Results 61 to 70 of about 592,656 (330)
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
Demystifying Fixed k-Nearest Neighbor Information Estimators
Estimating mutual information from i.i.d. samples drawn from an unknown joint density function is a basic statistical problem of broad interest with multitudinous applications.
Gao, Weihao +2 more
core +1 more source
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
A Continuous k-Nearest Neighbor Query Method for Moving Data in Obstructed Spaces
For the nearest neighbor query problem of continuous moving objects in spatio-temporal databases, the COpKNN (continuous obstructed possible k-nearest neighbor) query is proposed: in a two-dimensional space, given a moving query point q, a set of moving ...
WAN Jing +3 more
doaj +1 more source
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
Aggressive prostate cancer is associated with pericyte dysfunction
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Fast Approximate Complete-data k-nearest-neighbor Estimation
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
<p dir="ltr"><span>Bank is a business entity that collects public funds in the form of savings and also distributes them to the public in the form of credit or other forms. Credit risk analysis can be done in various ways such as marketing analysis and big data using machine learning.
Dian Tri Wilujeng +2 more
openaire +1 more source
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
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

