{
  "identifier": "tag:aim-pro.eu,2026:oer/6ce0fbb4d30e/record",
  "profile": "aimpro-oer-profile/1",
  "normaliser": "oerlib.metadata/2",
  "status": "ready",
  "normalised_at": "2026-10-09T10:07:11+00:00",
  "resource": {
    "id": "6ce0fbb4d30e",
    "identifier": "tag:aim-pro.eu,2026:oer/6ce0fbb4d30e",
    "uri": "https://zenodo.org/records/3946325",
    "title": "Deep Learning Techniques for Complex Problems",
    "description": "Mimicking the brain is the most challenging task in the field of computer science since its origin. To achieve this many technologies were introduced namely Artificial intelligence, Machine learning, Neural networks, Deep learning. Among these Deep learning is the promising technique for the problems, which are not solved by neural network. In this paper we discussed the meaning of deep learning, it's scope, classification and Application. In addition to this we also discussed the future research using deep learning technique.",
    "creators": [
      "Renuka Rajendra B",
      "Sharana Basavana Gowda"
    ],
    "keywords": [
      "Artificial Intelligence; Deep learning; Representation learning."
    ],
    "kind": "pdf",
    "content_language": "en",
    "declared_language": "eng",
    "word_count": 2140,
    "content_hash": "856dab9573ff9600",
    "metadata_only": false
  },
  "licence": {
    "raw": "cc-by-4.0",
    "spdx": "CC-BY-4.0",
    "uri": "https://creativecommons.org/licenses/by/4.0/",
    "verdict": "OPEN",
    "note": "open, permissive",
    "ingestable": true,
    "commercial_ok": true,
    "derivable": true,
    "share_alike": false,
    "evidence": {
      "scope": "all files in this Zenodo record",
      "method": "Zenodo REST record metadata",
      "schema": 1,
      "status": "captured",
      "location": "metadata.license.id",
      "source_url": "https://zenodo.org/api/records/3946325",
      "asserted_by": "Zenodo record owner/depositor",
      "captured_at": "2026-10-09T10:05:47+00:00",
      "source_system": "zenodo",
      "observed_value": "cc-by-4.0",
      "documentation_url": "https://developers.zenodo.org/#records",
      "responsibility_url": "https://help.zenodo.org/docs/deposit/describe-records/licenses/",
      "documentation_label": "Zenodo REST records documentation",
      "responsibility_note": "The depositor selects the required record licence; Zenodo publishes that metadata assertion."
    }
  },
  "descriptive": {
    "contributions": [
      {
        "name": "Renuka Rajendra B",
        "role": "author",
        "affiliation": "Assistant Professor, Department of CSE, JSSATE, Bangalore, India.",
        "identifier": "",
        "scope": "resource"
      },
      {
        "name": "Sharana Basavana Gowda",
        "role": "author",
        "affiliation": "Assistant Professor, Department of CSE, JSSATE, Bangalore, India.",
        "identifier": "",
        "scope": "resource"
      }
    ],
    "identifiers": [
      {
        "scheme": "doi",
        "value": "10.5281/zenodo.3946325",
        "scope": "resource"
      },
      {
        "scheme": "zenodo-record",
        "value": "3946325",
        "scope": "resource"
      }
    ],
    "dates": [
      {
        "meaning": "issued",
        "value": "2020-07-15",
        "scope": "resource"
      },
      {
        "meaning": "created",
        "value": "2020-07-15",
        "scope": "resource"
      },
      {
        "meaning": "modified",
        "value": "2024-07-19",
        "scope": "resource"
      }
    ],
    "subjects": [
      {
        "value": "Artificial Intelligence; Deep learning; Representation learning.",
        "scheme": "",
        "scope": "resource"
      }
    ],
    "relations": [
      {
        "kind": "isversionof",
        "target": "https://doi.org/10.5281/zenodo.3946324",
        "label": "all versions of this deposit"
      }
    ],
    "educational": {
      "learning_resource_type": "",
      "intended_end_user_role": "",
      "context": "",
      "difficulty": "",
      "typical_learning_time": "",
      "description": ""
    },
    "container": {
      "kind": "",
      "uri": "",
      "title": "",
      "description": "",
      "identifier": ""
    },
    "declared_language": "eng",
    "declared_type": "Journal article",
    "rights_holder": "",
    "access_rights": "open",
    "publisher": "",
    "version": "",
    "citation": "Journal of Advances in Computational Intelligence Theory, vol. 2(2), pp. 1-5",
    "notes": "",
    "lifecycle_status": "",
    "structure_role": "",
    "snapshot": {
      "file": {},
      "resource": {
        "id": 3946325,
        "doi": "10.5281/zenodo.3946325",
        "title": "Deep Learning Techniques for Complex Problems",
        "created": "2020-07-15T11:42:11.560364+00:00",
        "journal": {
          "issue": "2",
          "pages": "1-5",
          "title": "Journal of Advances in Computational Intelligence Theory",
          "volume": "2"
        },
        "license": {
          "id": "cc-by-4.0"
        },
        "updated": "2024-07-19T18:07:30.294238+00:00",
        "creators": [
          {
            "name": "Renuka Rajendra B",
            "affiliation": "Assistant Professor, Department of CSE, JSSATE, Bangalore, India."
          },
          {
            "name": "Sharana Basavana Gowda",
            "affiliation": "Assistant Professor, Department of CSE, JSSATE, Bangalore, India."
          }
        ],
        "keywords": [
          "Artificial Intelligence; Deep learning; Representation learning."
        ],
        "language": "eng",
        "conceptdoi": "10.5281/zenodo.3946324",
        "description": "Mimicking the brain is the most challenging task in the field of computer science since its origin. To achieve this many technologies were introduced namely Artificial intelligence, Machine learning, Neural networks, Deep learning. Among these Deep learning is the promising technique for the problems, which are not solved by neural network. In this paper we discussed the meaning of deep learning, it's scope, classification and Application. In addition to this we also discussed the future research using deep learning technique.",
        "access_right": "open",
        "conceptrecid": "3946324",
        "resource_type": {
          "type": "publication",
          "title": "Journal article",
          "subtype": "article"
        },
        "publication_date": "2020-07-15"
      }
    }
  },
  "representations": [
    {
      "role": "original",
      "media_type": "application/pdf",
      "size_bytes": 146587,
      "filename": "Deep Learning -Formatted Paper.pdf",
      "location": "",
      "source_format": "",
      "converter": ""
    },
    {
      "role": "extracted",
      "media_type": "text/markdown",
      "size_bytes": 14165,
      "filename": "",
      "location": "",
      "source_format": "pdf",
      "converter": "pdf-inspector"
    }
  ],
  "observed": {
    "language": {
      "method": "declared",
      "reason": "declared English",
      "accepted": true,
      "declared": "eng",
      "detected": "en",
      "confidence": null,
      "review_required": false
    }
  },
  "collection": {
    "source": "zenodo",
    "source_label": "Zenodo",
    "collected_at": "2026-10-09T10:07:11.140018+00:00",
    "query": "(\"artificial intelligence\" OR \"machine learning\" OR \"generative AI\" OR \"deep learning\" OR \"reinforcement learning\" OR \"large language model\" OR \"AI\") AND (\"AI concepts\" OR \"types of AI\" OR \"AI fundamentals\" OR \"recognizing AI\" OR \"recognising AI\" OR \"general versus narrow AI\" OR \"narrow AI\" OR \"general AI\" OR \"machine intelligence\" OR \"AI strengths and weaknesses\" OR \"traditional software\" OR \"rule-based systems\" OR \"introduction to AI\" OR \"introduction to artificial intelligence\" OR \"artificial intelligence introduction\" OR \"AI primer\" OR \"foundations of artificial intelligence\" OR \"overview of AI\" OR \"understanding AI\" OR \"history of AI\" OR \"AI essentials\" OR \"AI terminology\" OR \"metaphors for AI\" OR \"AI fundamental concepts\" OR \"AI key concepts\" OR \"philosophy of AI\" OR \"critical AI literacy\")",
    "note": "where this was collected from. Not a claim that the provider published or authored it"
  },
  "provenance": [
    {
      "field": "resource_id",
      "scope": "resource",
      "method": "engine",
      "evidence_ref": "engine#/resource_id"
    },
    {
      "field": "query",
      "scope": "resource",
      "method": "engine",
      "evidence_ref": "engine#/query"
    },
    {
      "field": "collected_from",
      "scope": "resource",
      "method": "engine",
      "evidence_ref": "engine#/source"
    },
    {
      "field": "title",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/title"
    },
    {
      "field": "description",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/description"
    },
    {
      "field": "citation",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/journal/title"
    },
    {
      "field": "subjects",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/keywords/0"
    },
    {
      "field": "contributions",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/creators/0/name"
    },
    {
      "field": "contributions",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/creators/1/name"
    },
    {
      "field": "dates",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/publication_date"
    },
    {
      "field": "dates",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource"
    },
    {
      "field": "identifiers",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/doi"
    },
    {
      "field": "identifiers",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource"
    },
    {
      "field": "relations",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource"
    },
    {
      "field": "content_language",
      "scope": "resource",
      "method": "gate_observation",
      "evidence_ref": "gate#/language/declared"
    },
    {
      "field": "declared_language",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/language"
    },
    {
      "field": "licence",
      "scope": "resource",
      "method": "gate_observation",
      "evidence_ref": "gate#/licence/evidence"
    },
    {
      "field": "access_rights",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/access_right"
    },
    {
      "field": "representations",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource"
    },
    {
      "field": "representations",
      "scope": "resource",
      "method": "conversion",
      "evidence_ref": "conversion#/pdf"
    },
    {
      "field": "declared_type",
      "scope": "resource",
      "method": "source_metadata",
      "evidence_ref": "snapshot#/resource/resource_type/title"
    },
    {
      "field": "educational",
      "scope": "resource",
      "method": "declared_type_mapping",
      "evidence_ref": "profile#/learning_resource_type/Journal article"
    }
  ],
  "incidents": [
    {
      "code": "absent",
      "field": "rights_holder",
      "detail": "no rights holder is named at source; the licence is recorded without one rather than attributed to the platform that served it"
    },
    {
      "code": "absent",
      "field": "publisher",
      "detail": "the source named no publisher of the work; where it was collected from is recorded as collection provenance instead, which is a different claim"
    },
    {
      "code": "absent",
      "field": "educational",
      "detail": "the source declared no educational metadata — no resource type, audience, context, difficulty or learning time. Nothing here estimates them"
    }
  ],
  "inferred": [
    {
      "rule": "purpose.declared_type",
      "field": "purpose",
      "value": "reference",
      "method": "inferred",
      "evidence": {
        "declared_type": "Journal article"
      },
      "rule_version": "purpose/1"
    }
  ]
}