IEEE

CPAD: Continuous Pre-training for Infrared Images with Advances in Data, Preprocessing, and Paradigm

Abstract: Infrared remote sensing imagery has emerged as a critical data source in environmental perception and intelligent monitoring, with significant potential in scenarios requiring robust ...
GitHub

Reliable DOM Fluorescence Prediction via Solvent Sensitive Machine Learning and Domain Refinement

This repository contains the complete code implementation for the manuscript "Reliable DOM Fluorescence Prediction via Solvent Sensitive Machine Learning and Domain Refinement". The code implements a ...
GitHub

AtlasMap: enabling low-cost, map-style exploration of million-cell single-cell atlases

atlasmap-sc/ ├── preprocessing/ # Python preprocessing pipeline │ ├── atlasmap_preprocess/ │ │ ├── pipeline.py # Main pipeline │ │ ├── binning/ # Quadtree binning │ │ └── io/ # Zarr & SOMA I/O ...
Scientific Research Publishing

Salvador, G., Luengo, J. and Herrera, F. (2015) Data Preprocessing in Data Mining. Springer.

ABSTRACT: Machine learning-based weather forecasting models are of paramount importance for almost all sectors of human activity. However, incorrect weather forecasts can have serious consequences on ...
Seeking Alpha

Automatic Data Processing: This Dividend Aristocrat Trades At A Bargain Again

ADP, Inc. maintains a solid performance with its strong client base and well-managed costs and expenses amid inflationary headwinds. Its vast market coverage, solid ties with banks, and regulatory ...
IEEE

eSNR-Adjusted Channel Decorrelation Preprocessing for AMP Data Detection in Highly Correlated THz MIMO Systems

Abstract: The approximate message passing (AMP)-based data detection is a highly effective solution for terahertz (THz) multiple-input multiple-output (MIMO) communications, enabling reliable data ...