Results 11 to 20 of about 25,341,143 (317)

Interpretable analysis of transformer winding vibration characteristics: SHAP and multi-classification feature optimization

open access: yesInternational Journal of Electrical Power & Energy Systems
Current research on vibration-based winding looseness struggles to clearly determine the contribution of individual features to the model. This paper proposes using the distribution of the harmonic-to-fundamental frequency ratio as a feature for a 110 kV
Yongteng Sun, Hongzhong Ma
doaj   +3 more sources

Enhanced desalination with polyamide thin-film membranes using ensemble ML chemometric methods and SHAP analysis. [PDF]

open access: yesRSC Adv
Addressing global freshwater scarcity requires innovative technological solutions, among which desalination through thin-film composite polyamide membranes stands out.
Usman J   +7 more
europepmc   +2 more sources

Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data

open access: yesSensors, 2021
In this study, we proposed a data-driven approach to the condition monitoring of the marine engine. Although several unsupervised methods in the maritime industry have existed, the common limitation was the interpretation of the anomaly; they do not ...
Donghyun Kim   +4 more
doaj   +1 more source

Predicting gene expression in the human malaria parasite Plasmodium falciparum using histone modification, nucleosome positioning, and 3D localization features. [PDF]

open access: yes, 2019
Empirical evidence suggests that the malaria parasite Plasmodium falciparum employs a broad range of mechanisms to regulate gene transcription throughout the organism's complex life cycle.
Cook, Kate   +4 more
core   +2 more sources

Routine characterization and interpretation of complex alkali feldspar intergrowths [PDF]

open access: yes, 2015
Almost all alkali feldspar crystals contain a rich inventory of exsolution, twin, and domain microtextures that form subsequent to crystal growth and provide a record of the thermal history of the crystal and often of its involvement in replacement ...
Fitz Gerald, John D.   +2 more
core   +1 more source

Verifying explainability of a deep learning tissue classifier trained on RNA-seq data

open access: yesScientific Reports, 2021
For complex machine learning (ML) algorithms to gain widespread acceptance in decision making, we must be able to identify the features driving the predictions.
Melvyn Yap   +11 more
doaj   +1 more source

On Network Science and Mutual Information for Explaining Deep Neural Networks

open access: yes, 2020
In this paper, we present a new approach to interpret deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks.
Bhardwaj, Kartikeya   +4 more
core   +1 more source

Soliton content with quadratic nonlinearities [PDF]

open access: yes, 1999
Summary form only given. Quadratic solitons, that form through cascading in materials with second-order nonlinearities, are a topic of current intense investigation.
Artigas García, David   +4 more
core   +3 more sources

Application of machine learning to predict delayed fecundability among women in sub-Saharan Africa

open access: yesReproduction and Fertility
Delayed fecundability, defined as trying to conceive for ≥12 months without success, is a growing global concern due to the threat of fertility rates falling below the replacement level.
Meron Asmamaw Alemayehu   +13 more
doaj   +1 more source

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