Results 181 to 190 of about 420,618 (277)
Import Wheat Tenders and the Effects of the Russian Invasion
ABSTRACT Risk and volatility for many commodities escalated sharply following the Russian invasion of Ukraine, creating numerous uncertainties for trading firms and importers. The purpose of this study is to analyze the bidding behavior in Egyptian wheat import tenders in the pre‐ and post‐invasion periods.
William W. Wilson +2 more
wiley +1 more source
Enhancing reliability and spectral efficiency in future wireless networks via intelligent omni-surface enhanced MU-MIMO cooperative hybrid NOMA. [PDF]
Kennedy HSJ +4 more
europepmc +1 more source
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
wiley +1 more source
Loss control-based QKD with noisy devices. [PDF]
Pastushenko V +5 more
europepmc +1 more source
Abstract Filamentous microorganisms exhibit complex morphologies that influence product formation and are affected by various bioprocess parameters. Consistent morphology is therefore essential for comparable results during scale‐up. This study investigates the scale‐up of Streptomyces species (Streptomyces spp.) cultivations from shake flasks to ...
Gesa Brauneck +12 more
wiley +1 more source
Categorical framework for quantum-resistant zero-trust AI security. [PDF]
Cherkaoui I, Clarke C, Horgan J, Dey I.
europepmc +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Error Correction in Bluetooth Low Energy via Neural Network with Reject Option. [PDF]
Almeida WD +3 more
europepmc +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Energy-efficient wireless sensor network for urban groundwater level monitoring using machine learning and sink mobility. [PDF]
Manchanda R +8 more
europepmc +1 more source

