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Scalable low-emissivity and RF-transparent dielectric coatings for year-round energy-saving buildings under all weather conditions

Rethinking preventive healthcare through artificial intelligence

Exploring the Vulnerabilities of Federated Learning: A Deep Dive Into Gradient Inversion Attacks

A multimodal integration pipeline for accurate diagnosis, pathogen identification, and prognosis prediction of pulmonary infections

Unsupervised Low-Light Image Enhancement With Self-Paced Learning

Optimal design of fixed and variable costs in peer-to-peer insurance with heterogeneous risk

Asymptotic Distribution-free Change-point Detection for Modern Data Based on a New Ranking Scheme

Personalized stem education empowered by artificial intelligence: a comprehensive review and content analysis

Radial neighbours for provably accurate scalable approximations of Gaussian processes

Universally Marketable Insurance under Multivariate Mixtures

Pareto-optimal reinsurance policies in the presence of individual risk constraints

A unifying approach to risk-measure-based optimal reinsurance problems with practical constraints

A neyman-pearson perspective on optimal reinsurance with constraints

Discussion of “optimal reinsurance designs based on risk measures: a review” by Jun Cai and Yichun Chi

How does reinsurance create value to an insurer? A cost-benefit analysis incorporating default risk

Functional generalizations of Hoeffding's covariance lemma and a formula for Kendall's tau

Classification Trees for Imbalanced Data: Surface-to-Volume Regularization

Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget

Demystifying the Integrated Tail Probability Expectation Formula

Optimal quantum metrology under resource constraints

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