Results 61 to 70 of about 12,774 (258)

SMOTE-AAE-RF: A Novel Approach to Identifying Financial Fraud in Imbalanced Data Circumstances [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Nowadays, artificial intelligence (AI) and deep learning-based fraud detection methods are more powerful than conventional machine learning methods. However, the financial sector, including banks, insurance companies, the share market, and non-banking ...
Satyendra Singh Rawat, Vikas Thada, Amit Kumar Mishra   +2 more
doaj   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source

Sensemaking and CSR Character in Multinational Corporations: A Comparative Study of Headquarters and Subsidiary Practices in the UAE

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT While corporate social responsibility (CSR) scholarship assumes that organizational consistency signals effectiveness, there remains a knowledge gap about how MNCs navigate competing institutional logics between headquarters and subsidiaries. This study investigates how managerial sensemaking mediates the effects of institutional pressures on ...
Charles Antony Diab, Wendy Stubbs
wiley   +1 more source

Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection

IEEE Access
Illegal electricity users pose a significant threat to the economic and security aspects of the power system by illicitly accessing or manipulating electrical resources.
Wei Zhuang, Wen Jiang, Min Xia, Jun Liu
doaj   +1 more source

Classroom boundaries and teacher agency: Challenges of implementing Ireland's new primary curriculum

The Curriculum Journal, EarlyView.
Abstract This article reports on a doctoral study examining teacher agency in one Irish primary school at a timely moment ahead of the implementation of the new Primary Curriculum Framework in September 2025. The framework embeds teacher agency as a central professional principle, yet findings from this study reveal a more cautious and bounded reality.
Máiréad Nally, Carmel O. Sullivan, Karin Bacon   +2 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Comparison of Oversampling Techniques on Minority Data Using Imbalance Software Defect Prediction Dataset

Journal of Applied Informatics and Computing
Software Defect Prediction Dataset as a component of the Software Defect Prediction model has a very vital role. However, NASA Software Defect Prediction has a problem with imbalance in minority data.
Deni Hidayat, Lindung Parningotan Manik
doaj   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Horse surgery and survival prediction with artificial intelligence models: performance comparison of original, imputed, balanced, and feature- selected datasets [PDF]

Kafkas Universitesi Veteriner Fakültesi Dergisi
Artificial intelligence (AI) technology, while less advanced than in human medicine, holds significant potential in the field of veterinary medicine.
Pınar CİHAN
doaj   +1 more source

Spatiotemporal cellular dynamics of the notochord shape intervertebral disc morphogenesis in the mouse embryo through apoptosis and proliferation

Developmental Dynamics, EarlyView.
Abstract Background The notochord is a midline structure essential for vertebrate embryogenesis, contributing to the development of the nervous system, digestive tract, and vertebral column. In particular, notochord signaling is indispensable for proper patterning and coordinated development of alternating vertebrae and intervertebral discs (IVDs ...
Julie Warin, Estelle Balissat, Pauline Colombier, Lily Paillat, Maeva Dutilleul, Anne Camus   +5 more
wiley   +1 more source