The statistical characteristics variance, skewness, kurtosis and entropy of the fake currency images are extracted from images and are treated as the independent variables for model building. The dataset is splitted into 80:20 as training and test datasets. The classifiers Nave Bayes, Random Forest,...
nodejsavatarcommerceinternetcountrycurrencyexpressjspaymentsnamescitycommonloremfakedatafakerjsdummy-data-generatorfakedata-api UpdatedJan 27, 2023 JavaScript ogata-k/fakes-gen-cli Star4 Code Issues Pull requests Library and CLI tool for generating fake data as formatted as CSV, TSV and JSON. ...
Therefore, while dealing with fake news detection, one should equally achieve good precision while maintaining good accuracy values. The proposed algorithm was run using 5-fold cross-validation, where the dataset is divided into 80% for training and 20% for testing. Table 2 specifies the training...
o Currency: is the information current? Many times on Facebook, you will click on a story and notice that the date was from a few months or years ago, but your “friends” are acting outraged as if it is happening in the moment. o Relevance: is the information important to your resea...
The main objective of this project is fake currency detection using LabVIEW. This process can be automated in a computer using NI-IMAQ. The basic logic is developed using Image Acquisition-Laboratory Virtual Instrument Engineering Workbench (IMAQ-LabVIEW). The images of the original currencies are ...
Compared with paper currency, coins benefit from their great resistance to abrasion, and thereby can be used for quite a long time. However, in recent years, a lot of illegal counterfeiting rings manufacture and sell fake coins, which have caused great loss and damage to the society. The ...
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