Excel
The SaudiShopInsights dataset is a comprehensive collection of customer reviews in the Arabic language, specifically focusing on the Saudi dialect, within the domains of fashion and electronics. Gathered from various online platforms, this dataset serves as a valuable resource for researchers and practitioners interested in sentiment analysis, natural language processing, and customer behavior studies.
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The dataset includes on-state saturation voltage information for eight samples under four different test conditions. Each Excel file consists of two data columns: one for cycle numbers and the other for on-state saturation voltage. Although these data were collected during the power cycling test at the maximum junction temperature, the effect of temperature increase in the on-state voltage has been compensated. Namely, the provided on-state voltage has been unified to the corresponding to the respective 125°C or 150°C.
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This dataset contains the input and output data from an industrial case study aiming to detect undesired non-intuitive behavior in an engineered complex system (an Autonomous Surface Vessel (ASV) on a Search and Rescue (SAR) mission). We used the Taguchi method to set up experiments, conducted the experiments in a case company specific test arena, and performed different forms of regression analysis.
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Compared with traditional finance, digital finance introduces digital technology for financial innovation, which largely reduces financial exclusion and discrimination, but improved financial services, such as mobile payment, online lending, virtual currency, and investment and wealth management, also involve potential risks. Hence, we propose a sentiment analysis model, GABP-News, to study the predictive ability of the information contained in news texts on digital financial development in China.
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We employed a case study research approach to gather the factors for troubled software projects from the existing literature to generate an innovative dataset. A comprehensive dataset that serves as a foundational reference for future investigations. We extracted incidents from case study data, generated open codes, and organized these open codes into 18 problem categories and 27 solution categories. The mapping between open codes, axial codes and phases is documented in dataset. The codes encapsulate the behavioral patterns or actions of a team that initiate or cause is
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RMUTT-DLD is an aggregated collection of data that encompasses details derived from the IC3 digital literacy certification program conducted at Rajamangala University of Technology Thanyaburi (RMUTT) in Thailand spanning from 2016 to 2023. The expanded dataset includes demographic details, academic records, and certification results, offering a holistic perspective on the progression of students' digital literacy over a period of time. The dataset has the flexibility to be imported into diverse applications, enabling its utilization for various purposes.
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This is the data of an innovative microstepping motor controller with excitation angular current double-loop feedback control (ACDL), and compared with the data of a conventional stepper motor controller (OP) and angle closed-loop control (AL).
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The data pertaining to a 12000 KW Grid-connected Solar Photo voltaic plant is added for use by reserachers.
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This dataset presents the measurement results for the evaluation study on the performance of an inductor-based and a switched capacitor-based energy harvesting boost converter PMICs by their charging efficiencies when connected to photovoltaic cells and Li-ion batteries under indoor lighting conditions.
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