Results 231 to 240 of about 50,402 (312)

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport. [PDF]

open access: yesProc AAAI ACM Conf AI Ethics Soc
Liu P   +6 more
europepmc   +1 more source

New Policies Exploiting Randomness of Lead Times in Inventory Systems

open access: yesNaval Research Logistics (NRL), Volume 73, Issue 1, Page 77-98, February 2026.
ABSTRACT Recent research provided proof‐of‐concept that the randomness of lead times in inventory systems can be exploited to achieve large—potentially unlimited—performance improvements, compared to the case of constant lead time. Specifically, the Generalized Base Stock (GBS) policy serves as such proof‐of‐concept—it can deliver unlimited ...
Alexander L. Stolyar   +2 more
wiley   +1 more source

Dimensional Stability and Mechanical Performance of Thermally Conditioned High‐Heat Polylactic Acid Parts Produced by Fused Filament Fabrication

open access: yesPolymer Engineering &Science, Volume 66, Issue 2, Page 941-958, February 2026.
Dimensional accuracy and tensile strength of high‐heat PLA parts printed by FFF as a function of printing temperature and annealing, highlighting the 210‐240°C window where geometry, UTS and model predictions are jointly optimized. ABSTRACT Additively manufactured high‐heat PLA parts must balance dimensional fidelity and tensile performance.
Cleiton Lazaro Fazolo de Assis   +2 more
wiley   +1 more source

A Digital Twin of Atomic Ensemble Quantum Memory Experiments Based on an Effective Quantum Channel Description

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 2, February 2026.
A tool to model ensemble‐based atomic quantum memory experiments using the quantum channel formalism is presented, incorporating realistic loss and noise effects. It provides a digital twin of state‐of‐the‐art memories and demonstrates its applicability through a simulation of a memory‐assisted quantum token protocol. The framework is easily extendable
Elizabeth Jane Robertson   +3 more
wiley   +1 more source

Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling   +2 more
wiley   +1 more source

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