Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...
The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...
Abstract: This study aims to highlight the effectiveness and feasibility of multiple machine learning algorithms in solving real-world problems by comparing their application examples. The team ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
The second you start watching a video on YouTube, the site begins building an algorithm of your likes. While the goal of that is to show you content you want to see, it means you'll miss out on so ...
The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...
Abstract: The proliferation of digital devices like smartphones and the Internet of Things has resulted in a flood of data. Every second, millions of bytes of data (including text, music, images, and ...
ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...
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