Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
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 ...
Abstract: Liver disease is a significant public health issue worldwide, and early detection is critical for successful therapy and control. The traditional diagnosis is usually invasive and not easily ...
Abstract: Research and development of highly accurate falling detection systems (FDSs) for individuals with medical conditions or the elderly are crucial for mitigating the risks associated with falls ...
Radiotherapy Department of the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a progressive and ...
ABSTRACT: In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat ...
Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...
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 ...
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