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

