How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses
This publication is intended for scientists, technicians, and decision-makers who want to start using machine learning (ML) in their projects. It provides an overview of the factors that should be considered when employing ML applications with time series (TS) data as input. Written by Eduart Murci...
Saved in:
Main Authors: | Eduart Murcia Botache, Sandra Guzman |
---|---|
Format: | Article |
Language: | English |
Published: |
The University of Florida George A. Smathers Libraries
2024-01-01
|
Series: | EDIS |
Subjects: | |
Online Access: | https://journals.flvc.org/edis/article/view/134471 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The National Biological Data System, Ministry of Science Technology and Innovation of Production of Argentina
by: Cristina Damborenea, et al.
Published: (2013-09-01) -
Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance
by: Arohi Agarwal, et al.
Published: (2025-03-01) -
REVIEW OF IDENTIFIED SHORTCOMINGS IN AQUIFER VULNERABILITY ASSESSMENTS
by: Anthony Okeh, et al.
Published: (2023-03-01) -
OPEN REGIONAL DATA AND THE USE OF AI
by: Radmila Velnerová, et al.
Published: (2024-12-01) -
Comparison of precision of a paperless electronic input method versus the conventional paper form in an andrology laboratory: a prospective study
by: Kevin K. W. Lam, et al.
Published: (2025-01-01)