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Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Hierarchical clustering algorithm based on fusion rule of competitive neighborhood graph and genetic distance

Natural neighbor can adaptively identify clusters of arbitrary shape. However, it is often difficult to obtain satisfactory clustering results when dealing with complex datasets. To solve this issue, ...
IEEE

Performance Improvement of Ad-hoc On-demand Distance Vector (AODV) Routing Protocol Using K-Means Clustering in Flying Ad-hoc Network

Abstract: Unmanned Aerial Vehicles (UAVs) have significant roles across diverse applications, including surveillance, disaster response, search and rescue, etc. Robust communication protocols are ...