Abstract: Nonlinear and non-Gaussian characteristics are common in industrial processes. Artificial neural correlation analysis (ANCA) is a good nonlinear process monitoring algorithm, which combines ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering ...

Modern enterprises generate oceans of logs that span on-prem, cloud, IoT, and OT. Think identity, device, data, network, and application events. Logs are the backbone of visibility, but logs alone do ...

The semiconductor industry is entering an era defined by heterogeneous integration and complex packaging technologies. Innovations such as wafer-on-wafer bonding, chiplets, multi-stacked die (2.5D/3D) ...

This R Markdown document performs data cleaning and exploratory analysis on the TB dataset using Python. It includes loading the dataset, basic exploration, visualization, and data preprocessing. This ...

ABSTRACT: The Edinburgh Postnatal Depression Scale (EPDS) is widely used in epidemiological, research, and clinical contexts. Although it has clearly established cut-off points, its psychometric ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

Python for Data Analysis/ ├── Month_1: Python Foundations and Data Manipulation │ ├── Week_1: Introduction and Environment Setup │ │ ├── Lecture/ │ │ ├── Practice/ │ │ ├── Assignments/ │ │ └── Data/ │ ...