Decoding China's new-type industrialization: Insights from an XGBoost-SHAP analysis
Yawen Lai, Guochao Wan, Xiaoxia Qin
semanticscholar +4 more sources
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]
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
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]
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]
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
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
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]
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
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

