Results 271 to 280 of about 21,934,771 (354)

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

Association between serum hypertriglyceridemia and hematological indices: data mining approaches. [PDF]

open access: yesBMC Med Inform Decis Mak
Ghiasi Hafezi S   +8 more
europepmc   +1 more source

Autonomous Intuition for Advanced Manufacturing Systems: Benefits and Tradeoffs of Presampling for Autonomous Parameterization

open access: yesAdvanced Intelligent Discovery, EarlyView.
Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham   +4 more
wiley   +1 more source

Generative Ai for Cardiovascular Cell Type‐Specific Fluorescence Colorization of Live‐Cell hPSC‐Derived Cardiac Organoids

open access: yesAdvanced Intelligent Discovery, EarlyView.
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula   +6 more
wiley   +1 more source

Two‐Stage GAN‐Based Generation of Virtual 3D Multicrystalline Silicon Reproducing Nucleation and Crystal Growth Processes Using Crystallographic Information from Real Ingots

open access: yesAdvanced Intelligent Discovery, EarlyView.
We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru   +7 more
wiley   +1 more source

From literature to biodiversity data: mining arthropod organismal and ecological traits with machine learning

open access: yes
Cornelius J   +5 more
europepmc   +1 more source

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