Results 181 to 190 of about 46,695 (300)

Tutorial on WDK-VENUS: A Streamlined and Modular Workflow for High-Temperature Dynamics and Kinetics of Atom-Diatom Collisions. [PDF]

ACS Phys Chem Au
Yang J, Li J.
europepmc   +1 more source

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

Earthquake Engineering &Structural Dynamics, Volume 55, Issue 7, Page 1533-1551, June 2026.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman, Enrico Tubaldi, Roberto Gentile, John Douglas   +3 more
wiley   +1 more source

Quality Assessment and Predictive Modeling of Chickpea, Lentil and Camelina Yield: Effects of Nitrogen, Irrigation, Rainfed Conditions, and Intercropping Using Machine Learning Approaches

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Given increasing water scarcity, the need to reduce chemical inputs, and the growing demand for nutritionally valuable vegetable oils, identifying sustainable cropping systems for camelina production has become increasingly important. This study aimed to evaluate the combined effects of nitrogen application, irrigation regimes (irrigated and ...
Shahzad Jamaati Somarin, Elmira Mohammadvand, Gholamreza Mohsenabadi, Majid Majidian   +3 more
wiley   +1 more source

Environmental education as a means of combating growing environmental pollution: an optimized- explainable artificial intelligence (XAI) approach. [PDF]

Sci Rep
Hamad OAM, Baysen E, Usman AG.
europepmc   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, Volume 42, Issue 4, Page 1426-1442, June 2026.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Topographic correction for ground penetrating radar for enhanced detection of dike subsurface anomalies. [PDF]

Sci Rep
Li C, Zhao X.
europepmc   +1 more source

On why cancer cells require a great amount of glucose

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract The traditional thinking has been that cancer cells require a great amount of glucose to support their rapid growth, but the reality may be different. We have previously demonstrated that all cancer cells in The Cancer Genome Atlas harbor persistent Fenton reactions in their cytosol, which generate OH− ${\text{OH}}^{-}$ and ultimately kill the
Xuechen Mu, Aoran Liu, Rui Shi, Long Xu, Zhenyu Huang, Ye Zhang, Ying Xu   +6 more
wiley   +1 more source

Machine-Learning Ice Spectra: From 1 to 256 Features. [PDF]

J Chem Theory Comput
Shermukhamedov S, Kullgren J, Sethio D, Hermansson K.   +3 more
europepmc   +1 more source

Recursive Feasibility of Nonlinear Stochastic Model Predictive Control With Gaussian Process Dynamics

International Journal of Robust and Nonlinear Control, Volume 36, Issue 9, Page 4957-4970, June 2026.
ABSTRACT Data‐based learning of system dynamics allows model‐based control approaches to be applied to systems with partially unknown dynamics. Gaussian process regression is a preferred approach that outputs not only the learned system model but also the variance of the model, which can be seen as a measure of uncertainty.
Daniel Landgraf, Andreas Völz, Knut Graichen   +2 more
wiley   +1 more source

A Novel Artificial Intelligence-Enabled Method for Electronic Nose Design Based on Olfactometry Data. [PDF]

Sensors (Basel)
Teker G, Yonar T, Yiğit E.
europepmc   +1 more source