Evidence map›Paper›PMID 35154617›Full record

ReviewJournal of healthcare engineering2022

Implementation of Whale Optimization for Budding Healthiness of Fishes with Preprocessing Approach.

Pravin R Kshirsagar, Hariprasath Manaoharan, Vineet Tirth, Saiful Islam, Sandeep Srivastava, Varsha Sahni, M Thangamani, M M Khanapurkar, Venkatesa Prabhu Sundramurthy

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of healthcare engineering, 2022. 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. 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

9 authors.

Pravin R KshirsagarDepartment of Artificial Intelligence, G.H. Raisoni College of Engineering, Nagpur, India.ORCID 0000-0002-7381-6284
Hariprasath ManaoharanDepartment of Electronics and Communication Engineering, Audisankara College of Engineering and Technology, Gudur, Andhra Pradesh, India.
Vineet TirthMechanical Engineering Department, College of Engineering, King Khalid University, Abha 61411, Asir, Saudi Arabia.
Saiful IslamCivil Engineering Department, College of Engineering, King Khalid University, Abha 61411, Asir, Saudi Arabia.
Sandeep SrivastavaMCA Department, GL BAJAJ Institute of Technology & Management, Greater Noida, India.
Varsha SahniDepartment of Computer Science and Engineering, CT Group of Institute (CTIEMT), Shahpur, I.K.Gujral Punjab Technical University, Jalandhar, Pin 144603, India.
M ThangamaniDepartment of Information Technology, Kongu Engineering College, Perundurai, Tamilnadu, India.
M M KhanapurkarG.H. Raisoni College of Engineering, Nagpur, India.
Venkatesa Prabhu SundramurthyCenter of Excellence for Bioprocess and Biotechnology, Department of Chemical Engineering, College of Biological and Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.ORCID 0000-0003-1101-6051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines distinctive techniques for monitoring the condition of fishes in underwater and also provides tranquil procedures after catching the fishes. Once the fishes are hooked, two different techniques that are explicitly designed for smoking and drying are implemented for saving the time of fish suppliers. Existing methods do not focus on the optimization algorithms for solving this issue. When considering the optimization problem, the solution is adequate for any number of inputs at time

Indexed as

AlgorithmsWhalesAnimalsComputer SystemsFishesHumans

Identifiers

PMID35154617
PMCPMC8828318

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.