A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges DOI

D.O. Hassan,

Bryar A. Hassan

Neural Computing and Applications, Год журнала: 2024, Номер unknown

Опубликована: Дек. 20, 2024

Язык: Английский

Multifaceted anomaly detection framework for leachate monitoring in landfills DOI
Rong Liu,

Shiyu Jiang,

Jian Ou

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 368, С. 122130 - 122130

Опубликована: Авг. 24, 2024

Язык: Английский

Процитировано

25

Impact, Compliance, and Countermeasures in Relation to Data Breaches in Publicly Traded U.S. Companies DOI Creative Commons
Gabriel Arquelau Pimenta Rodrigues, André Luiz Marques Serrano, Guilherme Fay Vergara

и другие.

Future Internet, Год журнала: 2024, Номер 16(6), С. 201 - 201

Опубликована: Июнь 5, 2024

A data breach is the unauthorized disclosure of sensitive personal data, and it impacts millions individuals annually in United States, as reported by Privacy Rights Clearinghouse. These breaches jeopardize physical safety whose are exposed result substantial economic losses for affected companies. To diminish frequency severity future, imperative to research their causes explore preventive measures. In pursuit this goal, study considers a dataset incidents affecting companies listed on New York Stock Exchange NASDAQ. This has been augmented with additional information regarding targeted company. paper employs statistical visualizations clarify these assess consequences were compromised. We then propose mitigation controls based established frameworks such NIST Cybersecurity Framework. Additionally, reviews compliance scenario examining relevant laws regulations applicable each case, including SOX, HIPAA, GLBA, PCI-DSS, evaluates stock market prices. also review guidelines appropriately responding leaks U.S., achievement cost reduction. By conducting analysis, work aims contribute comprehensive understanding empower organizations safeguard against them proactively, improving technical quality basic services. our knowledge, first address protection regulations, security countermeasures, financial prices, incident response strategies. Although discussion focused publicly traded may apply public private worldwide.

Язык: Английский

Процитировано

9

Missing log prediction using machine learning perspectives: A case study from upper Assam basin DOI
Bappa Mukherjee, Kalachand Sain, Xinming Wu

и другие.

Earth Science Informatics, Год журнала: 2024, Номер 17(4), С. 3071 - 3093

Опубликована: Май 22, 2024

Язык: Английский

Процитировано

5

Machine Learning to Assess and Support Safe Drinking Water Supply: A Systematic Review DOI
Feng Feng, Yuanxun Zhang,

Zhenru Chen

и другие.

Journal of environmental chemical engineering, Год журнала: 2024, Номер unknown, С. 114481 - 114481

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4

Performance of Term Frequency - Inverse Document Frequency and K-Means in Government Service Identification DOI

Husni Lubis,

Mahyuddin K. M. Nasution, Amalia Amalia

и другие.

Опубликована: Июль 12, 2024

Язык: Английский

Процитировано

0

A comprehensive systematic review of machine learning in the retail industry: classifications, limitations, opportunities, and challenges DOI

D.O. Hassan,

Bryar A. Hassan

Neural Computing and Applications, Год журнала: 2024, Номер unknown

Опубликована: Дек. 20, 2024

Язык: Английский

Процитировано

0