Results 121 to 130 of about 131,772 (305)
An optimal k-nearest neighbor for density estimation
, 2012 [[abstract]]A k-nearest neighbor method, which has been widely applied in machine learning, is a useful tool to obtain statistical inference for an underlying distribution of multi-dimensional data. However, the knowledge on choosing an optimal order for
Kung, YH;Lin, PS;Kao, CH
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Detection of Android Malware in the Internet of Things through the K-Nearest Neighbor Algorithm. [PDF]
Sensors (Basel), 2023 Babbar H +4 more
europepmc +1 more source
, 2010 Díaz Solórzano NN. Taxonomic classification of genomic sequences : from whole genomes to environmental genomic fragments. Bielefeld (Germany): Bielefeld University; 2010.The main goal of this dissertation is to develop a classifier for assigning ...
Díaz Solórzano, Naryttza Namelly
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Analisis Sentimen Pengguna Twitter Mengenai “Sedotan Plastik” Dengan Metode K-Nearest Neighbor (KNN) Dan Neighbor-Weighted K-Nearest Neighbor (NWKNN) [PDF]
, 2019 Tahun 2017 Divers Clean Action, kelompok pemerhati lingkungan khususnya laut menyebutkan bahwa pemakaian sedotan di Indonesia mencapai 93.244.847 batang setiap harinya.
Utami, Shindy Sari
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Advanced Engineering Materials, EarlyView.Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao +3 more
wiley +1 more source
Perbandingan K-Nearest Neighbor Dan Fuzzy K-Nearest Neighbor Pada Diagnosis Penyakit Diabetes Melitus [PDF]
, 2013 Pada Perkembangan Di Dunia Kedokteran Saat Ini, Peneliti Dan Praktisi Memusatkan Perhatiannya Untuk Mendeteksi Diabetes Melitus (DM) Dan Mencegah Atau Menghambat Berkembangnya Komplikasi.
Meristika, YanitaSelly
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Advanced Engineering Materials, EarlyView.A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm +3 more
wiley +1 more source
Delving into gene-set multiplex networks facilitated by a k-nearest neighbor-based measure of similarity. [PDF]
Comput Struct Biotechnol J, 2023 Zheng C, Wang M, Yamada R, Okada D.
europepmc +1 more source
A dissimilarity-based approach for Classification
The Nearest Neighbor classifier has shown to be a powerful tool for multiclass classification. In this note we explore both theoretical properties and empirical behavior of a variant of such method, in which the Nearest Neighbor rule is applied after ...
Romero Morales,Dolores +3 more
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