The results of the open card sorting study showed a large amount of inter-participant variation making the research team wonder how the consequences of security attacks were comprehended by the participants.
In this paper, we crafted a set of phishing and legitimate emails with similar indicators in order to investigate whether these cues are captured or disregarded by email embeddings, i. e., vectorizations.
This paper conducts an experiment through which several mainstream and conventional machine learning algorithms are developed to study the prediction of emotions perceived from sounds.
It is important and informative to compare and contrast major economic crises in order to confront novel and unknown cases such as the COVID-19 pandemic.
Computational Engineering, Finance, and Science General Economics Economics
We compare the performance through various machine learning models employing word vectors obtained using both tf-idf and Doc2Vec models.
Cryptography and Security Human-Computer Interaction
Online reviews play an integral part for success or failure of businesses.
Our model demonstrated improvement in training time during convolution from $600-700$ ms/step to $400-500$ ms/step.
The performance of coverage-based fault localization greatly depends on the quality of test cases being executed.
Customers represent their satisfactions of consuming products by sharing their experiences through the utilization of online reviews.
In particular, deep learning techniques are capable of capturing and learning hidden features in a given data sets and thus building a more accurate prediction model for clustering and labeling problem.
The detection of zero-day attacks and vulnerabilities is a challenging problem.
The major question is that whether the gates incorporated in the LSTM architecture already offers a good prediction and whether additional training of data would be necessary to further improve the prediction.
Phishing is the simplest form of cybercrime with the objective of baiting people into giving away delicate information such as individually recognizable data, banking and credit card details, or even credentials and passwords.