Evidence map›Paper›PMID 39612172›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2024

A combined support vector regression with a firefly algorithm for prediction of energy consumption in wastewater treatment plants.

Mohammed Achite, Saeed Samadianfard, Nehal Elshaboury, Kamel Abderezak Toubal, Eslam Mohammed Abdelkader, Milad Sharafi

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mohammed AchiteFaculty of Nature and Life Sciences, Water and Environment Laboratory, Hassiba Benbouali University of Chlef, Chlef 02180, Algeria.
Saeed SamadianfardDepartment of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz 51666-16471, Iran.
Nehal ElshabouryConstruction and Project Management Research Institute, Housing and Building National Research Centre, Giza 12311, Egypt E-mail: nehal.elshabory@hbrc.edu.eg.ORCID https://orcid.org/0000-0002-7531-4173
Kamel Abderezak ToubalFaculty of Nature and Life Sciences, Water and Environment Laboratory, Hassiba Benbouali University of Chlef, Chlef 02180, Algeria.
Eslam Mohammed AbdelkaderStructural Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.
Milad SharafiDepartment of Water Engineering, Faculty of Agriculture, Urmia University, Urmia, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater treatment plants (WWTPs) comprise energy-intensive processes, serving as primary contributors to overall WWTP costs. This research study proposes a novel approach that integrates support vector regression (SVR) with the firefly algorithm (FFA) for the prediction of energy consumption in a WWTP in Chlef City, Algeria. The database comprises a comprehensive set of 1,653 samples, capturing diverse information categories. It includes chemical and physical characteristics, encompassing chemical oxygen demand, 5-day biochemical oxygen demand, potential of hydrogen, water temperature, total suspended sediment in water and basin, influent N-NH

Indexed as

AlgorithmsWaste Disposal, FluidWastewaterSupport Vector MachineWater PurificationWastewaterAlgeriaenergy consumption modelingfirefly algorithmsupport vector regressionwastewater treatment

Identifiers

PMID39612172

What OpenQuestion holds

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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.