Machine Intelligence Research Labs View Homepage


Ontology type: grid:Facility  | foaf:Organization     


Organization Info

NAME

Machine Intelligence Research Labs

HOMEPAGE

http://www.mirlabs.org/

ADDRESS

http://www.grid.ac/institutes/grid.469957.0/address-0

Publications in SciGraph latest 20 shown

  • 2019-03-16 Artificial bee colony with enhanced food locations for solving mechanical engineering design problems in JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
  • 2019-02-27 Detecting tumours by segmenting MRI images using transformed differential evolution algorithm with Kapur’s thresholding in NEURAL COMPUTING AND APPLICATIONS
  • 2019-01-21 Adaptive memetic method of multi-objective genetic evolutionary algorithm for backpropagation neural network in NEURAL COMPUTING AND APPLICATIONS
  • 2019-01 CHAOS: a parallelization scheme for training convolutional neural networks on Intel Xeon Phi in THE JOURNAL OF SUPERCOMPUTING
  • 2019-01-01 A novel fuzzy rule extraction approach using Gaussian kernel-based granular computing in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2018-10-31 A Novel Optimal Gabor Algorithm for Face Classification in SOFT COMPUTING FOR PROBLEM SOLVING
  • 2018-09-19 Adversarial neural networks for playing hide-and-search board game Scotland Yard in NEURAL COMPUTING AND APPLICATIONS
  • 2018-09 Orthogonal Taguchi-based cat algorithm for solving task scheduling problem in cloud computing in NEURAL COMPUTING AND APPLICATIONS
  • 2018-04 BULLET: Particle Swarm Optimization Based Scheduling Technique for Provisioned Cloud Resources in JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
  • 2018-04 Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree in NEURAL COMPUTING AND APPLICATIONS
  • 2018-02 ssFPA/DE: an efficient hybrid differential evolution–flower pollination algorithm based approach in INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
  • 2018-01 Rough set–BPSO model for predicting vitamin D deficiency in apparently healthy Kuwaiti women based on hair mineral analysis in NEURAL COMPUTING AND APPLICATIONS
  • 2018 Neurodegenerative Diseases Detection Through Voice Analysis in HYBRID INTELLIGENT SYSTEMS
  • 2017-12 Ideology algorithm: a socio-inspired optimization methodology in NEURAL COMPUTING AND APPLICATIONS
  • 2017-11 ATS drugs molecular structure representation using refined 3D geometric moment invariants in JOURNAL OF MATHEMATICAL CHEMISTRY
  • 2017-10 Optimized phase-space reconstruction for accurate musical-instrument signal classification in MULTIMEDIA TOOLS AND APPLICATIONS
  • 2017-06-26 Segmentation of weather radar image based on hazard severity using RDE: reconstructed mutation strategy for differential evolution algorithm in NEURAL COMPUTING AND APPLICATIONS
  • 2017-05-27 Knowledge building through optimized classification rule set generation using genetic based elitist multi objective approach in NEURAL COMPUTING AND APPLICATIONS
  • 2017 Using Data Clustering on ssFPA/DE- a Search Strategy Flower Pollination Algorithm with Differential Evolution in PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS 2016)
  • 2017 Intelligent Decision Support Systems for Sustainable Computing in INTELLIGENT DECISION SUPPORT SYSTEMS FOR SUSTAINABLE COMPUTING
  • Affiliated researchers max 50 shown

    JSON-LD is the canonical representation for SciGraph data.

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "foaf:homepage": [
          {
            "id": "http://www.mirlabs.org/"
          }
        ], 
        "grid:establishedYear": [
          {
            "@value": "1936-01-01", 
            "type": "http://www.w3.org/2001/XMLSchema#gYear"
          }
        ], 
        "grid:hasAddress": [
          {
            "id": "http://www.grid.ac/institutes/grid.469957.0/address-0"
          }
        ], 
        "grid:id": [
          {
            "@value": "grid.469957.0"
          }
        ], 
        "id": "http://www.grid.ac/institutes/grid.469957.0", 
        "rdfs:label": "Machine Intelligence Research Labs", 
        "sdDataset": "grid", 
        "skos:altLabel": [
          {
            "@value": "MIR Labs"
          }
        ], 
        "skos:prefLabel": [
          {
            "@value": "Machine Intelligence Research Labs"
          }
        ], 
        "type": [
          "http://xmlns.com/foaf/0.1/Organization", 
          "http://www.grid.ac/ontology/Facility"
        ]
      }, 
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "geo-pos:lat": [
          {
            "@value": "47.310051", 
            "type": "http://www.w3.org/2001/XMLSchema#float"
          }
        ], 
        "geo-pos:long": [
          {
            "@value": "-122.230054", 
            "type": "http://www.w3.org/2001/XMLSchema#float"
          }
        ], 
        "grid:cityName": [
          {
            "@value": "Auburn"
          }
        ], 
        "grid:countryCode": [
          {
            "@value": "US"
          }
        ], 
        "grid:countryName": [
          {
            "@value": "United States"
          }
        ], 
        "grid:hasGeonamesCity": [
          {
            "id": "http://sws.geonames.org/5785965/"
          }
        ], 
        "id": "http://www.grid.ac/institutes/grid.469957.0/address-0", 
        "sdDataset": "grid", 
        "type": [
          "http://www.grid.ac/ontology/Address"
        ]
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://www.grid.ac/institutes/grid.469957.0'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://www.grid.ac/institutes/grid.469957.0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://www.grid.ac/institutes/grid.469957.0'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://www.grid.ac/institutes/grid.469957.0'


     

    This table displays all metadata directly associated to this object as RDF triples.

    18 TRIPLES      9 PREDICATES      10 URIs      5 LITERALS

    Subject Predicate Object
    1 grid-institutes:grid.469957.0 sgo:sdDataset grid
    2 grid:establishedYear 1936-01-01
    3 grid:hasAddress grid-institutes:grid.469957.0/address-0
    4 grid:id grid.469957.0
    5 rdf:type grid:Facility
    6 foaf:Organization
    7 rdfs:label Machine Intelligence Research Labs
    8 skos:altLabel MIR Labs
    9 skos:prefLabel Machine Intelligence Research Labs
    10 foaf:homepage http://www.mirlabs.org/
    11 grid-institutes:grid.469957.0/address-0 sgo:sdDataset grid
    12 grid:cityName Auburn
    13 grid:countryCode US
    14 grid:countryName United States
    15 grid:hasGeonamesCity http://sws.geonames.org/5785965/
    16 rdf:type grid:Address
    17 geo-pos:lat 47.310051
    18 geo-pos:long -122.230054
     




    Preview window. Press ESC to close (or click here)


    ...