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Showing 17 of 217 academic articles

Machine learning insight in quality control and maintenance management of drilling mud pumps

Xiaoming Wu, Jingxuan Chang, Chengcheng Long, Hamzeh Ghorbani • Journal of Big Data (2026)

Abstract This study proposes a machine learning-based framework for predictive maintenance and quality control of drilling mud pumps, targeting critical operational challenges such as equipment failure, downtime, and high maintenance costs....

DOAJ Open Access (DOAJ) DOI: 10.1186/s40537-026-01475-9

Bayesian Reasoning and Machine Learning

David Barber • Cambridge University Press eBooks (2012)

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot ...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511804779

Readings in Machine Learning

JUDE W. SHAVLIK, Thomas E. Deitterich, Thomas G. Dietterich (1991)

From the Publisher: The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since the beginnings of AI in the 1950s. The 1980s saw tremendous ...

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Blockchain and Artificial Intelligence

Tshilidzi Marwala, Bo Xing • arXiv (Cornell University) (2018)

It is undeniable that artificial intelligence (AI) and blockchain concepts are spreading at a phenomenal rate. Both technologies have distinct degree of technological complexity and multi-dimensional business implications. However, a common...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1802.04451

Application of artificial intelligence to the electrocardiogram

Zachi Itzhak Attia, David Harmon, Elijah Raphael Behr, Paul A. Friedman • European Heart Journal (2021)

Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG,...

OPENALEX Open Access DOI: https://doi.org/10.1093/eurheartj/ehab649 PMC: 8500024

Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics

Mingqian Chen, Wen Li, Taoyu Hu, Jiaxiang Chang et al. • Journal of Nanobiotechnology (2025)

Abstract Quantitative, label-free monitoring of dynamic cell adhesion remains challenging. Meta-Surface Plasmon Resonance Microscopy (Meta-SPRM) is a novel platform integrating bright-field microscopy with engineered Meta-SPR nanocup arrays...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12951-025-03828-7

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts

Hatice Gürdil, Hatice Özlem Anadol, Yeşim Beril Soğuksu • Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi (2026)

This study investigated whether artificial intelligence (AI) systems could evaluate the content validity of B1-level English reading comprehension items in a manner comparable to human experts. A 25-item multiple-choice test was developed a...

DOAJ Open Access (DOAJ) DOI: 10.30964/auebfd.1807153

Intergenerational Effects of Parents’ Math Anxiety on Children’s Math Achievement and Anxiety

Erin A. Maloney, Gerardo Ramirez, Elizabeth A. Gunderson, Susan Cohen Levine et al. • Psychological Science (2015)

A large field study of children in first and second grade explored how parents' anxiety about math relates to their children's math achievement. The goal of the study was to better understand why some students perform worse in math than oth...

OPENALEX DOI: https://doi.org/10.1177/0956797615592630

Female teachers’ math anxiety affects girls’ math achievement

Sian Leah Beilock, Elizabeth A. Gunderson, Gerardo Ramirez, Susan Cohen Levine • Proceedings of the National Academy of Sciences (2010)

People's fear and anxiety about doing math--over and above actual math ability--can be an impediment to their math achievement. We show that when the math-anxious individuals are female elementary school teachers, their math anxiety carries...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.0910967107 PMC: 2836676