Results 151 to 160 of about 216,973 (262)

Personalized Differential Privacy for Ridge Regression Under Output Perturbation

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT The increased application of machine learning (ML) in sensitive domains requires protecting the training data through privacy frameworks, such as differential privacy (DP). Traditional DP enforces a uniform privacy level ε$$ \varepsilon $$, which bounds the maximum privacy loss that each data point in the dataset is allowed to incur.
Krishna Acharya   +3 more
wiley   +1 more source

A Review of Metal–Organic Framework (MOF) Based Active Food Packaging: Materials Selection, Cellulose Matrices Current Advances, Synthesis and Characterizations

open access: yesPackaging Technology and Science, EarlyView.
Active packaging offers an effective approach to extending food shelf life. This review summarizes the past decade of progress in metal‐organic framework (MOF)‐based active food packaging, highlighting material selection, characterization, challenges, and future prospects.
Belladini Lovely   +4 more
wiley   +1 more source

Ensemble Kalman filter in latent space using a variational autoencoder pair

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans   +4 more
wiley   +1 more source

Failure Analysis and Maintenance Planning for Repairable Deteriorating Structural Systems Subject to Imperfect Maintenance

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT The analysis of a system that deteriorates under imperfect maintenance is essential in reliability engineering. Imperfect maintenance does not fully restore a system to its original condition, leading to complex degradation patterns. Statistical inference techniques allow for precise estimation of degradation parameters, maintenance effects ...
Reza Ahmadi, Mitra Fouladirad
wiley   +1 more source

Exploring New Chemical Paths in Quantum AI: Preliminary Accomplishments and Future Perspectives

open access: yesAdvanced Quantum Technologies, EarlyView.
Two new strategies derived from Chemical AI to promote the advancement of sustainable quantum technologies are presented and discussed. The first strategy relies on the chemical implementation of molecular fuzzy sets, which are quantum mixed states associated with chemical microheterogeneous systems. The second strategy relies on photochromic compounds
Pier Luigi Gentili
wiley   +1 more source

Home - About - Disclaimer - Privacy