A new technique allows complex interactions in materials to be simulated using Monte Carlo simulations thousands of times ...
Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its promises.
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) ...
Federal judge appoints Phillip G. Young as receiver for Uncle Nearest brand. Weavers may continue brand management under court-approved receiver oversight. Receiver granted authority to initiate ...
Abstract: The K-nearest neighbors (kNNs) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
Abstract: In the multi-target tracking scenario, the nearest neighbor(NN) algorithm is the most commonly used method in the track association stage. By setting the tracking gate, the initial screening ...
Introduction: The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on ...
This repository explores two optimization algorithms: the Traveling Salesman Problem (TSP) and Nearest Neighbor Search (NNS). It features Jupyter notebooks implementing brute-force solutions to both ...
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