Ontology type: schema:ScholarlyArticle
2019-04-01
AUTHORSMuhammad Asif Zahoor Raja, Ammara Mehmood, Adeel Ahmad Khan, Aneela Zameer
ABSTRACTIn this work, novel application of integrated computational heuristics is presented for computational fluid mechanics problem arising in the study of heat transfer and thermal radiation in two-phase magnetohydrodynamic (MHD) fluid flow model involving nanoparticles using the accurate approximation ability of neural networks hybrid with global exploration of genetic algorithm aided with local search exploitation of sequential quadratic programming. The networks are designed and arbitrarily combined to formulate mean squared error-based objective function for solving and governing nonlinear nanofluidic system. The designed methodology is evaluated to study the dynamics of the system by means of velocities, temperature and concentration profiles for prevailing factors based on variation in Reynolds and Schmidt numbers, as well as, rotation, radiation, magnetic, thermophoretic and Brownian parameters. The pragmatic worth of the scheme is established through statistical inferences in terms of accuracy, convergence and complexity metrics. More... »
PAGES1-33
http://scigraph.springernature.com/pub.10.1007/s00521-019-04157-1
DOIhttp://dx.doi.org/10.1007/s00521-019-04157-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1113172949
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Interdisciplinary Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "COMSATS Institute of Information Technology",
"id": "https://www.grid.ac/institutes/grid.418920.6",
"name": [
"Department of Electrical Engineering, COMSATS Institute of Information Technology, 43600, Attock, Pakistan"
],
"type": "Organization"
},
"familyName": "Raja",
"givenName": "Muhammad Asif Zahoor",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Pakistan Institute of Engineering and Applied Sciences",
"id": "https://www.grid.ac/institutes/grid.420112.4",
"name": [
"Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan"
],
"type": "Organization"
},
"familyName": "Mehmood",
"givenName": "Ammara",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Allama Iqbal Open University",
"id": "https://www.grid.ac/institutes/grid.445214.2",
"name": [
"Department of Physics, Allama Iqbal Open University, Islamabad, Pakistan"
],
"type": "Organization"
},
"familyName": "Khan",
"givenName": "Adeel Ahmad",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Pakistan Institute of Engineering and Applied Sciences",
"id": "https://www.grid.ac/institutes/grid.420112.4",
"name": [
"Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), 45650, Nilore, Islamabad, Pakistan"
],
"type": "Organization"
},
"familyName": "Zameer",
"givenName": "Aneela",
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1080/09540091.2014.907555",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002634454"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cma.2016.11.021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005966756"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-015-2046-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006238847",
"https://doi.org/10.1007/s00521-015-2046-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1140/epjp/i2015-15238-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006516279",
"https://doi.org/10.1140/epjp/i2015-15238-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1108/hff-12-2014-0387",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009055074"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1022602019183",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009899114",
"https://doi.org/10.1023/a:1022602019183"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asoc.2015.10.015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014727621"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/oca.2228",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015581205"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asoc.2015.10.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017890860"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40064-016-3093-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018893238",
"https://doi.org/10.1186/s40064-016-3093-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40064-016-3093-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018893238",
"https://doi.org/10.1186/s40064-016-3093-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neucom.2014.07.036",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019298799"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neucom.2016.08.079",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019452042"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.enconman.2016.12.032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019846178"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asoc.2016.10.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020432662"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.molliq.2014.03.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020654942"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cma.2015.06.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021332614"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jtice.2014.10.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024493488"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijheatmasstransfer.2014.08.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024679782"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-014-1762-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032317647",
"https://doi.org/10.1007/s00521-014-1762-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asoc.2014.08.055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032612153"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neucom.2015.09.123",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034788959"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2677-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035029099",
"https://doi.org/10.1007/s00521-016-2677-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2677-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035029099",
"https://doi.org/10.1007/s00521-016-2677-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/09540091.2015.1092499",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035957286"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2400-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036489540",
"https://doi.org/10.1007/s00521-016-2400-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2400-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036489540",
"https://doi.org/10.1007/s00521-016-2400-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asoc.2014.10.036",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037694622"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijheatmasstransfer.2016.04.121",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040123999"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apm.2014.11.024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041146209"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2806-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042383188",
"https://doi.org/10.1007/s00521-016-2806-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.camwa.2016.06.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044162063"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ijthermalsci.2016.08.018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044500355"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.matcom.2016.08.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045162820"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apm.2016.01.034",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047739158"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neucom.2016.09.032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050578430"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jmmm.2014.08.021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051634845"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2547-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051905517",
"https://doi.org/10.1007/s00521-016-2547-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2547-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051905517",
"https://doi.org/10.1007/s00521-016-2547-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2530-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053716585",
"https://doi.org/10.1007/s00521-016-2530-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-016-2530-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053716585",
"https://doi.org/10.1007/s00521-016-2530-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/scientificamerican0792-66",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056571710",
"https://doi.org/10.1038/scientificamerican0792-66"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tnano.2015.2416318",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061713318"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1364/oe.24.024297",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1065209061"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neucom.2017.01.053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1074242619"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.dsp.2017.02.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1083699488"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-2949-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084022534",
"https://doi.org/10.1007/s00521-017-2949-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asoc.2017.03.028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084060156"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-2991-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084517937",
"https://doi.org/10.1007/s00521-017-2991-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-2991-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084517937",
"https://doi.org/10.1007/s00521-017-2991-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-2991-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084517937",
"https://doi.org/10.1007/s00521-017-2991-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-2991-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084517937",
"https://doi.org/10.1007/s00521-017-2991-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-2991-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084517937",
"https://doi.org/10.1007/s00521-017-2991-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-3019-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085103769",
"https://doi.org/10.1007/s00521-017-3019-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-3019-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085103769",
"https://doi.org/10.1007/s00521-017-3019-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-3019-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085103769",
"https://doi.org/10.1007/s00521-017-3019-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-3019-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085103769",
"https://doi.org/10.1007/s00521-017-3019-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-3019-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085103769",
"https://doi.org/10.1007/s00521-017-3019-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00521-017-3019-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085103769",
"https://doi.org/10.1007/s00521-017-3019-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11277-017-4251-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085107665",
"https://doi.org/10.1007/s11277-017-4251-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11277-017-4251-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085107665",
"https://doi.org/10.1007/s11277-017-4251-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/01457632.2017.1320172",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085248120"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.icheatmasstransfer.2017.04.016",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1085398979"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1140/epjp/i2017-11658-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091402285",
"https://doi.org/10.1140/epjp/i2017-11658-6"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1140/epjp/i2017-11658-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1091402285",
"https://doi.org/10.1140/epjp/i2017-11658-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.asoc.2018.01.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100745472"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jtice.2018.05.046",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1105225541"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-04-01",
"datePublishedReg": "2019-04-01",
"description": "In this work, novel application of integrated computational heuristics is presented for computational fluid mechanics problem arising in the study of heat transfer and thermal radiation in two-phase magnetohydrodynamic (MHD) fluid flow model involving nanoparticles using the accurate approximation ability of neural networks hybrid with global exploration of genetic algorithm aided with local search exploitation of sequential quadratic programming. The networks are designed and arbitrarily combined to formulate mean squared error-based objective function for solving and governing nonlinear nanofluidic system. The designed methodology is evaluated to study the dynamics of the system by means of velocities, temperature and concentration profiles for prevailing factors based on variation in Reynolds and Schmidt numbers, as well as, rotation, radiation, magnetic, thermophoretic and Brownian parameters. The pragmatic worth of the scheme is established through statistical inferences in terms of accuracy, convergence and complexity metrics.",
"genre": "research_article",
"id": "sg:pub.10.1007/s00521-019-04157-1",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1104357",
"issn": [
"0941-0643",
"1433-3058"
],
"name": "Neural Computing and Applications",
"type": "Periodical"
}
],
"name": "Integrated intelligent computing for heat transfer and thermal radiation-based two-phase MHD nanofluid flow model",
"pagination": "1-33",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"5f2abc8b0c92c3d7b43ba074ee4a130c60aaa2fb3b9bf7a70bf5d0e38df06a0a"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s00521-019-04157-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1113172949"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s00521-019-04157-1",
"https://app.dimensions.ai/details/publication/pub.1113172949"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T14:03",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130831_00000006.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs00521-019-04157-1"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00521-019-04157-1'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00521-019-04157-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00521-019-04157-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00521-019-04157-1'
This table displays all metadata directly associated to this object as RDF triples.
248 TRIPLES
21 PREDICATES
75 URIs
16 LITERALS
5 BLANK NODES