling Camera Effects to Improve Visual Learning from Synthetic Data

open access: yes, 2018
Recent work has focused on generating synthetic imagery to increase the size and variability of training data for learning visual tasks in urban scenes.
A Andreopoulos   +10 more
core   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Synthetic Image Data Generation for Wiring Harness Component Detection Using Machine Learning

open access: yesEngineering Proceedings
Machine learning is a powerful tool for computer vision tasks in manufacturing, as features are automatically extracted and a high variety of components or failures are reliably detected.
Huong Giang Nguyen   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy