Results 191 to 200 of about 165,308 (288)
Quantum AI in Speech Emotion Recognition. [PDF]
Norval M, Wang Z.
europepmc +1 more source
Schematic of the CO adsorption process in a fixed‐bed column containing pure NaY zeolite and Nb‐modified NaY (NaY–5%Nb). On the left, breakthrough curves and temperature profiles highlight the dynamic performance and thermal effects during CO adsorption.
Elson Oliveira +3 more
wiley +1 more source
Blockchain-Based Trusted Data Management with Privacy Preservation for Secure IoT Systems. [PDF]
Zhou H, Gao H, Ma Z, Lai G.
europepmc +1 more source
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley +1 more source
Efficient unified architecture for post-quantum cryptography: combining Dilithium and Kyber. [PDF]
Dobias P, Malina L, Hajny J.
europepmc +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
An Optimized Pedestrian Inertial Navigation Method Based on the Birkhoff Pseudospectral Method. [PDF]
Zhang Z, Zhao D, Tian D.
europepmc +1 more source
Asymptotic properties of cross‐classified sampling designs
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models. [PDF]
Gebremariam HG, Taye S, Tarekegn AG.
europepmc +1 more source

