Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

The increasing complexity of Internet of Things and modern battlefield electromagnetic environments poses significant challenges to radiation source localization, especially under electronic ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...

Abstract: DBSCAN algorithm is a density-based clustering algorithm, and it has been widely used in data clustering. DBSCAN algorithm needs to calculate the distance between each object and all the ...

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working with amazons3 ,t2.micro Ubuntu instance, Amazon AutoScaling group, Map-Reduce and Parallelize the implementation of K-means and DBSCAN algorithm using Hadoop and Map reduce cluster ...

Abstract: GbDBSCAN (an efficient grid-based DBSCAN algorithm) is an excellent improved DBSCAN algorithm, which makes up the defects that DBSCAN algorithm is sensitive to clustering parameters and ...