Biomimetic model for computing missing data imputation and inconsistency reduction in pairwise comparisons matrices. [PDF]
Koczkodaj WW +3 more
europepmc +1 more source
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao +15 more
wiley +1 more source
Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification Performance. [PDF]
Aracri F +3 more
europepmc +1 more source
Artifact rejection and missing data imputation in cerebral blood flow velocity signals via trace norm minimization. [PDF]
Allan Gunn C, Hu X, Vandenberghe L.
europepmc +1 more source
Across six multinational cohorts, higher triglyceride–glucose index values are consistently associated with lower prevalent and incident anemia, despite their established adverse cardiometabolic significance. This inverse relationship varies across inflammatory, cardiovascular, and renal contexts, suggesting that glucose–lipid metabolic status carries ...
Guosong Jiang +13 more
wiley +1 more source
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta +6 more
wiley +1 more source
Dynamic Modeling and System Identification of User Engagement in mHealth Interventions using a Bayesian Approach for Missing Data Imputation. [PDF]
Mistiri ME +6 more
europepmc +1 more source
A Deep Learning Approach for Missing Data Imputation of Rating Scales Assessing Attention-Deficit Hyperactivity Disorder. [PDF]
Cheng CY +4 more
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
An Integrated Fuzzy C-Means Method for Missing Data Imputation Using Taxi GPS Data. [PDF]
Huang J, Mao B, Bai Y, Zhang T, Miao C.
europepmc +1 more source

