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Kernel Metadata Declaration — on demand

ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.

Reads the DOI's public Crossref record; nothing is stored. Until Smart Scholars is accredited, every Declaration is marked as a draft in the XML itself.

✓ Meets every rule of the format

The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.

What the DOI identifies

Harnessing Generative Adversarial Networks and AI-Oriented Anomaly Detection Mechanisms for Resilient Fraud and Crisis Mitigation Amidst Pandemic Challenges

10.46243/jst.2022.v7.i04pp221-234 · JournalArticle — an article in a journal · Digital · Visual · Language · en

Published 2022-04-29

Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 07 · no. 04 · pp. 221–234

Principal agents

  • SRI HARSHA GRANDHI (author → Author)
  • SUNDARAPANDIAN MURUGESAN (author → Author)
  • RAJYA LAKSHMI GUDIVAKA (author → Author)
  • RAJ KUMAR GUDIVAKA (author → Author)
  • BASAVA RAMANJANEYULU GUDIVAKA (author → Author)
  • DINESH KUMAR REDDY BASANI (author → Author)
  • Longman Publishers (publisher → Publisher)

Also in the record, outside the Kernel: the abstract, the licence, 4 links, 21 references. Source: Crossref (member 25296), registered 2026-09-18, last deposited 2026-09-21.

⬇ Record (JSON) ⬇ Declaration (XML)

System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1

Each element by the standard's name and the Handbook's (in grey), read off the record.

DOI Name
DOI name
10.46243/jst.2022.v7.i04pp221-234
Referent Type
referentType
Creation
Referent Sub-Type
referentSubType
JournalArticle — an article in a journal
Referent Name(s)
referentName(s)
Harnessing Generative Adversarial Networks and AI-Oriented Anomaly Detection Mechanisms for Resilient Fraud and Crisis Mitigation Amidst Pandemic Challenges (PrincipalTitle, en)
Basic Metadata
basicMetadata
author: SRI HARSHA GRANDHI
author: SUNDARAPANDIAN MURUGESAN
author: RAJYA LAKSHMI GUDIVAKA
author: RAJ KUMAR GUDIVAKA
author: BASAVA RAMANJANEYULU GUDIVAKA
author: DINESH KUMAR REDDY BASANI
publisher: Longman Publishers
published: 2022-04-29
part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 07 · no. 04 · pp. 221–234
language: en
form: Digital · Visual · Language
Referent Identifier(s)
alternateIdentifier(s)
none besides the DOI
Registration Authority
registrationAuthorityCode
Crossref — issued by Crossref (member 25296); held here as a copy
Created Date
issueDate
2026-09-18
relatedIdentifiersnone needed — the descriptive metadata is in this record

The record

{
    "format": "smartscholars-doi-metadata/1.0",
    "doi": "10.46243/jst.2022.v7.i04pp221-234",
    "referent": "Creation",
    "type": "JournalArticle",
    "structural_type": "Digital",
    "modes": [
        "Visual"
    ],
    "characters": [
        "Language"
    ],
    "titles": [
        {
            "value": "Harnessing Generative Adversarial Networks and AI-Oriented Anomaly Detection Mechanisms for Resilient Fraud and Crisis Mitigation Amidst Pandemic Challenges",
            "type": "PrincipalTitle",
            "lang": "en"
        }
    ],
    "identifiers": [
        {
            "type": "DOI",
            "value": "10.46243/jst.2022.v7.i04pp221-234"
        }
    ],
    "agents": [
        {
            "role": "author",
            "name": {
                "given": "SRI HARSHA",
                "family": "GRANDHI"
            },
            "sequence": "first"
        },
        {
            "role": "author",
            "name": {
                "given": "SUNDARAPANDIAN",
                "family": "MURUGESAN"
            },
            "sequence": "additional"
        },
        {
            "role": "author",
            "name": {
                "given": "RAJYA",
                "family": "LAKSHMI GUDIVAKA"
            },
            "sequence": "additional"
        },
        {
            "role": "author",
            "name": {
                "given": "RAJ KUMAR",
                "family": "GUDIVAKA"
            },
            "sequence": "additional"
        },
        {
            "role": "author",
            "name": {
                "given": "BASAVA",
                "family": "RAMANJANEYULU GUDIVAKA"
            },
            "sequence": "additional"
        },
        {
            "role": "author",
            "name": {
                "given": "DINESH KUMAR",
                "family": "REDDY BASANI"
            },
            "sequence": "additional"
        },
        {
            "role": "publisher",
            "name": {
                "org": "Longman Publishers"
            }
        }
    ],
    "dates": {
        "published": "2022-04-29",
        "date_type": "PublicationDate",
        "online": "2022-04-29"
    },
    "language": "en",
    "container": {
        "type": "Journal",
        "titles": [
            {
                "value": "Journal of Science & Technology",
                "type": "PrincipalTitle"
            }
        ],
        "identifiers": [
            {
                "type": "ISSN",
                "value": "2456-5660",
                "medium": "electronic"
            }
        ],
        "volume": "07",
        "issue": "04",
        "pages": {
            "first": "221",
            "last": "234"
        }
    },
    "links": [
        {
            "url": "https://www.jst.org.in/index.php/pub/article/view/1175",
            "return_type": "text/html",
            "primary": true
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/1175/951",
            "purpose": "text-mining",
            "return_type": "application/pdf"
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/download/1175/4114",
            "purpose": "text-mining",
            "return_type": "application/xml"
        },
        {
            "url": "https://www.jst.org.in/index.php/pub/article/view/1175/951",
            "purpose": "similarity-checking"
        }
    ],
    "abstract": {
        "value": "Background Information: Resilient solutions are required because the COVID-19 pandemic has escalated fraud and system vulnerabilities across industries. In order to reduce fraud and successfully handle crises, this study combines Generative Adversarial Networks (GANs) with AI-driven anomaly detection techniques. We tackle the problems of changing threats, unbalanced data, and instantaneous adaptation in a changing environment. Objectives: In order to improve system resilience against fraud and crises, this project intends to use GANs to generate fraud scenarios, integrate AI for real-time anomaly detection, and create a hybrid framework. Achieving scalability, accuracy, and adaptability for a variety of applications amid pandemic-related challenges is its main goal.",
        "lang": "en"
    },
    "license": {
        "url": "https://creativecommons.org/licenses/by/4.0/",
        "start": "2022-04-29",
        "applies_to": "vor"
    },
    "references": [
        {
            "key": "ref1",
            "doi": "10.1080/17453674.2019.1600125",
            "unstructured": "Gan, K., Xu, D., Lin, Y., Shen, Y., Zhang, T., Hu, K.,... & Liu, Y. (2019). Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments. Acta orthopaedica, 90(4), 394-400"
        },
        {
            "key": "ref2",
            "doi": "10.18267/j.cebr.219",
            "unstructured": "Szalavetz, A. (2019). Artificial intelligence-based development strategy in dependent market economies–any room amidst big power rivalry. Central European Business Review, 8(4), 40-54"
        },
        {
            "key": "ref3",
            "doi": "10.1109/ccgrid.2019.00038",
            "unstructured": "Nedelkoski, S., Cardoso, J., & Kao, O. (2019, May). Anomaly detection and classification using distributed tracing and deep learning. In 2019 19th IEEE/ACM international symposium on cluster, cloud and grid computing (CCGRID) (pp. 241- 250). IEEE"
        },
        {
            "key": "ref4",
            "doi": "10.1002/widm.1312",
            "unstructured": "Holzinger, A., Langs, G., Denk, H., Zatloukal, K., & Müller, H. (2019). Causability and explainability of artificial intelligence in medicine. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9(4), e1312"
        },
        {
            "key": "ref5",
            "unstructured": "Aisyah, N., Hidayat, R., Zulaikha, S., Rizki, A., Yusof, Z. B., Pertiwi, D., & Ismail, F. (2019). Artificial Intelligence in Cryptographic Protocols: Securing E-Commerce Transactions and Ensuring Data Integrity"
        },
        {
            "key": "ref6",
            "unstructured": "Chummun, B. Z. (2018). How can Artificial Intelligence reduce fraud in the inclusive cover niche: a case of developing African countries. Journal of Contemporary Management, 15(Special Edition1), 1-17"
        },
        {
            "key": "ref7",
            "unstructured": "Peddi, S., Narla, S., & Valivarthi, D. T. (2018). Advancing geriatric care: Machine learning algorithms and AI applications for predicting dysphagia, delirium, and fall risks in elderly patients. Tek Leaders, 6(4), 62"
        },
        {
            "key": "ref8",
            "doi": "10.1007/978-3-030-27325-5_20",
            "unstructured": "Loukis, E., Maragoudakis, M., & Kyriakou, N. (2019). Economic crisis policy analytics based on artificial intelligence. In Electronic Government: 18th IFIP WG 8.5 Page | 234 International Conference, EGOV 2019, San Benedetto Del Tronto, Italy, September 2–4, 2019, Proceedings 18 (pp. 262-275). Springer International Publishing"
        },
        {
            "key": "ref9",
            "unstructured": "Sobel, B. L. (2017). Artificial intelligence's fair use crisis. Colum. JL & Arts, 41, 45"
        },
        {
            "key": "ref10",
            "doi": "10.1016/j.rser.2017.04.046",
            "unstructured": "Youssef, A., El-Telbany, M., & Zekry, A. (2017). The role of artificial intelligence in photo-voltaic systems design and control: A review. Renewable and Sustainable Energy Reviews, 78, 72-79"
        },
        {
            "key": "ref11",
            "doi": "10.3844/jcssp.2024.465.486",
            "unstructured": "Alshammari, B. M. (2018). COVID-19 in the Era of Artificial Intelligence: Existing Technologies and A Strategic Model for Mitigating Future Pandemics"
        },
        {
            "key": "ref12",
            "doi": "10.1515/bis-2018-0018",
            "unstructured": "Bruun, E. P., & Duka, A. (2018). Artificial intelligence, jobs and the future of work: Racing with the machines. Basic Income Studies, 13(2), 20180018"
        },
        {
            "key": "ref13",
            "doi": "10.9770/jesi.2018.6.2(37)",
            "unstructured": "Mamedov, O., Tumanyan, Y., Ishchenko-Padukova, O., & Movchan, I. (2018). Sustainable economic development and post-economy of artificial intelligence. Entrep. Sustain, (2018), 6"
        },
        {
            "key": "ref14",
            "unstructured": "Peddi, S., Narla, S., & Valivarthi, D. T. (2019). Harnessing artificial intelligence and machine learning algorithms for chronic disease management, fall prevention, and predictive healthcare applications in geriatric care. International Journal of Engineering Research & Science & Technology, 15(1), 1-10"
        },
        {
            "key": "ref15",
            "doi": "10.1042/etls20190106",
            "unstructured": "Singh, J. A. (2019). Artificial intelligence and global health: opportunities and challenges. Emerging Topics in Life Sciences, 3(6), 741-746"
        },
        {
            "key": "ref16",
            "doi": "10.1093/ppmgov/gvz014",
            "unstructured": "Young, M. M., Bullock, J. B., & Lecy, J. D. (2019). Artificial discretion as a tool of governance: a framework for understanding the impact of artificial intelligence on public administration. Perspectives on Public Management and Governance, 2(4), 301-313"
        },
        {
            "key": "ref17",
            "doi": "10.3390/rs11131528",
            "unstructured": "Valade, S., Ley, A., Massimetti, F., D’Hondt, O., Laiolo, M., Coppola, D.,... & Walter, T. R. (2019). Towards global volcano monitoring using multisensor sentinel missions and artificial intelligence: The MOUNTS monitoring system. Remote Sensing, 11(13), 1528"
        },
        {
            "key": "ref18",
            "doi": "10.24251/hicss.2019.258",
            "unstructured": "Greene, D., Hoffmann, A. L., & Stark, L. (2019). Better, nicer, clearer, fairer: A critical assessment of the movement for ethical artificial intelligence and machine learning"
        },
        {
            "key": "ref19",
            "doi": "10.1016/j.ijmedinf.2018.01.015",
            "unstructured": "Fernandez-Luque, L., & Imran, M. (2018). Humanitarian health computing using artificial intelligence and social media: A narrative literature review. International journal of medical informatics, 114, 136-142"
        },
        {
            "key": "ref20",
            "doi": "10.5220/0006750606800687",
            "unstructured": "Fiumara, G., Celesti, A., Galletta, A., Carnevale, L., & Villari, M. (2018, January). Applying Artificial Intelligence in Healthcare Social Networks to Identity Critical Issues in Patients' Posts. In HEALTHINF (pp. 680-687)"
        },
        {
            "key": "ref21",
            "doi": "10.1162/daed_a_00460",
            "unstructured": "Wise, P. H., & Barry, M. (2017). Civil war & the global threat of pandemics. Daedalus, 146(4), 71-84"
        }
    ],
    "record": {
        "registrant": "Longman Publishers",
        "registered": "2026-09-18",
        "updated": "2026-09-21",
        "issue_number": 1,
        "source": "crossref-api",
        "source_agency": "Crossref (member 25296)"
    }
}

The Kernel Metadata Declaration

DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation

<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
  <referentDoiName>10.46243/jst.2022.v7.i04pp221-234</referentDoiName>
  <primaryReferentType>Creation</primaryReferentType>
  <registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
  <issueDate>2026-10-04</issueDate>
  <issueNumber>1</issueNumber>
  <referentCreation>
    <name primaryLanguage="en">
      <value>Harnessing Generative Adversarial Networks and AI-Oriented Anomaly Detection Mechanisms for Resilient Fraud and Crisis Mitigation Amidst Pandemic Challenges</value>
      <type>PrincipalTitle</type>
    </name>
    <identifier>
      <nonUriValue>10.46243/jst.2022.v7.i04pp221-234</nonUriValue>
      <uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2022.v7.i04pp221-234</uri>
      <type>DOI</type>
    </identifier>
    <identifier>
      <uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/1175</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri>https://www.jst.org.in/index.php/pub/article/download/1175/951</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/1175/4114</uri>
      <type>URI</type>
    </identifier>
    <identifier>
      <uri>https://www.jst.org.in/index.php/pub/article/view/1175/951</uri>
      <type>URI</type>
    </identifier>
    <structuralType>Digital</structuralType>
    <mode>Visual</mode>
    <character>Language</character>
    <type>JournalArticle</type>
    <principalAgent>
      <name>
        <value>SRI HARSHA GRANDHI</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>SUNDARAPANDIAN MURUGESAN</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>RAJYA LAKSHMI GUDIVAKA</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>RAJ KUMAR GUDIVAKA</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>BASAVA RAMANJANEYULU GUDIVAKA</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>DINESH KUMAR REDDY BASANI</value>
        <type>PrincipalName</type>
      </name>
      <role>Author</role>
    </principalAgent>
    <principalAgent>
      <name>
        <value>Longman Publishers</value>
        <type>PrincipalName</type>
      </name>
      <role>Publisher</role>
    </principalAgent>
    <linkedCreation>
      <name>
        <value>Journal of Science &amp; Technology</value>
        <type>PrincipalTitle</type>
      </name>
      <identifier>
        <nonUriValue>2456-5660</nonUriValue>
        <type>ISSN</type>
      </identifier>
      <referentCreationRole>Part</referentCreationRole>
      <referentCreationSequenceIdentifier>
        <value>07</value>
        <type>VolumeNumber</type>
      </referentCreationSequenceIdentifier>
      <referentCreationSequenceIdentifier>
        <value>04</value>
        <type>IssueNumber</type>
      </referentCreationSequenceIdentifier>
      <referentCreationSequenceIdentifier>
        <value>221-234</value>
        <type>PageNumber</type>
      </referentCreationSequenceIdentifier>
    </linkedCreation>
    <language>en</language>
    <languageOfReferentContent>
      <language>en</language>
      <languageOfReferentContentType>Original</languageOfReferentContentType>
    </languageOfReferentContent>
    <creationDate>
      <date>2022-04-29</date>
      <creationDateType>PublicationDate</creationDateType>
    </creationDate>
  </referentCreation>
</kernelMetadata>
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