Results 281 to 290 of about 175,201 (351)

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

The privacy protection of the internet of vehicles resource transaction details based on blockchain. [PDF]

PLoS One
Chen J, Li T, Huang M.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

A Non-Contact Privacy Protection Bed Angle Estimation Method Based on LiDAR. [PDF]

Sensors (Basel)
Ju Y, Li Y, Zhang H, Xin L, Zhao C, Xu Z.   +5 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

Privacy Protection for Open Sharing of Psychiatric and Behavioral Research Data: Ethical Considerations and Recommendations. [PDF]

Alpha Psychiatry
Zhang Y, Fan S, Hui H, Zhang N, Li J, Liao L, Ke C, Zhang D, Su S, Song Z, Zhang Y, Du Q, Liu L, Wang L, Yang L, Li J, Xu L, Xiao S, Shi L, Xiao X, Wang W, Sun N, He Q, Hao R, Wu J, Tian Z, Lou Y, Yao Q, Ming WK, Jiang F, Zhou X, Wang M, Sun X, Wu Y, Behavioral Epidemiology Education Working Commission of CMEA.   +34 more
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Privacy protection of sexually transmitted infections information from Chinese electronic medical records. [PDF]

Sci Rep
Gong M, Yu Y, Ouyang Z, Shi W, Liu C, Wang Q, Nan J, Cai E, Ding F, Nie S.   +9 more
europepmc   +1 more source

Attribute guided adversarial editing for face privacy protection

Yu Xu, Ziang Wang, Fan Tang, Juan Cao, Xirong Li, Jintao Li   +5 more
openalex   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source