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ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

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 ...

Every piece of land carries a story of development, transformation, and human impact. From expanding urban centers to shifting agricultural zones, land use plays a crucial role in shaping both local ...

Department of Synthetic Chemistry and Biological Chemistry, Graduate School of Engineering, Kyoto University, Katsura, Nishikyo-ku, Kyoto 615-8510, Japan ...

Abstract: Customer segmentation is a crucial strategy in data-driven marketing and customer relationship management, particularly in wholesale retail environments. This study integrates Recency, ...

In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the ...

It’s that time of year in Washington—the sun is aglow, the happy hour revelers have seized control of the streateries, and the air is sopping wet with pheromones (hold your nose through Arlington, or ...

This project focuses on performing RFM (Recency, Frequency, Monetary) analysis on an e-commerce dataset. The analysis helps to segment customers based on their purchasing behavior, which is valuable ...