Predicting the Level of Safety Feeling of Bangladeshi Internet users using Data Mining and Machine Learning DOI Open Access
Md. Safiul Alam, Anirban Roy,

Partha Protim Majumder

и другие.

International Journal of Advanced Computer Science and Applications, Год журнала: 2023, Номер 14(9)

Опубликована: Янв. 1, 2023

An amazing combination of cutting-edge data mining and machine learning methodologies to predict the level safety feeling among Bangladeshi internet users, which is a significant departure in this subject. By leveraging algorithms innovative sources, work provides previously unheard-of insights into how demographic perceives online safety, shedding light on an essential yet underappreciated aspect their digital lives. This exceptional study's original research increases body knowledge sets road for policy recommendations intervention tactics that will enable Bangladesh become global leader security.

Язык: Английский

Preserving Javanese Language and Culture in The Digital Age : Challenge and Future Prospects DOI Creative Commons

Salindri Anistya Ori,

Hartanti Woro Susianti

LACULTOUR Journal of Language and Cultural Tourism, Год журнала: 2023, Номер 2(2), С. 79 - 88

Опубликована: Ноя. 16, 2023

Javanese holds a central place in the rich tapestry of Indonesian culture, and its significance extends far beyond mere linguistic communication. Its historical roots, role art tradition, importance shaping regional national identities, contribution to nation's literary heritage make it language immense which needs be preserved passed down future generations. revitalization efforts by utilizing digital technology, such as websites, applications, social media, have become effective they are easily accessible engaging. It empowers indigenous communities take control their own preservation while connecting them with global network supporters resources. This literature study aims describe age. Data is obtained from various sources journals, books, documentation, internet. The result this that learning serves dynamic inclusive tool preserve making more accessible, engaging, customizable preferences diverse digitally connected audience. age has opened up exciting opportunities not only explore but also contribute preservation.

Язык: Английский

Процитировано

0

Predicting the Level of Safety Feeling of Bangladeshi Internet users using Data Mining and Machine Learning DOI Open Access
Md. Safiul Alam, Anirban Roy,

Partha Protim Majumder

и другие.

International Journal of Advanced Computer Science and Applications, Год журнала: 2023, Номер 14(9)

Опубликована: Янв. 1, 2023

An amazing combination of cutting-edge data mining and machine learning methodologies to predict the level safety feeling among Bangladeshi internet users, which is a significant departure in this subject. By leveraging algorithms innovative sources, work provides previously unheard-of insights into how demographic perceives online safety, shedding light on an essential yet underappreciated aspect their digital lives. This exceptional study's original research increases body knowledge sets road for policy recommendations intervention tactics that will enable Bangladesh become global leader security.

Язык: Английский

Процитировано

0