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This malware dataset collected from Indonesia. The Malicious Windows Portable Executable has been extracted using LIEF library. The main objective of this dataset is to support research in the field of malware detection by employing machine learning methodologies. The gathered data will aid in the creation of more effective and precise machine-learning algorithms for detecting and reducing malware risks in Windows-operated systems.
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Objective, sensitive, and meaningful disease assessments are critical to support clinical trials and clinical care. Speech changes are one of the earliest and most evident manifestations of cerebellar ataxias. This data set contains features that can be used to train models to identify and quantify clinical signs of ataxic speech. Though raw audio or spectrograms cannot be released due to privacy concerns, this data set contains several OpenSMILE feature sets.
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242 Views
The dataset utilized in this research originates from two primary sources: the Central Bureau of Statistics of Indonesia, which provides data on Harvested Area and Production, and the Meteorology, Climatology, and Geophysics Agency of Indonesia, responsible for data on Rainfall, Humidity, and Temperature. This dataset encompasses six years of observations, collected annually from 2018 to 2023. It is important to note that the data for December 2023 are predictive estimates from these agencies.
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386 Views
This dataset comes from the Wind database. This dataset includes a series of Shanghai Stock Exchange 50 ETF option data due in December 2022. This dataset also includes some economic variables.The data used in this article is the trading data of Shanghai Stock Exchange 50ETF call options. The time of option data is from April 28 to October 26, 2022, sourced from the WIND database. The exercise price range of the selected option is from 2.5 to 3.5 (European call options). In addition, the expiration date of the options in this experiment is December 28, 2022.
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237 Views
This represents a comprehensive collection of data from a Automative manufacturing unit. This unit could be involved in a range of production activities, from assembly line manufacturing to more complex, multi-stage processes. The dataset is designed to capture various operational parameters that are crucial for analyzing and optimizing manufacturing processes.
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356 Views
The dataset contains data obtained by measuring hand movements while performing the letters of the Polish Sign Language alphabet. It contains data from 16 users performing all 36 letters ten times. Each single execution of a gesture is recorded in 75 samples. The experiment also included data augmentation, multiplying the number of data by 200. times.
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The Web has long become a major platform for online criminal activities. URLs are used as the main vehicle in this domain. To counter this issues security community focused its efforts on developing techniques for mostly blacklisting of malicious URLs.
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973 Views
The CF algorithm is combined to generate personalized English text reading recommendations for various long-tail user groups. By optimizing the recommendation generation process, the recommendation accuracy of the model is enhanced, and the recommendation performance and user satisfaction of the English text reading recommendation system are improved. The Top-N algorithm model is compared with the algorithm model based on matrix decomposition in terms of recommendation accuracy and F-Measure value, and the advantages of the proposed algorithm model are proved.
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This dataset records the assessment of the effectiveness of learning objects in statistical education within nursing degree programs. It includes observations from 54 students with the following variables: - diagnostico_institucional: Assessment by the educational institution. - pre_test: Knowledge assessment prior to the educational intervention. - post_test: Knowledge assessment following the educational intervention. - edad: Age of the students. - campus: Campus of the institution where education is conducted. - sede: University site grouping several campuses together.
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To make it possible for the model to distinguish the connection between requirements and the software architecture pattern during training using GAI, the expected response for a specific requirement was labeled with a software architecture pattern with the prefix “Software architecture pattern: ” and its explanation with the prefix “Explanation: ”.
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229 Views