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This dataset contains a collection of videos consisting of satellite imagery augmented with 3D ship models, accompanied by the ships' corresponding AIS data. The intention of this dataset is for detecting dark ships, which are sea vessels acting maliciously, often while spoofing their AIS data. Multiple datasets exist that consist of satellite imagery of ships, however this dataset has the advantage of including each ships' corresponding AIS data. The simulated ships include both normal and anomalous behavior, whether the anomalous behavior is benign or malicious.
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These medical texts data are derived from the patients' real disease cases, including the patients' diseases, symptoms and other information
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Tweets related to 10 different types of disasters were monitored from 28 September 2021 till 6 October 2021. 67528 rows containing 16 fields were extracted using Artificial Intelligence and Natural Language Processing Services of Microsoft.
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The dataset is the synthesized absorbance spectrum of a set of 9-gas mixtures following Beer-Lambert Law. We used the mid-infrared absorption cross-section spectra of C2H6, CH4, CO, H2O, HBr, HCl, HF, N2O, NO from the high-resolution transmission molecular absorption (HITRAN) database. Each sample contains 1,000 observations equally spaced between 1 µm and 7 µm wavelengths. The concentrations of the nine gases are mutually uncorrelated and follow uniform distribution between 0-10 µM.
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this is it
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Component based software development (CBSD) is a trend in the indusrty. This dataset contains the size of the components in various softwares viz. WEKA, Apache crypto library, Apache Codec library and basic linear alebra library by M. Elsheimy. The first three are in Java and last one is in C# programming languages, From the WEKA repository, 11 packages have been considered,
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Distributed Denial of Service (DDoS) attacks first appeared in the mid-1990s, as attacks stopping legitimate users from accessing specific services available on the Internet. A DDoS attack attempts to exhaust the resources of the victim to crash or suspend its services. Time series modeling will help system administrators for better planning of resource allocation to defend against DDoS attacks. Different Time Series analysis techniques are applied to detect the DDoS attacks.
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