Library workshop - CST2320 – Project Planning and Research for Information Systems Professionals - Literature Review by Laura Barber

Advanced Library Search - add citation & permalink

ldbarber1 — 2020-10-19 15:04:22 UTC

Database - Article (author, title, journal, year), access via MDX? Y/N

ldbarber1 — 2020-10-19 15:04:22 UTC

Concept Map

ldbarber1 — 2020-11-07 11:26:30 UTC

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ldbarber1 — 2020-11-07 11:49:46 UTC

Kasilingam, S. P. (2020) ‘Exploring the growth of COVID‐19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning’, Transboundary and emerging diseases. doi: 10.1111/tbed.13764.

https://mdx.primo.exlibrisgroup.com/permalink/44MUN_INST/1f6pion/cdi_proquest_miscellaneous_2430376680

IEEE

ldbarber1 — 2020-11-07 12:09:00 UTC

Wynants, Laure; Van Calster, Ben; Collins, Gary S; Riley, Richard D; Heinze, Georg; Schuit, Ewoud

"Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal"

British medical journal

2020

Available in MDX collection via
BMJ Journals

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2023-11-13 07:44:30 UTC

Reference: Drescher, L.S., Grebitus, C. and Roosen, J. (2023) ‘Exploring Food Consumption Trends on Twitter with Social Media Analytics: The Example of #Veganuary’, EuroChoices, 22(2), pp. 45–52. Available at: https://doi.org/10.1111/1746-692X.12403.

Permalink: https://librarysearch.mdx.ac.uk/permalink/44MUN_INST/1f6pion/cdi_crossref_primary_10_1111_1746_692X_12403

Consensus

ldbarber1 — 2025-10-13 04:26:29 UTC

Step 1 - Create a free account in Consensus.

Step 2 - Formulate your own research question or use one from the examples.

Step 3 - Report your findings (e.g., paste and sharing the summary via the Padlet post).

Step 4 - Check access to the first resource via Library Search (Article reference and if have access).

Consensus

ldbarber1 — 2025-10-13 04:36:12 UTC

Giacobbe, D.R., Zhang, Y. and de la Fuente, J. (2023) ‘Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges’, Annals of medicine (Helsinki), 55(2), p. 2286336. Available at: https://doi.org/10.1080/07853890.2023.2286336.

Avaiable in Library Search

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2025-10-13 05:58:07 UTC

Citation -

Casu, M., Guarnera, L., Caponnetto, P., Battiato, S., (2024) ‘GenAI mirage: The impostor bias and the deepfake detection challenge in the era of artificial illusions’, Forensic science international. Digital investigation (Online), 50. Available at: https://doi.org/10.1016/j.fsidi.2024.301795.

Permalink -

https://librarysearch.mdx.ac.uk/permalink/44MUN_INST/1f6pion/cdi_crossref_primary_10_1016_j_fsidi_2024_301795

The Role of Artificial Intelligence in Enhancing Data Analytics for Retail Inventory Management Decisions

2025-10-13 05:59:52 UTC

Remala, R. et al. (2024) ‘Enhancing Big Data Analytics With Artificial Intelligence: Innovative Techniques And Applications In Various Sectors’, in 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC). IEEE, pp. 1–6. Available at: https://doi.org/10.1109/ICEC59683.2024.10837399.

https://librarysearch.mdx.ac.uk/permalink/44MUN_INST/1f6pion/cdi_ieee_primary_10837399

2025-10-13 06:00:08 UTC

https://librarysearch.mdx.ac.uk/permalink/44MUN_INST/1f6pion/cdi_webofscience_primary_001030798200001

Camilleri, M.A. (2024) ‘Artificial intelligence governance: Ethical considerations and implications for social responsibility’, Expert systems, 41(7). Available at: https://doi.org/10.1111/exsy.13406.

2025-10-13 06:00:37 UTC

Seera, M. et al. (2024) ‘An intelligent payment card fraud detection system’, Annals of operations research, 334(1), pp. 445–467. Available at: https://doi.org/10.1007/s10479-021-04149-2.

https://librarysearch.mdx.ac.uk/permalink/44MUN_INST/8e61pq/cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8186361

Jellis, V., Martens, D. and Peeters, B. (2020) ‘Customs fraud detection’, Pattern analysis and applications : PAA, 23(3), pp. 1457–1477. Available at: https://doi.org/10.1007/s10044-019-00852-w.

https://librarysearch.mdx.ac.uk/permalink/44MUN_INST/8e61pq/cdi_proquest_journals_2414021305