Results 111 to 120 of about 203,140 (297)

Problems of Professional Competence, Remediation Interventions, and Outcomes in Counselor Education: A Case‐Level Study

open access: yesCounselor Education and Supervision, EarlyView.
ABSTRACT This study examined PPCs, remediation interventions, and outcomes in completed remediation cases within CACREP‐accredited counselor education programs. Full‐time counselor educators who served as primary faculty on at least one completed remediation in the past 3 years completed a brief survey for each case, yielding 80 unique remediation ...
Lena Salpietro   +2 more
wiley   +1 more source

Financial Risk Measurement with Imprecise Probabilities [PDF]

open access: yes, 2008
Although financial risk measurement is a largely investigated research area, its relationship with imprecise probabilities has been mostly overlooked.
VICIG, PAOLO
core   +1 more source

Markov Chain Modeling for Predicting the Service Life of Buildings and Structural Components

open access: yesApplied Sciences
Accurate prediction and management of the service life of buildings and structural components are crucial for ensuring durability and economic efficiency.
Artur Zbiciak   +4 more
doaj   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales   +6 more
wiley   +1 more source

Quantifying Uncertainty for System Failure Prognostics: Enhanced Approach Based on Interval-Valued Probabilities

open access: yesChemical Engineering Transactions, 2013
Failure prognostics being performed for any complex industrial system typically meets serious obstacles caused by uncertainty. This uncertainty actually has a hierarchical structure due to the peculiarities of its influence to the prognostics results ...
V. Krymsky
doaj   +1 more source

The AI Sustainability Paradox: How Verification and Regulation Synergize to Curb Greenwashing in Emerging Markets

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Artificial intelligence (AI) reflects a paradox for corporate sustainability: it provides tools for genuine socio‐economic improvement and enables greenwashing at scale. This study examines this duality in emerging Asian markets, where rapid AI adoption coincides with evolving regulatory regimes.
Ashutosh Yadav, Simplice A. Asongu
wiley   +1 more source

An algebraic treatment of imprecise probabilities

open access: yes, 2011
This is a survey paper about an algebraic approach to imprecise probabilities. In the first part of it, we outline the work by Walley on imprecise probabilities and the more algebraic approach of Fedel et al. Then, in the second part we will present some
MONTAGNA F., Franco Montagna
core   +1 more source

Effect of shape factor on structural reliability analysis of a surface cracked pipeline-parametric study

open access: yesFracture and Structural Integrity, 2019
The variation of crack shape factor (a/c) during propagation has an important role on calculation of the stress intensity factor (SIF), where imprecise estimation of this latter can lead us to an inaccurate prediction of failure probabilities.
Abdelkader Guillal   +4 more
doaj   +1 more source

Imprecise probabilities in finance and economics

open access: yesInternational Journal of Approximate Reasoning, 2008
n ...
openaire   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li   +7 more
wiley   +1 more source

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