Results 41 to 50 of about 100,889 (161)

Fault diagnosis method for substations based on fault enumeration tree to generate fuzzy Petri net

Gong-kuang zidonghua
To address the issues of complexity and difficulty of automatic modeling in Petri net fault diagnosis models that incorporate temporal information, a fault diagnosis method for substations based on generating fuzzy Petri nets from fault enumeration trees
WU Yulun, XIAO Tannan, CHEN Ying
doaj   +1 more source

Diagnostics for Conditional Density Models and Bayesian Inference Algorithms

, 2021
Appearing in 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021), Spotlight Talk; camera-ready ...
David Zhao, Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee   +3 more
openaire   +3 more sources

FUZZY DIAGNOSTİCS OF SOİLS ACCORDİNG TO THE WORLD REFERENCE BASE FOR SOİL RESOURCES

Сучасні інформаційні системи, 2020
Soil classification remains one of the most controversial topics in the world soil science because of differences in the principles underlying it. As of today, many countries have developed and use their own national classifications.
Samira Afrasiyab Hasanova, Adalat Bakhtiyar Pashayev, Elhan Nariman Sabziev   +2 more
doaj   +1 more source

Variational Bayesian Inference for a Q-Matrix-Free Hidden Markov Log-Linear Additive Cognitive Diagnostic Model

Algorithms
Cognitive diagnostic models (CDMs) are commonly used in educational assessment to uncover the specific cognitive skills that contribute to student performance, allowing for precise identification of individual strengths and weaknesses and the design of ...
Hao Duan, James Tang, Matthew J. Madison, Michael Cotterell, Minjeong Jeon   +4 more
doaj   +1 more source

A likelihood approach to diagnostic tests in clinical medicine

Revstat Statistical Journal, 2005
This paper presents a pure likelihood approach to statistical inference and its relation to diagnostic tests in clinical medicine. The standard antagonistic frequentist approaches of Fisher and Neyman–Pearson–Wald, and the Bayesian perspective are ...
Basílio de Bragança Pereira , Carlos Alberto de Bragança Pereira   +1 more
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An interpretable machine learning method for fault diagnosis of oil-immersed transformers based on edge inference

International Journal of Electrical Power & Energy Systems
Intelligent diagnostic models using dissolved gas analysis are crucial for oil-immersed transformer fault diagnosis. However, the inherent “black box” nature of these models limits interpretability, and traditional methods that upload local data to ...
Dong Hu, Yong Yang, Hao Dai, Chao Tang, Jufang Xie   +4 more
doaj   +1 more source

An explainable deep learning framework for biosensing data interpretation in biomedical engineering and real-time health diagnostics

Frontiers in Bioengineering and Biotechnology
IntroductionThis work proposes an explainable deep learning framework to transform complex biosignal dynamics into interpretable health assessments.
Zheng Yang, Zheng Yang, Weihong Huang, Weihong Huang, Heng Zhang   +4 more
doaj   +1 more source

COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19. [PDF]

Cognit Comput, 2021
Keles A, Keles MB, Keles A.
europepmc   +1 more source

Critical thinking in math: 10th-grade analysis using cognitive diagnostic modeling

REID (Research and Evaluation in Education)
Critical thinking is widely recognized as an essential competency in mathematics education, yet assessments often fail to capture its multidimensional nature.
Muhammad Ali Gunawan, Fitri Amalia, Ari Setiawan, Hawa Husna Ab Ghani   +3 more
doaj   +1 more source

Methodology of knowledge acquisition for machinery diagnostics

Computer Assisted Methods in Engineering and Science, 2023
The paper deals with a comprehensive methodology concerning knowledge acquisition on machinery for the purpose of expert systems suitable for aiding of diagnostic inference.
Wojciech Moczulski
doaj