Results 171 to 180 of about 70,734 (340)

Perspectives On Machine Learning Inference Serving in Real‐World Settings

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri   +3 more
wiley   +1 more source

Is Reading an Upstream Predictor of Science and Mathematics Achievements in PISA? A Bayesian Network Analysis for Policy Educational Interventions on Socio‐Economic Dispersion and Gender Gaps

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT This study investigates the structural relationships among reading, science and mathematics performance, socio‐economic dispersion (SES_Variance) and gender gaps using cross‐country PISA 2022 data. The primary objective is to assess whether reading functions as an upstream determinant of academic achievement and to evaluate the causal roles of
Simona‐Vasilica Oprea, Adela Bâra
wiley   +1 more source

Assessment of the factor κk,max in classification of steel fiber‐reinforced concrete

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a general approach, and results employed in a study aimed at assessing the value of a coefficient, κk,max, introduced in Annex L in EN 1992‐1‐1:2023 (EC2). This coefficient defines an upper limit of the ratio between steel fiber reinforced concrete (SFRC) characteristic and mean values of the residual tensile strengths, fR1
Ron Kesse   +2 more
wiley   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

open access: yesStructural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

Multi‐level fatigue reliability assessment of reinforced concrete railway bridges

open access: yesStructural Concrete, EarlyView.
Abstract This paper presents a multi‐level reliability framework for assessing the fatigue life of reinforced concrete (RC) railway trough bridges subjected to cyclic loading. The framework incorporates increasing levels of analytical complexity and real‐world data in four steps. First, an analytical model applies S–N curves and the Palmgren–Miner rule
Silvia Sarmiento   +7 more
wiley   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam   +9 more
wiley   +1 more source

Bayesian compressive sensing for recovering the time-frequency representation of undersampled Lamb wave signals

open access: yesApplied Acoustics, 2022
Zhe Wang   +5 more
semanticscholar   +1 more source

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