Results 151 to 160 of about 1,589,421 (354)

A kernel smoothing algorithm for ablation visualization in ultrasound elastography. [PDF]

Ultrasonics, 2019
Ingle AN, Varghese T.
europepmc   +1 more source

Divergence decision tree classification with Kolmogorov kernel smoothing in high energy physics

, 2021
V. Kůs, Kristina Jaruskova
openalex   +1 more source

AI‐Guided SERS Defines a Pan‐Cancer Diagnostic Biomarker

Advanced Science, EarlyView.
An AI‐enabled SERS platform integrates automated exosome enrichment with molecular fingerprinting to enable accurate early detection and differential diagnosis of ten common cancers. The system identifies exosomal dATP as a universal Raman biomarker, offering a scalable, noninvasive, and clinically translatable approach for precision oncology ...
Cai Zhang, Wen‐Hui Zhao, Duo Zuo, Tianxing Zhou, Wenjing Hou, Lingwei Wang, Shangheng Shi, Yang Yang, Yuanyuan Liu, Shao‐Kai Sun, Li Ren, Zhaoxiang Ye, Dingbin Liu, Dong Li, Xiaoyuan Chen, Jihui Hao   +15 more
wiley   +1 more source

Robust estimation for kernel exponential families with smoothed total variation distances [PDF]

Takafumi Kanamori, Kodai Yokoyama, Takayuki Kawashima   +2 more
openalex   +1 more source

Mechanism‐Driven Screening of Membrane‐Targeting and Pore‐Forming Antimicrobial Peptides

Advanced Science, EarlyView.
To combat antibiotic resistance, this study employs mechanism‐driven screening with machine learning to identify pore‐forming antimicrobial peptides from amphibian and human metaproteomes. Seven peptides are validated, showing minimal toxicity and membrane disruption.
Jiaxuan Li, Chenguang Yang, Ruihan Dong, Juan Francisco Bada Juarez, Lei Wang, Maximilian Emanuel Wettstein, Dali Wang, Chan Cao, Ying Lu, Chen Song   +9 more
wiley   +1 more source

Enhancing Optical Correlation Decision Performance for Face Recognition by Using a Nonparametric Kernel Smoothing Classification. [PDF]

Sensors (Basel), 2019
Saumard M, Elbouz M, Aron M, Alfalou A, Brosseau C.   +4 more
europepmc   +1 more source

Smoothing Parameters for Recursive Kernel Density Estimators under Censoring

, 2019
Yousri Slaoui
openalex   +2 more sources

Optimized smoothing kernels for SPH

We present a set of new smoothing kernels for smoothed particle hydrodynamics (SPH) that improve the convergence of the method without any additional computational cost. These kernels are generated through a linear combination of other SPH kernels, combined with an optimization strategy to minimize the error in the Gresho-Chan vortex test case.
Wissing, Robert, Quinn, Thomas R., Keller, Ben, Wadsley, James, Shen, Sijing   +4 more
openaire   +2 more sources

From Natural Discovery to AI‐Guided Design: A Curated Collection of Compact Enhancers for Crop Engineering

Advanced Science, EarlyView.
ABSTRACT Precise transgene‐free gene upregulation remains a challenge in crop biotechnology, as conventional enhancers often exceed CRISPR‐mediated knock‐in size constraints and face regulatory hurdles. Here we establish a foundational cross‐species resource of compact transcriptional enhancers developed via STEM‐seq, a high‐throughput screening ...
Qi Yao, Jin Gao, Keling Wang, Yufeng Liu, Peijin Han, Hong Pan, Xiaofeng Yang, Qianlan Yin, Dating Zhong, Lu Ye, Qi Deng, Lingling Gao, Xiaoyu Tu, Dequan Wang, Yuming Lu   +14 more
wiley   +1 more source

FUNGSI-FUNGSI KERNEL PADA METODE REGRESI NONPARAMETRIK DAN APLIKASINYA PADA PRIEST RIVER EXPERIMENTAL FOREST'S DATA

Jurnal Teknik Industri, 2006
In this paper we discuss some models for estimating the regression function, provided the data Y is given. The programming of these function are presented as well as the "tricks" in the R- programming, a statistical freeware.
Siana Halim, Indriati Bisono
doaj