Results 71 to 80 of about 2,134,531 (182)
Feature-engine: A Python package for feature engineering for machine learning [PDF]
openaire +1 more source
Prediction The development of Quantitative structure property relationship (QSPR) models for predicting corrosion inhibition efficiency (IE) often faces challenges due to small datasets, which heightens the risk of overfitting and results in less ...
Sahrul Amri +2 more
doaj +1 more source
Accurate prediction of significant wave height (SWH) is central to coastal ocean dynamics, wave–climate assessment, and operational marine forecasting, yet many high-performing machine-learning (ML) models remain opaque and weakly connected to underlying
Ahmet Durap
doaj +1 more source
X-ray absorption near-edge structure (XANES) spectra are employed to characterise the coordination numbers of metallic elements within materials. However, conventional XANES analysis methods frequently rely on preconceived assumptions regarding the ...
Jianan Gao +3 more
doaj +1 more source
Identifying Malware Packers through Multilayer Feature Engineering in Static Analysis
This research addresses a critical need in the ongoing battle against malware, particularly in the form of obfuscated malware, which presents a formidable challenge in the realm of cybersecurity.
Ehab Alkhateeb +2 more
doaj +1 more source
TAGINE: fast taxonomy-based feature engineering for microbiome analysis. [PDF]
Baum S +4 more
europepmc +1 more source
Primacy of feature engineering over architectural complexity for intermittent demand forecasting. [PDF]
Nathan BS +5 more
europepmc +1 more source
Enhancing explainability and performance of the depression detection model on social media utilizing feature engineering and LLMs. [PDF]
Thamrin SA, Chen ALP.
europepmc +1 more source
A Novel Hybrid Approach To Drought Forecasting: Leveraging Feature Engineering And Ensemble Methods. [PDF]
Charjan O +3 more
europepmc +1 more source
Machine Learning-Enhanced MEC Sensors with Feature Engineering for Quantitative Analysis of Multi-Component Toxicants. [PDF]
Yan J, Liang R, Yan W, Wang X.
europepmc +1 more source

