Bit Allocation in Spatially Correlated Sensor Fields: A Comparative Study of Contribution-Aware and Heuristic Approaches. [PDF]
Byun SS.
europepmc +1 more source
The Role of Admission Probabilities in the Deferred Acceptance Mechanism: An Experimental Study
ABSTRACT Although students theoretically need not consider admission probabilities under strategy‐proof mechanisms in school choice problems, our study reveals a significant correlation between students' applications and their beliefs about admission probabilities in the deferred acceptance mechanism.
Shuxian Hong, Yi Yang
wiley +1 more source
A Dynamic Prognosis Model of Patients with Chronic Heart Failure: A Prospective Cohort Study Using Follow-Up Data and Recurrent Neural Networks. [PDF]
Zhang Y +6 more
europepmc +1 more source
Artificial intelligence‐assisted nanozyme design for medical and environmental applications
AI‐assisted nanozyme design integrates cross‐source data and machine learning to enable predictive structure‐activity relationships, accelerating intelligent diagnostics, precision therapeutics, and environmental surveillance. Abstract Nanozymes, a class of nanomaterials with intrinsic enzyme‐like catalytic activities, have emerged as promising ...
Xiaolin Guo +7 more
wiley +1 more source
Boosting the Predictive Power of Virus-Specific T-Cell Clinical Trials via Generative Models. [PDF]
Chansky P +9 more
europepmc +1 more source
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu +11 more
wiley +1 more source
Understanding the European energy crisis through structural causal models. [PDF]
Schreyer S +7 more
europepmc +1 more source
Four decades of UTCI data show increasing thermal stress along Ghana's coastal‐urban corridor, with very strong heat‐stress days rising by about 1.4 days/year. Random Forest–SHAP analysis with temporal validation identified AOD as the strongest model‐based predictor of monthly UTCI variability, followed by TSA, WHWP, and AMO.
Kwadwo Frimpong +3 more
wiley +1 more source
Explainable artificial intelligence for predicting mortality in geriatric patients undergoing hip arthroplasty: Machine learning analysis using national health insurance data. [PDF]
Seong H +7 more
europepmc +1 more source
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das +2 more
wiley +1 more source

