Results 111 to 120 of about 106,821 (289)
Statistical Data Mining Methods in Predicting Happiness and Habits [PDF]
ITM Web of ConferencesThe objective of this study is to employ statistical data mining methods and con-duct a survey among young individuals to construct a model capable of forecasting overall happiness.
Sulaiman Sazan Kamal +3 more
doaj +1 more source
Enzymatic DNA Reaction Networks for Orchestrating Stimuli‐Dependent Temporal Molecular Pulse
Advanced Science, EarlyView.We present an enzymatic DNA reaction network (EDRN) that encodes nucleic‐acid targets in time, converting inputs into a universal strand and then into programmable transient fluorescence pulses. With time‐color multiplexing, EDRN enables single‐tube high‐plex nucleic acid detection and shows strong agreement with clinical sequencing across 32 specimens.
Jiayu Yang +7 more
wiley +1 more source
Simplifying the visualization of confusion matrix
, 2014 Supervised Machine Learning techniques can automatically extract information from a variety of multimedia sources, e.g., image, text, sound, video. But it produces imperfect results since the multimedia content can be misinterpreted. Errors are commonly measured using confusion matrices, encoding type I and II errors for each class.
E.M.A.L. Beauxis-Aussalet (Emmanuelle) +1 more
openaire +2 more sources
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
Advanced Science, EarlyView.ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Computational Journal of Mathematical and Statistical SciencesBy analyzing maternal age, heart rate, blood oxygen level, blood pressure, and body temperature, it has the potential to evaluate the risk complexity for certain patients. Early identification and classification of risk variables can successfully prevent
Md Nurul Raihen, Sultana Akter
doaj +1 more source
Advanced Science, EarlyView.A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang +7 more
wiley +1 more source
Young White Pine Detection Using UAV Imagery and Deep Learning Object Detection Models
SensorsThis study demonstrates the power of combining unmanned aerial vehicle (UAV) imagery and deep learning (DL) for monitoring forest regeneration, specifically focusing on young white pine (Pinus strobus).
Abishek Poudel, Eddie Bevilacqua
doaj +1 more source
Advanced Science, EarlyView.This work proposed a pollen‐enhanced bionic mechanoreceptor based on ionic convection. Leveraging the ion anchoring effect of the pollen particle, the output performance could be ∼12 times higher than the original state. By employing deep learning models as AI brains, the feasibility of a sensory‐augmented prosthesis consisting of a pollen‐enhanced ...
Zi Hao Guo +7 more
wiley +1 more source
On estimation of a speaker's confusion matrix from sparse data [PDF]
Interspeech 2008, 2008 Confusion matrices have been widely used to increase the accuracy of speech recognisers, but usually a mean confusion matrix, averaged over many speakers, is used. However, analysis shows that confusion matrices for individual speakers vary considerably, and so there is benefit in obtaining estimates of confusion matrices for individual speakers ...
openaire +1 more source