Results 191 to 200 of about 844,277 (275)

FLF-RCNN: A Fine-Tuned Lightweight Faster RCNN for Precise and Efficient Industrial Quality Inspection. [PDF]

Sensors (Basel)
An N, Yang Z, Wan L, Li J, Wang Y.
europepmc   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source

Improving LIME Stability via Density-Awareness: Evaluation and Comparison of AKDE-LIME. [PDF]

Appl Artif Intell
Tzionis G, Kougka G, Gialampoukidis I, Vrochidis S, Kompatsiaris I, Vlachopoulou M.   +5 more
europepmc   +1 more source

A graph kernel method for DNA-binding site prediction. [PDF]

BMC Syst Biol, 2014
Yan C, Wang Y.
europepmc   +1 more source

Smart Optogenetics for Real‐Time Automated Control of Cardiac Electrical Activity

Advanced Science, EarlyView.
We are able to stop dangerous heart‐rhythm spirals before they fully form. Within about 100 ms, it pinpoints the spiral's tiny central tip (≈0.9 mm) using light‐based sensing and machine learning, then shines targeted light to shut it down. This fast, precise, closed‐loop approach detects, targets, and terminates arrhythmias in real time.
Shanliang Deng, Niels Harlaar, Juan Zhang, Sven O. Dekker, Nina N. Kudryashova, Huiling Zhou, Cindy I. Bart, TianYi Jin, Georgy Derevyanko, Willem van Driel, Alexander V. Panfilov, René H. Poelma, Antoine A. F. de Vries, GuoQi Zhang, Tim De Coster, Daniël A. Pijnappels   +15 more
wiley   +1 more source

Flexible statistical approaches for modeling nonlinear relationships in diabetes prediction using splines, Bayesian kernel regression and Bayesian regression trees. [PDF]

Discov Anal
Ranathungage TD, Blumer H, Muthukumarana S.   +2 more
europepmc   +1 more source

Mechanism of Solid Solution‐Driven Texture Induced by Ag Doping in YBCO Superconductor

Advanced Science, EarlyView.
Ag‐doped YBCO with a designed concentration gradient is produced by dual‐material co‐extrusion and freeze‐drying. During annealing, Ag+ ions diffuse into Y123, substituting for Cu(1) and inducing c‐axis relaxation. This leads to the formation of [001]‐oriented YBCAO, creating a coherent interface that templates the textured growth of Y123. Consequently,
Fenyan Zhao, Baoqiang Zhang, Xiyang Su, Yantang Zhao, Xingyi Zhang   +4 more
wiley   +1 more source

SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]

PLoS One
Jena M, Dehuri S, Cho SB.
europepmc   +1 more source

A Rational Optimization Approach for the Development of a Multiplexed Lateral Flow Immunoassay: Detection of Nonepithelial Ovarian Cancer Markers in Human Serum

Advanced Science, EarlyView.
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed, Carl E. Eskildsen, Luca Panariello, André Shamsabadi, Christy J. Sadler, Edmund H. Wilkes, Federico Galvanin, Yuxi Cheng, Sara Carvalho, Srdjan Saso, Molly M. Stevens   +10 more
wiley   +1 more source

Interpretable Sensor Change Detection via Conditional Cauchy-Schwarz Divergence. [PDF]

Sensors (Basel)
Wang W, Shen Y, Ni Y, Wu W.
europepmc   +1 more source