Results 11 to 20 of about 61 (59)

The Sociolinguistic Interpretability of Large Language Models: Directional Accuracy but Social Simplification

open access: yesJournal of Sociolinguistics, EarlyView.
ABSTRACT As rapidly improving language‐generation systems, Large Language Models (LLMs) represent an emergent site for studying sociolinguistic phenomena. We propose a framework for investigating sociolinguistic sensitivity in LLMs: the extent to which they capture not just general linguistic patterns but also the socially structured variation that ...
Viktorija Kostadinova, Matt Hunt Gardner
wiley   +1 more source

Automated planning architectures for online adaptive radiotherapy: A narrative review of the Ethos and Unity/Monaco platforms

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 9, September 2026.
Abstract Online adaptive radiotherapy (OART) modifies treatment plans using anatomy‐of‐the‐day imaging, but successful clinical implementation depends on automated planning strategies that can generate high‐quality plans within the constraints of an online workflow. This narrative review compares the automated planning architectures of the Varian Ethos
Songye Cui, Maria F. Chan, Dandan Zheng
wiley   +1 more source

Variance‐Guided Evolutionary Reinforcement Learning for Multi‐Objective Energy Scheduling in Dairy Farms

open access: yesArtificial Intelligence for Engineering, Volume 2, Issue 3, Page 289-309, September 2026.
This reflects the different optimisation objectives: The MPC formulation in Equation (22) minimises electricity cost together with a weighted thermal‐slack penalty. Its solution is therefore optimal with respect to this combined objective, rather than electricity cost alone.
Nawazish Ali, Rachael Shaw, Karl Mason
wiley   +1 more source

Pandemic emergency: A multi‐level AI framework for analyzing psychological impact through public discourse

open access: yesApplied Psychology: Health and Well-Being, Volume 18, Issue 3, June 2026.
Abstract Emergency management has become a widely discussed topic in recent years, particularly in relation to different types of emergencies such as climate change, natural disasters, public health, and armed conflicts. The Covid‐19 pandemic has triggered unprecedented uncertainty, sparking a global emergency that raised concerns not only about health
Luisa Orrù, Stefania Mannarini
wiley   +1 more source

Trading robustness: A scenario‐free approach to robust multi‐criteria optimization for treatment planning

open access: yesMedical Physics, Volume 53, Issue 5, May 2026.
Abstract Background Treatment planning in radiotherapy is inherently a multi‐criteria optimization (MCO) problem, as it requires balancing competing clinical goals. Traditionally, the treatment's robustness is not formulated as a part of this decision making problem, but dealt with separately through margins or robust optimization.
Remo Cristoforetti   +3 more
wiley   +1 more source

Solving for Blameless and Optimal Control Under Prioritized Safety Constraints

open access: yesOptimal Control Applications and Methods, Volume 47, Issue 3, Page 748-762, May/June 2026.
Summary of the proposed method for solving for blameless and optimal control sequences. ABSTRACT In many safety‐critical optimal control problems, users may request multiple safety constraints that are jointly infeasible due to external factors such as subsystem failures, unexpected disturbances, or fuel limitations.
Natalia Pavlasek   +3 more
wiley   +1 more source

On Parallel and Serial (Dis‐)Aggregation in System Dynamics Models

open access: yesSystem Dynamics Review, Volume 42, Issue 2, April/June 2026.
ABSTRACT Compartment models are widely used in system dynamics to analyze complex systems. However, determining an appropriate level of aggregation remains a methodological challenge. This paper explores how parallel and serial (dis‐)aggregation affect a model's ability to reproduce dynamics of interest, using the beer distribution game (BDG) as a case
Christian Marchetti, Andreas Größler
wiley   +1 more source

Large Language Models as Calibration Agents in Hydrological Modeling: Feasibility and Limitations

open access: yesGeophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract Large language models (LLMs) represent the forefront of artificial intelligence, exhibiting substantial potential for advancing understanding and reasoning in complex Earth system sciences. Hydrological modeling, essential for water resource management and Earth system knowledge, predominantly relies on traditional calibration paradigms and ...
Zhanliang Zhu   +7 more
wiley   +1 more source

Energy Management for Low‐Carbon Distribution System With Smart Building Prosumers and EVs Interaction

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper presents a multi‐level, multi‐objective energy management framework for low‐carbon distribution systems with smart building prosumers and electric vehicles. The proposed risk‐averse optimisation approach improves cost efficiency, reduces emissions, and enhances system stability under renewable generation uncertainties.
Armin Mohajeri Avval   +1 more
wiley   +1 more source

Determination of Transient Voltage Stability Region Boundary in Parameter Space Based on Polynomial Approximation of Improved Stability Index

open access: yesIET Generation, Transmission &Distribution, Volume 20, Issue 1, January/December 2026.
This paper proposes a polynomial approximation‐based method for determination of transient voltage stability region boundary (TVSRB) in parameter space, enabling efficient stability assessment under varying operating conditions. The method is validated in the IEEE 9‐bus system and an actual system.
Zherun Dong   +5 more
wiley   +1 more source

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