Chromatography Online

GC-MS–Informed Aroma Profiling and Sensory Lexicon Development for Cannabis Inflorescence

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
What's on Netflix

‘War Machine’ Alan Ritchson Netflix Movie: Post-Production & Potential 2026 Release

Netflix has partnered with Lionsgate to produce a brand-new sci-fi action movie starring Alan Ritchson, who is becoming a highly sought-after action star. Filming concluded in late 2024 and is ...
IEEE

A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders

Abstract: Cyberattacks, especially data injection attacks, are becoming more common as smart grids are increasingly interconnected. In addition, accurate and unbiased high-quality data is required for ...
Scientific Research Publishing

Malhi, A. and Gao, R.X. (2004) PCA-Based Feature Selection Scheme for Machine Defect Classification. IEEE Transactions on Instrumentation and Measurement, 53, 1517-1525.

ABSTRACT: One exciting area within computer vision is classifying human activities, which has diverse applications like medical informatics, human-computer interaction, surveillance, and task ...
Too Old to Operate

Predictive Utility of Diverse Machine Learning Models for PCa Local Recurrence Following RP

The following is a summary of “Practical Clinical Role of Machine Learning Models with Different Algorithms in Predicting Prostate Cancer Local Recurrence after Radical Prostatectomy,” published in ...
CU Boulder News & Events

Understanding Principal Component Analysis in PyTorch

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...