Results 151 to 160 of about 1,838 (257)

Concept and feasibility of privacy-preserving record linkage of cancer registry data and claims data in Germany: results from the DigiNet study on stage IV non-small cell lung cancer. [PDF]

J Cancer Res Clin Oncol
Kästner A, Hampf C, Naumann P, Fiedler-Lacombe L, Kron A, Spier A, Simic D, Eilers L, Graw A, Bartholomäus S, Stang A, Reil D, Kirschner-Schwabe R, Selig JI, Wulff J, Dröge P, Ruhnke T, Günster C, Nußbaum U, Marschall U, Mohnke J, Hebbelmann A, Lührig U, Rasokat A, Mildenberger V, Stock S, Kron F, Wolf J, Bialke M, Stahl D, van den Berg N, Hoffmann W.   +31 more
europepmc   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

Secure image encryption using a 4D chaotic system and Langton's ant cellular automaton. [PDF]

Sci Rep
Alshehri H.
europepmc   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

A dynamic image encryption scheme through 2-D cellular automata and chaotic logistic map. [PDF]

Sci Rep
Abdul Y, Ramasamy V, Kukaram G, Boulaaras S, Alharbi A.   +4 more
europepmc   +1 more source

Personalized Differential Privacy for Ridge Regression Under Output Perturbation

Naval 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, Franziska Boenisch, Rakshit Naidu, Juba Ziani   +3 more
wiley   +1 more source

Harnessing chaotic bifurcation in positive feedback transistors for secure and scalable random key generation. [PDF]

Nat Commun
Im J, Ko J, Im J, Hwang J, Koo RH, Park SH, Kim J, Shin W, Woo SY, Lee JH.   +9 more
europepmc   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

GraphReco: Probabilistic Structure Recognition for Chemical Molecules

ChemistryOpen, EarlyView.
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang, Yuncheng Yu, Jyh‐Charn Liu   +2 more
wiley   +1 more source

Quantum color image encryption using a novel 4D hyperchaotic Lorenz system and Fibonacci transform. [PDF]

Sci Rep
Inam S, Kanwal S, Amir R, Ksibi A, Matloob I.   +4 more
europepmc   +1 more source