In today’s fast-paced tech world, staying ahead of the curve is essential. Whether you’re looking to break into web development, switch careers into data science, or simply sharpen your coding skills, ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Conventional reservoir flow field characterization methods are ...
🚧 Exploring Trends in U.S. Border Crossings with Data Visualization & Scenario Modeling 📊🗺️ I recently dove into a fascinating dataset on U.S. Border Crossings and used Python, Seaborn, and Plotly ...
Abstract: Cloud-edge computing has been widely-adopted for large-scale data sharing and processing. In practical data sharing systems, data are very sensitive and typically encrypted, such as health ...
Abstract: Aiming at the important problem of highway traffic flow analysis, this paper proposes a solution based on electronic toll collection (ETC) transaction data. Firstly, the data-driven elements ...
We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...
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