Results 91 to 100 of about 26,114 (175)
SPAM CLASSIFICATION BASED ON SUPERVISED LEARNING USING MACHINE LEARNING TECHNIQUES [PDF]
ICTACT Journal on Communication Technology, 2011 E-mail is one of the most popular and frequently used ways of communication due to its worldwide accessibility, relatively fast message transfer, and low sending cost. The flaws in the e-mail protocols and the increasing amount of electronic business and
T. Hamsapriya +2 more
doaj
Disrupted Trajectories: COVID‐19, Transnational Youth Mobility and Unequal Transitions to Adulthood
International Migration, Volume 64, Issue 5, September 2026.ABSTRACT While the impact of COVID‐19 on youth development has been widely studied, less is known about its effects on transnationally mobile young adults. This longitudinal study of Australian outbound and inbound mobility examines how the pandemic disrupted this population's experiences abroad as they navigated transitions to adulthood.
Simon Chambers +2 more
wiley +1 more source
Modal verbs in South Asian online Englishes: must, (have) got to, have to and need to
World Englishes, Volume 45, Issue 3, Page 574-594, September 2026.Abstract This research article presents an analysis of four (semi‐)modals of necessity/obligation (must, (have) got to, have to and need to) in four CMC registers (comments, tweets, web forums and websites) originating from four South Asian countries (Bangladesh, India, Pakistan and Sri Lanka) along with the United Kingdom and United States.
Muhammad Shakir
wiley +1 more source
Image spam filtering using textual and visual information
, 2007 In this paper we focus on the so-called image spam, which consists in embedding the spam message into images attached to e-mails to circumvent statistical techniques based on the analysis of body text of e-mails (like the “bayesian filters”), and in ...
FUMERA, GIORGIO +3 more
core +2 more sources
Spam Spyder (Spam Detection using MI & AI) [PDF]
Spam emails and messages are a major problem for both users and organizations in the digital era. With the help of machine learning techniques and the Spyder Integrated Development Environment (IDE), this project seeks to create a reliable spam detection
Dnyaneshwari, Chafle +4 more
core
Analyzing Content-based Heuristics for Persian Web Spam Detection
International Journal of Information and Communication Technology Research, 2014 The rapid growth of web spam in the World Wide Web has motivated researchers to propose algorithms for combating web spam. Despite using these techniques, the search engines do not perform well in detecting Persian spam websites.
Elahe Rabbani, Azadeh Shakery
doaj
Image Spam Filtering by Content Obscuring Detection
, 2007 We address the problem of filtering image spam, a rapidly spreading kind of spam in which the text message is embedded into attached images to defeat spam filtering techniques based on the analysis of e-mail’s body text.
FUMERA, GIORGIO +3 more
core +2 more sources
, 2014 Educação Profissional::Informação e ComunicaçãoProduzido para abranger uma parte da história da internet de forma simples e divertida, informa e esclarece sobre os perigos aos quais os usuários estão expostos, explica o que é Spam e dá dicas de como ...
Comitê Gestor da Internet no Brasil (CGI.br)
core
Design and implementation of spam filtering system based on topic model
Dianxin kexue, 2017 Spam filtering technology plays a key role in many areas including information security,transmission efficiency,and automatic information classification.However,the emergence of spam affects the user's sense of experience,and can cause unnecessary ...
Xiaohuai KOU, Hua CHENG
doaj +2 more sources
IEEE AccessThis paper introduces SMART, a robust framework for email spam detection designed to adapt to and mitigate adversarial spam emails. SMART integrates several advanced techniques, including text cleaning and tokenization, word embeddings, K-means ...
Kamal Taha
doaj +1 more source