Guava fruit production is one of the main sources of economic growth in Asian countries, the world production of guava in 2019 was 55 million tons. Guava disease is an important factor in economic loss as well as quantity and quality of guava. The original guava fruit disease dataset consist of 38 images of phytophthora, 30 images of root and 34 images of scab guava disease with 650x650x3 pixel.
The following dataset presents the students' performance in mathematics for level 6 students over three semesters. Each semester contains a number of assessment blocks
<p>The dataset present level 6 students' performance in Mathematics over a whole year (three semesters): autumn, spring and summer.</p>
This dataset contains information about published papers on how biological signals (ECG, EEG, EDA and MG + eye-tracking) are being used and collected in the field of video games. This dataset reflects the information published including the choice of signals, the devices used to collect them (e.g., wearables), the purposes for which they are collected, and the main results reported from their use.
"In this article, we present a novel approach to designing and optimizing unmanned aerial vehicles (UAVs) to carry low-weight cargo. Various computational design techniques are involved, including the computer-aided design (CAD) of the aircraft's mechanical components and the simulation of its structural and material properties by finite elements methods (FEM). Mathematical models were also used to describe and improve the rotodynamic stability, control, and weight-carrying capacity of the UAV.
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Please cite the following paper when using this dataset:
N. Thakur, “A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave,” Journal of Data, vol. 7, no. 8, p. 109, Aug. 2022, doi: 10.3390/data7080109
Abstract
The paper describes a detailed procedure used to increase the reliability of online exams at a university. Background: The COVID-19 pandemic forced most universities to teach online. The most challenging part of online teaching is conducting online exams. Cheating in online exams is much easier, and many students may opt to cheat. Consequently, a fair assessment of the student performance becomes very challenging.
StEduCov, a dataset annotated for stances toward online education during the COVID-19 pandemic. StEduCov has 17,097 tweets gathered over 15 months, from March 2020 to May 2021, using Twitter API. The tweets are manually annotated into agree, disagree or neutral classes. We used a set of relevant hashtags and keywords. Specifically, we utilised a combination of hashtags, such as '#COVID 19' or '#Coronavirus' with keywords, such as 'education', 'online learning', 'distance learning' and 'remote learning'.
