*.avi; *.csv; *.txt; *.zip
This study analyzes and characterizes the relationship between human emotions and other elements (social bots and echo chambers), which are major factors in the spread of information, including disinformation and misinformation. The data set consists of a CSV file of posts that match the target word and period, and a database of the accounts that made the posts.
The following is a overall description of the objects and what the audience can expect to gain by downloading them.
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26 Views
This dataset supports the manuscript titled “Strategies for Mitigating Degradation of Medium Voltage Electrical Equipment in Harsh Saline Environments.” The study focuses on identifying and addressing the challenges faced by medium voltage equipment in coastal environments characterized by high salinity, humidity, and extreme weather conditions. The dataset includes:
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85 Views
Walking-friendly cities not only promote health and environmental benefits but also play crucial roles in urban development and local economic revitalization. Generally, pedestrian interviews and surveys used to evaluate walkability, but this is expensive and lack professional insight. To address limitations in current methods for evaluating pedestrian pathways, we propose a novel approach utilizing wearable sensors and deep learning.
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93 Views
Field programmable gate array (FPGA) is becoming an attractive solution for real-time electromagnetic transient (EMT) simulations.
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50 Views
the dataset is related to an app-based framework for multivariate next-day price prediction using
GRU attention networks with rolling averages.
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25 Views
These are the codes and models used in our experiments regarding our submitted article “Cheby-KANs:
Advanced Kolmogorov-Arnold Networks for Applying Geometric Deep Learning in Quantum Chemistry
Applications”. The code is developed using python programming language. In our paper we hae
developed the B-spline based KANs with a more powerful and much faster polynomials “shifted-
Chebyshev polynomials” of the first kind. Also, we integrated our new architecture with geometric deep
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20 Views
The increasing number of wildfires damages nature and human life, making the early detection of wildfires in complex outdoor environments critical. With the advancement of drones and remote sensing technology, infrared cameras have become essential for wildfire detection. However, as the demand for higher accuracy in detection algorithms grows, the detection model's size and computational costs increase, making it challenging to deploy high-precision detection algorithms on edge computing devices onboard drones for real-time fire detection.
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47 Views
Electrical Impedance Tomography system measures change in path conductivity of a cross section of ROI. ROI is created by surrounding a cross-section by metal electrodes. These inject microlevel charges into ROI and attenuation due to ROI material is reconstructed.
X-ray CT is a well known non destructive imaging technology used primarily in medical applications. However, industrial CT are used for industrial applciations.
Computational Fluid dynamics assist flow simulation of fluid channels.
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217 Views
Due to the lack of publicly available injection-molded product defect datasets and the diversity of defects in terms of shapes, sizes, and textures, we collects defect samples from injection molding factories to ensure the model performs well in real industrial scenarios. To ensure the quality and usability of the data, after analyzing the sample data, data cleaning is performed to remove the irregular images.
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134 Views
Brain-Computer Interface (BCI) technology facilitates a direct connection between the brain and external devices by interpreting neural signals. It is critical to have datasets that contain patient's native languages while developing BCI-based solutions for neurological disorders. However, present BCI research lacks appropriate language-specific datasets, particularly for languages such as Telugu, which is spoken by more than 90 million people in India.
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361 Views