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 ...
GitHub

Organize, prepare, classify using PCA, standardization, and normalization, and apply the appropriate machine learning method for the task

There was an error while loading. Please reload this page. In this assessment, we explore a dataset containing 4601 rows and 59 columns, aiming to uncover insights ...
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 ...
Scientific Research Publishing

Face Reconstruction Using Hybrid PCA, LDP and SVM Machine Learning ()

This paper aims to develop a platform that allows face features to be extracted faster using multiple algorithms for looking up people in a large database. We will be presenting an enhanced technique ...