Evidence map›Paper›PMID 40292710›Full record

ArticleSensors (Basel, Switzerland)2025

Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability.

Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Integrating data-driven models and process expertise in soft-sensor design for a wastewater treatment digital twin application.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Cheng QiuDepartment of Material and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.
Qingchuan LiDepartment of Material and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.
Jiang JingDepartment of Material and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.
Ningbo TanDepartment of Material and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.
Jieping WuDepartment of Material and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.ORCID 0000-0002-3999-2110
Mingxi WangSchool of Chemical and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430070, China.
Qianglin LiDepartment of Material and Environmental Engineering, Chengdu Technological University, Chengdu 611730, China.

Funding

Sichuan Provincial Engineering Research Center of Small and Medium Intelligent Wastewater Treatment Equipment 2025GCKF001
6 · The paper itself

Abstract

The study addresses the critical issue of accurately predicting ammonia nitrogen (NH

Indexed as

ammonia nitrogen predictionautomatic controllong short-term memory networksequencing batch reactortransformer network

Identifiers

PMID40292710
PMCPMC11944736

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.