Results 221 to 230 of about 2,051,541 (361)

A process-based fire parameterization of intermediate complexity in a Dynamic Global Vegetation Model [PDF]

, 2012
Fang Li, Xiaodong Zeng, Samuel Levis
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Computationally efficient x-ray simulation framework using parameterized material attenuation models in anatomically detailed imaging. [PDF]

Med Phys
Nassi M, Mikerov M, Michielsen K, Sechopoulos I.   +3 more
europepmc   +1 more source

Parameterized analysis of complexity

, 2020
Complexity can have many forms, yet there is no single mathematical definition of complexity that they all adhere to. In this thesis, we introduce a mathematical framework for the analysis of multiple forms of complexity.Our framework is a continuation of the parameterized approach to computational complexity pioneered by Downey and Fellows ...
openaire   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Universal scaling law: transcription factors homeostatically control promoter activity. [PDF]

Signal Transduct Target Ther
Gao M, Wu A, Wu M.
europepmc   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Federated two-edge graph attention network with weighted global aggregation for electricity consumption demand forecasting. [PDF]

Sci Rep
Yang M, Ren J, Zeng L, Yang X, Li S, Ai Y, Zheng K.   +6 more
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Blood Pressure Prediction During Blood Transfusion: A Population-Informed Multi-Modal Sequential Inference Approach. [PDF]

IEEE Control Syst Lett
Kao YM, Razaei P, Shahrbabak SM, Pepino JA, Shogren ISK, Wang Y, Reisner AT, Hahn JO.   +7 more
europepmc   +1 more source