Evidence map›Paper›PMID 34640887›Full record

ArticleSensors (Basel, Switzerland)2021

Numerical Study of the Environmental and Economic System through the Computational Heuristic Based on Artificial Neural Networks.

Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag Asri Ag Ibrahim, Samy Refahy Mahmoud, Mohammed Balubaid, Danda B Rawat, Joel J P C Rodrigues

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

8 authors.

Kashif NisarFaculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu Sabah 88400, Malaysia.ORCID 0000-0001-8092-4665
Zulqurnain SabirDepartment of Mathematics and Statistics, Hazara University, Mansehra 21120, Pakistan.
Muhammad Asif Zahoor RajaFuture Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou 64002, Taiwan.ORCID 0000-0001-9953-822X
Ag Asri Ag IbrahimFaculty of Computing and Informatics, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu Sabah 88400, Malaysia.ORCID 0000-0003-1793-5905
Samy Refahy MahmoudDepartment of Industrial Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Mohammed BalubaidGRC Department, Faculty of Applied studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Danda B RawatData Science and Cybersecurity Center, Deptartment of Electrical Engineering and Computer Science, Howard University, Washington, DC 20059, USA.ORCID 0000-0003-3638-3464
Joel J P C RodriguesDepartment of Electrical Engineering, Federal University of Piauí (UFPI), Teresina 64049-550, Brazil.ORCID 0000-0001-8657-3800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the numerical computation heuristic of the environmental and economic system using the artificial neural networks (ANNs) structure together with the capabilities of the heuristic global search genetic algorithm (GA) and the quick local search interior-point algorithm (IPA), i.e., ANN-GA-IPA. The environmental and economic system is dependent of three categories, execution cost of control standards and new technical diagnostics elimination costs of emergencies values and the competence of the system of industrial elements. These three elements form a nonlinear differential environmental and economic system. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions. The optimization of an error-based objective function is performed using the differential environmental and economic system and its initial conditions.

Indexed as

HeuristicsNeural Networks, ComputerAlgorithmsartificial neural networksenvironmental and economic systeminterior-pointnonlinear modelstatistical studies

Identifiers

PMID34640887
PMCPMC8512621

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.