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 ...
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 ...
atlasmap-sc/ ├── preprocessing/ # Python preprocessing pipeline │ ├── atlasmap_preprocess/ │ │ ├── pipeline.py # Main pipeline │ │ ├── binning/ # Quadtree binning │ │ └── io/ # Zarr & SOMA I/O ...
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 ...
Down the street from Jeffrey Hill’s home used to be a wooded area full of trees and grass where he grew up riding dirt bikes with his friends. Years later, after moving his family back near his ...
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 ...
CHONGQING, CHINA - JULY 28: In this photo illustration, a person holds a smartphone displaying the logo of Automatic Data Processing Inc. (NASDAQ: ADP), a leading provider of human resources ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
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