Results 171 to 180 of about 4,027,935 (330)

A design-based framework for optimal stratification using super-population models with application on real data set of breast cancer. [PDF]

PLoS One
Danish F.
europepmc   +1 more source

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

Advanced 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, Tanakit Phamornratanakun, Angello Huerta Gomez, Marcel El‐Mokahal, Zhen Ma, Yunhe Feng, Huaxiao Yang   +6 more
wiley   +1 more source

Aspects of discrete mathematics and probability in the theory of machine learning

, 2007
Martin Anthony
openalex   +1 more source

Local instructional theory of probability topics based on realistic mathematics education for eight-grade students

, 2022
Armiati Armiati, Ahmad Fauzan, Yulyanti Harisman, Febrina Sya’bani   +3 more
openalex   +2 more sources

Corrigendum: Magnetic sense-dependent probabilistic decision-making in humans. [PDF]

Front Neurosci
Oh IT, Kim SC, Kim Y, Kim YH, Chae KS.
europepmc   +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

Advanced 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, Kazuma Torii, Kyoka Hara, Kentaro Kutsukake, Hiroaki Kudo, Ryoji Katsube, Takuto Kojima, Noritaka Usami   +7 more
wiley   +1 more source

Mathematical Models To Predict Kinetic Behavior and Growth Probabilities of Listeria monocytogenes on Pork Skin at Constant and Dynamic Temperatures

, 2013
Soomin Lee, Heeyoung Lee, Joo-Yeon Lee, Panagiotis Skandamis, Beom-Young Park, Mi‐Hwa Oh, Yohan Yoon   +6 more
openalex   +1 more source

Rigorous mathematical formulation of net escape velocity and net escape probability determining a macroscopic concentration

, 2022
Naoki Ikegaya, Kazuhide Ito, Mats Sandberg   +2 more
openalex   +1 more source

A Technology-Driven Assistive Learning Tool and Framework for Personalized Dyscalculia Interventions. [PDF]

Eur J Investig Health Psychol Educ
Jadhav D, Chettri SK, Tripathy AK, Saikia MJ.   +3 more
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source