ML+KF for water quality parameters prediction

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-15
DOI
https://doi.org/10.5281/zenodo.14931991
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ML+KF for water quality parameters prediction

Zenodo (CERN European Organization for Nuclear Research)
Hydrological Forecasting Using AI
article

ML+KF for water quality parameters prediction

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Shandong University (CN)
Clean water and sanitation
Openalex Percentile: Top 55%
Hydrological Forecasting Using AI
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ML+KF for water quality parameters prediction · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS