Results 71 to 80 of about 3,751 (165)

An Overview of Artificial Intelligence and Machine Learning Approaches for Building Energy Analysis, Characterization, Control, and Grid Support Services Provision

open access: yesWIREs Energy and Environment, Volume 15, Issue 2, June 2026.
Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant   +11 more
wiley   +1 more source

Operational Risk Management using a Fuzzy Logic Inference System [PDF]

open access: yes
Operational Risk (OR) results from endogenous and exogenous risk factors, as diverse and complex to assess as human resources and technology, which may not be properly measured using traditional quantitative approaches.
Alejandro Reveiz, Carlos León
core  

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

A Bibliometric Analysis of Process Mining

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Process mining studies with numbers. ABSTRACT Process mining (PM) has emerged as a pivotal discipline in data science, bridging traditional process analysis with data‐driven techniques to extract actionable insights from event logs. This study conducts a comprehensive bibliometric analysis of 1764 peer‐reviewed articles from the Web of Science database
Seyfullah Tokumaci   +2 more
wiley   +1 more source

Efficient Surface Roughness Prediction in Laser Micromachining via Explainability‐Driven Feature Reduction

open access: yesExpert Systems, Volume 43, Issue 6, June 2026.
ABSTRACT Ultra‐short pulse (USP) laser micromachining is a key technology for sustainable manufacturing, offering high precision and minimal thermal damage across a wide range of materials. To enable its effective deployment in industrial environments, it is essential to develop monitoring systems capable of accurately predicting surface roughness at ...
Miguel Camacho‐Sánchez   +6 more
wiley   +1 more source

Applicability Study of a Diffusion Transformer Forecasting Model in the Complex Terrain of Guizhou

open access: yesMeteorological Applications, Volume 33, Issue 3, May/June 2026.
Performance comparison of the HARE model and the Fenglei baseline across four evaluation metrics (CSI, POD, FAR, and Frequency Bias) over a 142‐day verification period. ABSTRACT Precipitation nowcasting in complex terrains like the Guizhou Plateau is challenged by the blurry forecasts and premature dissipation common in traditional and early deep ...
Congying Li   +8 more
wiley   +1 more source

Unveiling Stock Market Trends by Deep Learning Insights With Correction Factor and Recurrent Neural Networks

open access: yesExpert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT Understanding financial behaviour, particularly in the stock market, has attracted significant interest in recent years due to advancements in artificial intelligence and its impact on the global economy. The field of stock market prediction, which explores the interaction between finance and computer science to create predictive models, aims ...
Jair O. González   +4 more
wiley   +1 more source

Imbalance‐Aware Credit Card Fraud Detection Using Multi‐Autoencoders and Generative Ensemble Learning

open access: yesExpert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT Credit card fraud detection remains a challenging research problem due to the class imbalance issue caused by the rarity of fraudulent transactions. Classical oversampling techniques such as SMOTE, ADASYN and their variants help balance data but do not reflect the nonlinear structure of real‐world fraud, leading to poor generalization.
Sultan Alharbi   +2 more
wiley   +1 more source

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

open access: yesObesity Reviews, Volume 27, Issue 5, May 2026.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini   +4 more
wiley   +1 more source

Evolutionarily Optimal Risk Aversion

open access: yesRisk Analysis, Volume 46, Issue 5, May 2026.
ABSTRACT In an experimental choice situation, we identify risk‐acceptability thresholds and show how such thresholds are updated in response to benchmark information, a recurrent feature of health, safety, and environmental (HS&E) risk governance. We present a theoretical framework linking the observed behavior to an underlying evolutionary parameter ...
Chmura, Nguyen, Biermann
wiley   +1 more source

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