Results 31 to 40 of about 26,114 (175)
Towards eradication of SPAM: A study on intelligent adaptive SPAM filters [PDF]
, 2006 As the massive increase of electronic mail (email) usage continues, SPAM (unsolicited bulk email), has continued to grow because it is a very inexpensive method of advertising.
Hassan, Tarek
core
Detecting Spam albums in online social network
Tongxin xuebao, 2016 A supervised learning solution to detect Spam albums instead of spammers in Photo Spam was proposed.Specifically,the characteristics of Photo Spam and the differences between Photo Spam and traditional Spam were analyzed.Then 12 features which were ...
Shao-qing LYU +3 more
doaj +2 more sources
Machine learning for email spam filtering: review, approaches and open research problems
Heliyon, 2019 The upsurge in the volume of unwanted emails called spam has created an intense need for the development of more dependable and robust antispam filters. Machine learning methods of recent are being used to successfully detect and filter spam emails.
Emmanuel Gbenga Dada +5 more
doaj +1 more source
Journal of Hospital Medicine, EarlyView.Abstract Background High recruitment, intervention fidelity, and retention rates in clinical trials are necessary to ensure generalizable conclusions; quality improvement (QI) methods can be used to track and improve these rates. The Garnering Effective Telehealth to Help Optimize Multidisciplinary Team Engagement (GET2HOME) study is a randomized ...
Calise Curry +11 more
wiley +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
Detection of Social Network Spam Based on Improved Extreme Learning Machine
IEEE Access, 2020 With the rapid advancement of the online social network, social media like Twitter has been increasingly critical to real life and become the prime objective of spammers.
Zhijie Zhang, Rui Hou, Jin Yang
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
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
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
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