Interestingly, ChatGPT showed adaptability in correcting errors. In earlier iterations, the model occasionally left nodes ...

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...

Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...

What Tennessee's three annual conference opponents mean for the Tennessee Volunteers. On Monday, it was announced by ON3's Chris Low that Tennessee's three annual opponents for the nine game ...

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Abstract: Based on K-means clustering algorithm and Yolov3 model, this paper proposes a traffic improvement scheme combining congestion warning and emergency lane optimization. By collecting the key ...

This study investigates the application of advanced clustering methods to geological fracture analysis in the Baba Kohi anticline, located in the folded Zagros region of southwest Iran. The primary ...

As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...

Abstract: The K-means is sensitive to the initial choice of cluster centers, leading to the results to be different every time. To address this, a new K-means variant based on decision values is ...