Data reduction in big data: a survey of methods, challenges and future directions
Data reduction plays a pivotal role in managing and analyzing big data, which is
characterized by its volume, velocity, variety, veracity, value, variability, and visibility …
characterized by its volume, velocity, variety, veracity, value, variability, and visibility …
Development and evaluation of a novel framework to enhance k-NN algorithm's accuracy in data sparsity contexts
This paper presents a novel framework for implementing the k-NN algorithm, designed to
enhance its accuracy in contexts with sparse data. The framework addresses limitations in …
enhance its accuracy in contexts with sparse data. The framework addresses limitations in …
Regression-based prediction of flow-induced dominant vibrational frequencies in two-phase flow regimes
An extensive spectrum of vibrational frequencies exists in two-phase Flow Induced
Vibrations (FIVs) due to the presence of diverse flow patterns. The distinct behavior of flow …
Vibrations (FIVs) due to the presence of diverse flow patterns. The distinct behavior of flow …
[HTML][HTML] Teaching classical machine learning as a graduate-level course in chemical engineering: An algorithmic approach
KE Pilario - Digital Chemical Engineering, 2024 - Elsevier
The demand for engineering graduates with technical skills in data science, machine
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …
Lightweight Real-Time Network for Multiphase Flow Patterns Identification Based on Upward inclined Pipeline Pressure Data
F Wang, Y Zhang, Y Xu, Q Zheng - Flow Measurement and Instrumentation, 2025 - Elsevier
Within the realm of oil and gas pipelines, multiphase flow phenomena are universal
existence. To mitigate the various potential hazards caused by multiphase flow, accurate …
existence. To mitigate the various potential hazards caused by multiphase flow, accurate …
[PDF][PDF] Digital Chemical Engineering
KE Pilario - 2000 - researchgate.net
The demand for engineering graduates with technical skills in data science, machine
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …
learning (ML), and artificial intelligence (AI) is now growing. Chemical engineering (ChemE) …