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.
✓ 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.
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 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
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"referent": "Creation",
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"type": "PrincipalTitle",
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"url": "https://www.jst.org.in/index.php/pub/article/view/1175/951",
"purpose": "similarity-checking"
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"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"
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"license": {
"url": "https://creativecommons.org/licenses/by/4.0/",
"start": "2022-04-29",
"applies_to": "vor"
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"references": [
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"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"
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"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"
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"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"
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"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"
},
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"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"
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"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"
},
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"key": "ref9",
"unstructured": "Sobel, B. L. (2017). Artificial intelligence's fair use crisis. Colum. JL & Arts, 41, 45"
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"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"
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"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"
},
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"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"
},
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"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"
},
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"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"
},
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"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"
},
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"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"
},
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"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"
},
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"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)"
},
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"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",
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"updated": "2026-09-21",
"issue_number": 1,
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"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. -->
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<primaryReferentType>Creation</primaryReferentType>
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<type>PrincipalName</type>
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