Results 201 to 210 of about 23,327 (265)

Multiple Output Gaussian Process Model for Predicting Low Birth Weight in Medellín, Colombia: An Alternative to Conventional Machine Learning Models. [PDF]

Matern Child Health J
Salazar Blandon DA, García Arias HF, Giraldo Gutiérrez JJ.   +2 more
europepmc   +1 more source

Infrared Spectroscopic Predictions of Soil Properties for Agricultural Monitoring: Statistical and Soil Spectroscopic Considerations

Journal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background: Pseudo‐independent validation (PIV) using regional datasets is common in visible‐to‐near‐infrared (vis–NIR) and mid‐infrared (MIR) spectroscopy studies and produces accurate predictions but is relevant only to regional‐scale monitoring of known sites.
Svenja Tauber, Isabel Greenberg, Bernard Ludwig   +2 more
wiley   +1 more source

On the Optimal File Size of Capacity-Achieving Byzantine-Resistant Private Information Retrieval Schemes. [PDF]

Entropy (Basel)
Kruglik S, Kiah HM, Dau SH, Wang H.
europepmc   +1 more source

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source

A note on integrated local energy decay estimates for spherically symmetric black hole spacetimes. [PDF]

Math Ann
Holzegel G, Mavrogiannis G, Ruiz RV.
europepmc   +1 more source

Robust Spectroscopic Analysis Through Image‐Based Spectral Representation and Deep Learning Techniques

Journal of Raman Spectroscopy, EarlyView.
This study addresses calibration drift in Raman spectroscopy by transforming 1D spectra into 2D spider plot images processed by pretrained convolutional neural networks. This visualization strategy effectively converts detrimental spectral wavenumber shifts into simple image rotations, allowing the deep learning model to maintain high classification ...
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source

Concrete strength prediction using domain-driven feature engineering and explainable LightGBM. [PDF]

Sci Rep
Hereiz A, Elsahy M, Hassan K, El-Metwally S.   +3 more
europepmc   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

Journal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho, Daniel Cruz Cavalieri, Adilson Ribeiro Prado   +2 more
wiley   +1 more source

Enhancing IoT security through cloud-assisted post-quantum authentication: a case study with UOV signatures. [PDF]

Sci Rep
Maned VR, Rath S, Ramalingam J, Kuppusamy L.   +3 more
europepmc   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

Land Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source