Neural Computing and Applications View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1991

PUBLISHER

Springer London

LANGUAGE

en

HOMEPAGE

https://link.springer.com/journal/521

Recent publications latest 20 shown

  • 2022-11-24 Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management
  • 2022-11-24 An interior search algorithm based on chaotic and crossover strategies for parameter extraction of polyphase induction machines
  • 2022-11-24 Observer-based finite-time adaptive neural network control for PMSM with state constraints
  • 2022-11-24 Bernstein-Levy differential evolution algorithm for numerical function optimization
  • 2022-11-24 An optimized artificial intelligence based technique for identifying motor imagery from EEGs for advanced brain computer interface technology
  • 2022-11-23 A comparative assessment of tree-based predictive models to estimate geopolymer concrete compressive strength
  • 2022-11-23 On the performance analysis of various features and classifiers for handwritten devanagari word recognition
  • 2022-11-23 Recognition of diseases of maize crop using deep learning models
  • 2022-11-23 Semantic-aware multi-branch interaction network for deep multimodal learning
  • 2022-11-23 Multistate time series imputation using generative adversarial network with applications to traffic data
  • 2022-11-23 Sensitive deep learning application on sleep stage scoring by using all PSG data
  • 2022-11-23 Dual-channel spatial–temporal difference graph neural network for PM2.5 forecasting
  • 2022-11-22 MPCSAN: multi-head parallel channel-spatial attention network for facial expression recognition in the wild
  • 2022-11-22 A deep-learning-based facial expression recognition method using textural features
  • 2022-11-22 An accurate flexible process planning using an adaptive genetic algorithm
  • 2022-11-22 Identifying human activities in megastores through postural data to monitor shoplifting events
  • 2022-11-22 Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age
  • 2022-11-22 Improving automated latent fingerprint detection and segmentation using deep convolutional neural network
  • 2022-11-21 Generalized complex kernel least-mean-square algorithm with adaptive kernel widths
  • 2022-11-20 A shapelet-based framework for large-scale word-level sign language database auto-construction
  • 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", 
        "contentRating": [
          {
            "author": "snip", 
            "ratingValue": "1.649999976158142", 
            "type": "Rating"
          }, 
          {
            "author": "sjr", 
            "ratingValue": "1.0700000524520874", 
            "type": "Rating"
          }
        ], 
        "description": "

    Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.

    All items relevant to building practical systems are within its scope, including but not limited to:

    • adaptive computing
    • algorithms
    • applicable neural networks theory
    • applied statistics
    • architectures
    • artificial intelligence
    • benchmarks
    • case histories of innovative applications
    • fuzzy logic
    • genetic algorithms
    • hardware implementations
    • hybrid intelligent systems
    • intelligent agents
    • intelligent control systems
    • intelligent diagnostics
    • intelligent forecasting
    • machine learning
    • neural networks
    • neuro-fuzzy systems
    • pattern recognition
    • performance measures
    • self-learning systems
    • software simulations
    • supervised and unsupervised learning methods
      system engineering and integration

    Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews, and Announcements.

    The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value.\u00a0 They will be reviewed by at least two referees.\u00a0
    For all queries relating to papers after submission, please contact the Journal Editorial Office via \u201ccontact us\u201d at Editorial Manager.

    ", "editor": [ { "familyName": "MacIntyre", "givenName": "John", "type": "Person" } ], "id": "sg:journal.1104357", "inLanguage": [ "en" ], "isAccessibleForFree": false, "issn": [ "0941-0643", "1433-3058" ], "license": "Hybrid", "name": "Neural Computing and Applications", "productId": [ { "name": "dimensions_id", "type": "PropertyValue", "value": [ "104357" ] }, { "name": "nlm_unique_id", "type": "PropertyValue", "value": [ "9313239" ] }, { "name": "nsd_ids_id", "type": "PropertyValue", "value": [ "445117" ] }, { "name": "era_ids_id", "type": "PropertyValue", "value": [ "18089" ] } ], "publisher": { "name": "Springer London", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1104357" ], "sdDataset": "journals", "sdDatePublished": "2022-12-01T06:58", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/journal/journal_0.jsonl", "startYear": "1991", "type": "Periodical", "url": "https://link.springer.com/journal/521" } ]
     

    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://scigraph.springernature.com/journal.1104357'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1104357'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1104357'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1104357'


     

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

    56 TRIPLES      20 PREDICATES      26 URIs      22 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:journal.1104357 schema:contentRating N61bb2a77feb342d8b34b34df29721642
    2 N88bb3ae4451440fabb6fd8b139e0ea6d
    3 schema:description <p><b><i>Neural Computing &amp; Applications</i></b> is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.<br/><br/>All items relevant to building practical systems are within its scope, including but not limited to:</p><ul><li>adaptive computing</li><li>algorithms</li><li>applicable neural networks theory</li><li>applied statistics</li><li>architectures</li><li>artificial intelligence</li><li>benchmarks</li><li>case histories of innovative applications</li><li>fuzzy logic</li><li>genetic algorithms</li><li>hardware implementations</li><li>hybrid intelligent systems</li><li>intelligent agents</li><li>intelligent control systems</li><li>intelligent diagnostics</li><li>intelligent forecasting</li><li>machine learning</li><li>neural networks</li><li>neuro-fuzzy systems</li><li>pattern recognition</li><li>performance measures</li><li>self-learning systems</li><li>software simulations</li><li>supervised and unsupervised learning methods<br/>system engineering and integration<br/></li></ul><p>Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews, and Announcements.<br/><br/>The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value.  They will be reviewed by at least two referees. <br/>For all queries relating to papers after submission, please contact the Journal Editorial Office via “contact us” at Editorial Manager.</p>
    4 schema:editor N1424f1074b7a46aa85074b67c2a97368
    5 schema:inLanguage en
    6 schema:isAccessibleForFree false
    7 schema:issn 0941-0643
    8 1433-3058
    9 schema:license Hybrid
    10 schema:name Neural Computing and Applications
    11 schema:productId N2a940bf2dd314e459a09077a19a6ba42
    12 N38e80062da644562baef24f99762ed59
    13 N3c08a4d7d0f64f25b7ce80ae4bc10c5d
    14 Nb8229e914efb4d77abda02936d8b9a91
    15 schema:publisher N010fef02a4424c98ab42cb26d09c1d0e
    16 schema:publisherImprint Springer
    17 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1104357
    18 schema:sdDatePublished 2022-12-01T06:58
    19 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    20 schema:sdPublisher Nf433c287988748b793918538be242bd1
    21 schema:startYear 1991
    22 schema:url https://link.springer.com/journal/521
    23 sgo:license sg:explorer/license/
    24 sgo:sdDataset journals
    25 rdf:type schema:Periodical
    26 N010fef02a4424c98ab42cb26d09c1d0e schema:name Springer London
    27 rdf:type schema:Organization
    28 N061507437d044dd9b8b7001709641be1 rdf:first snip
    29 rdf:rest rdf:nil
    30 N1424f1074b7a46aa85074b67c2a97368 rdf:first N1fb09dfbc58c47728cdd623902420483
    31 rdf:rest rdf:nil
    32 N1fb09dfbc58c47728cdd623902420483 schema:familyName MacIntyre
    33 schema:givenName John
    34 rdf:type schema:Person
    35 N2a940bf2dd314e459a09077a19a6ba42 schema:name nlm_unique_id
    36 schema:value 9313239
    37 rdf:type schema:PropertyValue
    38 N38e80062da644562baef24f99762ed59 schema:name dimensions_id
    39 schema:value 104357
    40 rdf:type schema:PropertyValue
    41 N3c08a4d7d0f64f25b7ce80ae4bc10c5d schema:name nsd_ids_id
    42 schema:value 445117
    43 rdf:type schema:PropertyValue
    44 N61bb2a77feb342d8b34b34df29721642 schema:author Nf9e84ad7e4cb49f2ae6dd45fd9e945c4
    45 schema:ratingValue 1.0700000524520874
    46 rdf:type schema:Rating
    47 N88bb3ae4451440fabb6fd8b139e0ea6d schema:author N061507437d044dd9b8b7001709641be1
    48 schema:ratingValue 1.649999976158142
    49 rdf:type schema:Rating
    50 Nb8229e914efb4d77abda02936d8b9a91 schema:name era_ids_id
    51 schema:value 18089
    52 rdf:type schema:PropertyValue
    53 Nf433c287988748b793918538be242bd1 schema:name Springer Nature - SN SciGraph project
    54 rdf:type schema:Organization
    55 Nf9e84ad7e4cb49f2ae6dd45fd9e945c4 rdf:first sjr
    56 rdf:rest rdf:nil
     




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


    ...