Results 41 to 50 of about 2,780,368 (218)
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2021 Spam Detection is the process to classify text which contains irrelevant or unsolicited messages sent over the internet, typically to a large number of users, for the purposes of advertising, phishing, spreading malware, etc. Text summarization is the technique of converting long text to short.
Timbadia, Dharmik, Vesaokar, Niraj
openaire +1 more source
Journal of Organizational Behavior, EarlyView.ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley +1 more source
Spam-Detection with Comparative Analysis and Spamming Words Extractions
, 2021 Communication through email plays an essential part especially in every sector of our day-to-day life. Considering its significance, it is important to filter spam emails from emails.
Md Khairul Islam (11580100) +5 more
core +1 more source
IEEE AccessThe persistence of SMS spam remains a significant challenge, highlighting the need for research aimed at developing systems capable of effectively handling the evasive strategies used by spammers.
Muhammad Salman +2 more
doaj +1 more source
How Passive Acoustic and Traditional Monitoring Estimate Bird Diversity Across Habitats
Remote Sensing in Ecology and Conservation, EarlyView.We compared traditional bird counts (PC) with passive acoustic monitoring (PAM) in a heterogeneous Alpine landscape. PAM recorded twice as many species, with a strong correlation between species richness and the bird counts (rs = 0.71); however, there were significant differences depending on habitat type.
Jarek Scanferla +7 more
wiley +1 more source
Using online linear classifiers to filter spam Emails [PDF]
, 2007 The performance of two online linear classifiers - the Perceptron and Littlestone’s Winnow – is explored for two anti-spam filtering benchmark corpora - PU1 and Ling-Spam.
Jones, Gareth J.F. +2 more
core +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
Detecting Spam at the Network Level [PDF]
, 2009 Spam is increasingly a core problem affecting network security and performance. Indeed, it has been estimated that 80% of all email messages are spam. Content-based filters are a commonly deployed countermeasure, but the current research focus is now moving towards the early detection of spamming hosts.
Anna Sperotto +3 more
openaire +3 more sources
The Legacies of Lockdown: Moral Logics of Exchange and Mistrust in Postpandemic China
Economic Anthropology, EarlyView.ABSTRACT When Shanghai entered an extended lockdown under China's Zero‐COVID policy in spring 2022, residents found themselves confined within their residential compounds, cut off from conventional supply chains, and dependent on improvised systems of local provisioning and state rationing. From the perspective of economic anthropology, such conditions
Erika Kuever
wiley +1 more source
Generative AI—the Transgression of Technology
Systems Research and Behavioral Science, EarlyView.ABSTRACT This article offers a systems‐theoretical analysis of generative artificial intelligence (GenAI) grounded in Niklas Luhmann's sociology of technology. It addresses a central conceptual problem: How GenAI can be understood within a theoretical framework that has traditionally defined technology as a means of stabilising action through causal ...
Jesper Tække
wiley +1 more source