Results 61 to 70 of about 332,624 (268)
BarekengAcute Respiratory Infections (ISPA) are a significant health issue. According to the World Health Organization (WHO), ISPA is the leading cause of death among children under five worldwide.
Yolanda Norasia +2 more
doaj +1 more source
A New Approach of Image Denoising Based on Adaptive Multi-Resolution Technique
Nigerian Journal of Technological Development, 2022 Medical imaging and diagnostic techniques have become popular over the last two decades with the advancement of data science, data analysis, data storage, and the internet.
Lalit Mohan Satapathy, Pranati Das
doaj
How to measure metallicity from five-band photometry with supervised machine learning algorithms
, 2015 We demonstrate that it is possible to measure metallicity from the SDSS five-band photometry to better than 0.1 dex using supervised machine learning algorithms.
Acquaviva, Viviana
core +2 more sources
Comparison of GCM Precipitation Predictions with Their RMSEs and Pattern Correlation Coefficients [PDF]
Water, 2018 This study evaluated 20 general circulation models (GCMs) of the Coupled Model Intercomparison Project, Phase 5 (CMIP5), which provide the prediction results for the period of 2006 to 2014, the period from which the observation data (the Global Precipitation Climatology Project (GPCP) data) are available.
Chulsang Yoo, Eunsaem Cho
openaire +1 more source
Microsphere Autolithography—A Scalable Approach for Arbitrary Patterning of Dielectric Spheres
Advanced Functional Materials, EarlyView.MicroSphere Autolithography (µSAL) enables scalable fabrication of patchy particles with customizable surface motifs. Focusing light through dielectric microspheres creates well defined, tunable patches via a conformal poly(dopamine) photoresist. Nearly arbitrary surface patterns can be achieved, with the resolution set by the index contrast between ...
Elliott D. Kunkel +3 more
wiley +1 more source
Probabilistic Perspectives on Collecting Human Uncertainty in Predictive Data Mining
, 2017 In many areas of data mining, data is collected from humans beings. In this contribution, we ask the question of how people actually respond to ordinal scales. The main problem observed is that users tend to be volatile in their choices, i.e.
Chan F Kenneth +3 more
core +1 more source
Kalman Filter for Noise Reduction in Aerial Vehicles using Echoic Flow [PDF]
, 2020 Echolocation is a natural phenomenon observed in bats that allows them to navigate complex, dim environments with enough precision to capture insects in midair.
Palo, Andrew
core
Advanced Functional Materials, EarlyView.This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Predicting Cryptocurrency Price Using RNN and LSTM Method
Jurnal Sisfokom, 2023 Cryptocurrency price prediction is a crucial task for financial investors as it helps determine appropriate investment strategies and mitigate risk. In recent years, deep learning methods have shown promise in predicting time-series data, making them a ...
Dzaki Mahadika Gunarto +2 more
doaj +1 more source
Nonlinear stability of the ensemble Kalman filter with adaptive covariance inflation [PDF]
, 2015 The Ensemble Kalman filter and Ensemble square root filters are data assimilation methods used to combine high dimensional nonlinear models with observed data.
Kelly, David +2 more
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