Results 181 to 190 of about 11,209 (254)

SMART: Speedy Measurement of Arabidopsis Rosette Traits

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu   +5 more
wiley   +1 more source

Nonparametric efficiency and artificial intelligence techniques in higher education: a systematic literature review and bibliometric analysis

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 3, Page 1427-1464, May 2026.
Abstract In a sector that needs to work as efficient as possible, artificial intelligence (AI) can guide the efficiency improvements of higher education institutions (HEIs). This paper explores both the AI literature and the efficiency literature as applied to HEIs following the Preferred Reporting Items for Systematic Review guidelines. The goal is to
Anna Rita Dipierro   +2 more
wiley   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

open access: yesAIChE Journal, Volume 72, Issue 4, April 2026.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana   +3 more
wiley   +1 more source

Data‐Based Refinement of Parametric Uncertainty Descriptions

open access: yesInternational Journal of Robust and Nonlinear Control, Volume 36, Issue 6, Page 3210-3228, April 2026.
ABSTRACT We consider dynamical systems with a linear fractional representation involving parametric uncertainties which are either constant or varying with time. Given a finite‐horizon input‐state or input‐output trajectory of such a system, we propose a numerical scheme which iteratively improves the available knowledge about the involved constant ...
Tobias Holicki, Carsten W. Scherer
wiley   +1 more source

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