IEEE

High-Precision Modeling of Industrial Process Using Lightweight Deep Forest Regression with Its Application

Abstract: As an amendment to the deep forest, deep forest regression (DFR) has been recently proposed for industrial process modeling. However, training DFR models is an arduous task in terms of ...
GitHub

SAP Skills for Claude Code

Production-ready Claude Code plugins for SAP development. Each plugin provides context-aware skills that activate automatically when you work with SAP BTP, CAP, Fiori, ABAP, Analytics, and more. Note: ...
IEEE

Semi-Supervised Probabilistic Learning Network for Soft Sensor Modeling With Partially Labeled Data

Abstract: Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend ...
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

Data from 11 hospitals were collected. An unsupervised clustering model was used to extract classification patterns, and clinical experts assigned disease labels. Multiple machine learning models, ...
Frontiers

Revisiting the relationship between the big five personality traits and flow using meta-analytic structural equation modeling: a methodological perspective on Buseyne et al. (2025)

Flow is a state of optimal experience characterized by deep concentration, immersion, and intrinsic enjoyment, and it is widely regarded as a key psychological mechanism that promotes learning ...