Results 51 to 60 of about 104,528 (306)

Model Prediksi Keketatan Lolos SNMPTN Menggunakan Algoritma K-Nearest Neighbor [PDF]

open access: yes, 2023
Abstrak: Seleksi Nasional Masuk Perguruan Tinggi Negeri (SNMPTN) adalah pola penerimaan melalui penelusuran kemampuan dan prestasi akademik sebagai sistem seleksi nasional.
Ikriya Hanum   +7 more
core   +2 more sources

Fast Approximate Complete-data k-nearest-neighbor Estimation

open access: yesAustrian Journal of Statistics, 2020
We introduce a fast method to estimate the complete-data set of k-nearest-neighbors.This is equivalent to finding an estimate of the k-nearest-neighbor graph of the data. The method relies on random normal projections.
Alejandro Murua, Nicolas Wicker
doaj   +1 more source

CLASSIFICATION OF BLOOD DONOR DATA USING C4.5 AND K-NEAREST NEIGHBOR METHODS (CASE STUDY: UTD PMI BALI PROVINCE)

open access: yesPilar Nusa Mandiri, 2022
Classification of blood donor data at UTD PMI Bali Province by applying the C4.5 and K-Nearest Neighbor algorithms. The number of blood donor data donors is 34,948, of which 90% of the data, namely 31,454 is used as training data.
Ni Ketut Melly Astuti   +2 more
doaj   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

open access: yesFEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai   +4 more
wiley   +1 more source

Implementing K-Nearest Neighbors (k-NN) Algorithm and Backward Elimination on Cardiotocography Datasets

open access: yesJOIV: International Journal on Informatics Visualization
Having a healthy baby is a dream for mothers. Unfortunately, high maternal and fetal mortality has become a vital problem that requires early risk detection for pregnant women.
Muchamad Kurniawan   +4 more
doaj   +1 more source

A Weighted kNN Fault Detection Based on Multistep Index and Dynamic Neighborhood Scale Under Complex Working Conditions

open access: yesIEEE Access, 2023
Fault detection based on $k$ -nearest neighbor (FD- $k$ NN) is one of the most widespread fault detection techniques for industrial processes under complex working conditions, owing to its characteristic of local modeling.
Xiaoyi Qian   +3 more
doaj   +1 more source

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

open access: yesFEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas   +6 more
wiley   +1 more source

Penerapan Analisis Sentimen pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor

open access: yesJISKA (Jurnal Informatika Sunan Kalijaga), 2018
This research is made to implement the KNN (K-Nearest Neighbor) algorithm for sentiment analysis Twitter about Jakarta Governor Election 2017. The object is 2000 data tweets in Indonesia collected from Twitter during Januari 2017 using Python package ...
Akhmad Deviyanto   +1 more
doaj   +1 more source

The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome

open access: yesFEBS Letters, EarlyView.
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley   +1 more source

Optimum Gabor filter design and local binary patterns for texture segmentation [PDF]

open access: yes, 2008
We present a novel approach to multi-texture image segmentation based on the formation of an effective texture feature vector. Texture sub-features are derived from the output of an optimized Gabor filter.
Staunton, Richard C., Li, Ma
core   +1 more source

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