Results 141 to 150 of about 106,354 (248)

Traceable Metamorphic Test Cases for Robust Safety‐Critical Systems: A Deep Learning LiDAR Object Detector Example

Software Testing, Verification and Reliability, Volume 36, Issue 3-4, May–June 2026.
Metamorphic testing faces the challenge of providing a traceable argumentation for why a certain metamorphic relation (MR) was chosen. We propose a methodology to create MRs by linking them to defect hypotheses. We identify eight defect‐based MRs and show how failures can be prioritized by adjusting test evaluation parameters.
Simon Speth, Tobias Springer, Jannik Fischbach, Alexander Pretschner   +3 more
wiley   +1 more source

Ergodicity and regime recoverability in finite Markov-modulated random walks. [PDF]

Sci Rep
Pambukyan A, Saudagar AKJ, Kumar S.
europepmc   +1 more source

A High‐Efficiency Multivariable TEC‐SOFTS Model for Ionospheric TEC Prediction: Validation Over China Area During Low and High Solar Activity Periods

Space Weather, Volume 24, Issue 5, May 2026.
Abstract The ionospheric Total Electron Content (TEC) is a key parameter for characterizing the ionospheric properties. In this study, an efficient multivariable time series prediction model, TEC‐Series Core Fusion and efficient multivariable time series (TEC‐SOFTS), was constructed by combining multiple geomagnetic and solar activity indices ...
Chen Chen, Ling Huang, Wenwen Li, Dezhong Chen, Hongping Zhang, Yidong Lou, Lv Zhou   +6 more
wiley   +1 more source

Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]

Quantum Mach Intell
Lim D, Doriguello JF, Rebentrost P.
europepmc   +1 more source

Investing in Game‐Based Informal Digital Learning of English (IDLE): A Chinese‐Speaking Gaming Community

International Journal of Applied Linguistics, Volume 36, Issue 2, Page 1371-1387, May 2026.
ABSTRACT As a rapidly evolving sub‐field of computer‐assisted language learning, informal digital learning of English (IDLE) has become a significant catalyst for linguistic, affective, and pedagogical development among English as a second language (L2) learners.
Yue Zhang
wiley   +1 more source

Resilient distributed model predictive control for cooperative microgrids under communication loss with demand response integration. [PDF]

PLoS One
Alghamdi B.
europepmc   +1 more source

Language machines: Toward a linguistic anthropology of large language models

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux, Michael Castelle, Anna Weichselbraun   +2 more
wiley   +1 more source

Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly-Robust and Traditional Missing Data Methods. [PDF]

Stat Med
Williamson BD, Krakauer C, Johnson E, Gruber S, Shepherd BE, van der Laan MJ, Lumley T, Lee H, Hernández-Muñoz JJ, Zhao F, Dutcher SK, Desai R, Simon GE, Shortreed SM, Nelson JC, Shaw PA.   +15 more
europepmc   +1 more source

Human tests for machine models: What lies “Beyond the Imitation Game”?

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley   +1 more source

Tests for Changes in Count Time Series Models With Exogenous Covariates

Journal of Time Series Analysis, Volume 47, Issue 3, Page 526-538, May 2026.
ABSTRACT We deal with a parametric change in models for count time series with exogenous covariates specified via the conditional distribution, i.e., with integer generalized autoregressive conditional heteroscedastic models with covariates (INGARCH‐X).
Šárka Hudecová, Marie Hušková
wiley   +1 more source