Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Abstract: In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the ...
Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.
Beyond advanced mathematics or theoretical computing breakthroughs, PQC is about protecting the systems enterprises already ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
A federal lawsuit accuses gas station operators in California of using AI-powered software to illegally collude and raise ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Consider the words "man", "woman", "boy", and "girl". Two of them refer to males, and two to females. Also, two of them refer to adults, and two to children. We can ...
Minh K. Quan, Pubudu N. Pathirana Cordon-MAS: Defending RAG against Knowledge Poisoning via Information-Flow Control Zhe Yu, Wenpeng Xing, Gaolei Li, Shuguang Xiong, Hongzhi Wang, Xuyang Teng, Meng ...
The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...
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